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SAFe vs Agile frameworks: Scrum Scale vs LeSS vs Spotify

The new updates to SAFe® 5.0 are a significant step in the right direction, as organizations look to promote agility across the length and breadth of their business. With their latest version, Scaled Agile Inc. has emphasized customer-centricity, expanded Agile thinking beyond technical teams, and highlighted the impact of enabling agility at the portfolio management level.The Scaled Agile Framework’s latest variant, SAFe®  5.0, was formally published on January 7, 2020. With a particular focus on business and organizational agility, SAFe® breaks out of the enterprise's technology and software sectors and embraces agility across all organization areas.  SAFe® has matured as a leading Agile -scaling framework, and it continuously enhances, consolidates the latest research, and responds to input and feedback from its customers and partners.Key Highlights of New SAFe® 5:An improved Big Picture better emphasizes flow and continuous deliveryImplementing SAFe®  to hardware development expedites the delivery of cyber-physical systemsNew direction around DevSecOps technical skills and tools better controls the constant delivery pipelineBroader demand for applying Lean-Agile approaches to business domains supports business agilityIntegrated participatory budgeting promotes a dynamic and collaborative method of allotting funds to value streamsPatterns and behaviours for planning teams and ARTs simplifies designing around valueWhy was an Update required?Global markets and the current pace of technological innovation have forced organizations to transform and compete. The current business models, organizational hierarchy, and technology infrastructure can't keep up with its needs to adapt. Agile product delivery isn't enough. It would help if you had business agility. What is business agility?Business agility allows us to develop opportunities by empowering us to make intelligent decisions, allocate money, and align the appropriate people to do the work. Business agility occurs when the entire organization uses Lean and Agile practices to continuously and proactively produce innovative business solutions quicker than the competition.With direction from SAFe® 5.0, it is easy to win in the digital age. But the framework by itself can’t organize the transformation; it requires teams and leaders to make it happen. When agility penetrates your organization, it can quickly adapt to new macro conditions in the industry. What is needed is to reconfigure groups and redeploy talent in response to changing business needs. In short: thrive in fast-moving markets.What is the Scaled Agile Framework® (SAFe®)?Scaled Agile Framework or SAFe® is a promptly available stream of information that helps practitioners achieve their goal to incorporate Agile practices at the organizational level. It provides a seamless lightweight experience for the entire software development team.There are three different segments of the SAfe® frameworkTeamProgramPortfolioSAFe® also consists of;A Design that satisfies the needs and requirements of each stakeholder associated with the projectLean and Agile principlesLoads of direction for work at Value Stream, program, team and the organization PortfolioWhy use SAFe®?Scaled Agile Framework is immensely lighter in weight and more straightforward than any of its competitors. And yet, it can take on the most complex and most significant value streams and handle the most complex system development being done in the market today.If implemented on an Agile Framework, the following are the advantages that your team, project, and the company can hold.Quality will grow by more than 50%Employee commitment and job satisfaction would increaseTimely delivery to market will get a boost up to 75%Productivity is enhanced by 50%.When Should We Use SAFe®?When implementing an agile approach consistently across more widespread, cross-cultural team programs and portfolios, the team is involved in implementing an elegant system.When teams are interested in working independentlyWhen you are attempting to scale Agile over your organization, but are grappling with regulating to achieve uniform or consistent approach beyond departments.Multiple teams trying Agile implementation but constantly facing hindrances, obstacles, and breakdownsScaling Agile across the organization but unsure what different roles may be required or what existing functions must changeAn organization wants to improve its product development lead time and understand how other organizations have achieved success in scaling Agile with SAFe®.Is the Scaled Agile Framework Different From Its Competitors in the Market?Different factors set it apart from every competitor in the market.It gives lightweight, reasonably verified results that are specific to the levelOffers valuable extensions to standard agile practicesIt gives a comprehensive understanding of software improvementOffers continuous or constant feedback on quality and refinementObtainable in a highly approachable and usable formIt is openly available and free to useIt regularly/repeatedly modifies/maintains the most regularly used agile practicesGrounds agile practices to an enterprise contextVisibility or transparency is more on all levels.Overview of Seven Core CompetenciesSAFe® 5 dwells on the Seven Core Competencies of the Lean Enterprise. These competencies combine two completely new competencies (Organizational Agility and Continuous Learning Culture). Several subsequent competencies contribute to knowledge, skills, and behaviors, enabling enterprises to deliver business agility:The Lean-Agile Leadership competency describes how Lean-Agile Leaders motivate and promote organizational change by empowering individuals and teams to reach their maximum potential.The Continuous Learning Culture competency outlines a set of values and practices that continuously encourage individuals and the enterprise to enhance knowledge, proficiency, performance, and innovation constantly.  The Team and Technical Agility competency describes essential talents and Lean-Agile principles and practices that high-performing Agile teams use to produce high-quality resolutions for their customers.  The Agile Product Delivery competency is a customer-centric way to define, build, and deliver a constant flow of necessary products and services to consumers and users.  The Enterprise Solution Delivery competency outlines how to implement Lean-Agile principles and practices to the specification, developing the world’s most comprehensive and sophisticated software applications, networks, and cyber-physical systems.  The Lean Portfolio Management competency alters plan and execution by implementing Lean thinking methods to strategize Agile portfolio operations and governance.  The Organizational Agility competency defines how Lean-thinking people and Agile teams optimize their business methods, form a strategy with specific new commitments, and immediately have the organization capitalize on new opportunities.SAFe® ConfigurationsSAFe® supports four development environment configurations.Essential SAFe®The Essential SAFe® configuration is the fundamental building block for all SAFe® arrangements and is the most straightforward starting point for implementation. This competency builds on the policies and practices found in the Lean-Agile Leadership, Team and Technical Agility, and the Agile Product Delivery competencies. SAFe is anchored by an organizational structure called the Agile Release Train (ART), where Agile teams and critical stakeholders are dedicated to a meaningful, ongoing solution mission.Large Solution SAFe®The Large Solution SAFe®  configuration includes the Enterprise Solution Delivery competency, which encourages building the largest and most complex solutions that demand various ARTs and Suppliers but do not require portfolio-level considerations. Such solution development is typical for aerospace and defence, automotive, and government industries, where the large solution—not portfolio governance—is the primary concern. The Solution Train organizational construct supports enterprises with the most notable challenges—building large-scale, multidisciplinary software, hardware, cyber-physical, and complex IT systems. Developing these solutions requires different roles, artifacts, events, and coordination.Portfolio SAFe®The Portfolio SAFe®  configuration is the most miniature set of competencies and methods that can ultimately enable business agility, as intimated by the blue ‘Business Agility’ bar at the top. This bar also incorporates a link to Measure & Grow for guidance on managing SAFe®  business agility assessments. Portfolio SAFe®  contains two additional competencies, Organizational Agility and Lean Portfolio Management, exceeding the three core competencies of Essential SAFe®. Lean Portfolio Management adjusts portfolio execution to enterprise strategy and organizes development around the flow of value through one or more value streams. Organization Agility extends Lean thinking and practice throughout the enterprise and enables strategy agility. Continuous Learning Culture describes how everyone in the organization learns together, relentlessly improves, and builds innovation into the culture. In addition to the competencies, Portfolio SAFe®  provides principles and practices for portfolio strategy and investment funding, Agile portfolio operations, and Lean governance.Full SAFe®Full SAFe®  is the most extensive configuration, including all seven core competencies needed for business agility. The world’s most extensive enterprises typically use it to maintain portfolios of large and complex solutions.SAFe®  Lean-Agile PrinciplesSAFe®  has ten permanent, underlying Lean-Agile principles. These systems inform the roles and practices of SAFe®.Take an economic viewAddressing the most high-grade value and quality for people and society in the shortest sustainable lead-time requires a fundamental understanding of building systems' economics. The SAFe®  framework highlights the trade-offs between risk, Cost of Delay (CoD), manufacturing, operational, and development costs. Moreover, every development value stream must operate within the context of an approved budget and be compliant with the guardrails which support decentralized decision-making.Apply systems thinkingThe workplace challenges and the marketplace demands knowledge of the systems within which workers and users work. Such systems are complicated, and they consist of many interrelated segments. To update, everyone must understand the broader aim of the system.  In SAFe®, systems thinking supports the development of the organization that builds the system.Assume variabilityTraditional design and life cycle practices assist in choosing an individual design-and-requirements option early in the development process. If the starting point proves to be the incorrect choice, then future arrangements take amazingly long and lead to a suboptimal design. A more dependable path is to manage multiple requirements, and empirical data is assumed to narrow the focus, resulting in a format that generates optimum economic results.Build incrementally with fast, integrated learning cyclesDeveloping solutions incrementally in a series of small iterations allow for more immediate customer feedback and mitigates risk. Subsequent increments build on the previous ones. Since the 'system always runs,' some increments may serve as prototypes for market testing and validation; others become minimum viable products (MVPs). Still, others extend the system to new and valuable functionality.  This early feedback helps determine when to change to an alternate action course.Base milestones on an objective evaluation of working systemsBusiness owners, developers, and customers have a distributed responsibility to guarantee that investment in the latest solutions will benefit economically. The sequential, phase-gate development model meets this challenge, but experience proves that it does not decrease risk as expected. In Lean-Agile development, integration features provide objective milestones to evaluate the solution during the development life cycle. Regular evaluation offers financial, technical, and fitness-for-purpose governance to ensure that a progressive investment will deliver a proportionate return.Visualize and limit WIP, reduce batch sizes, and manage queue lengthsLean enterprises endeavour to accomplish a state of continuous movement, where new system inclinations move swiftly and visibly from concept to cash.Keys to implementing flow are  Envision and restrict the quantity of work in process (WIP).  Overcome the batch sizes of work to expedite fast and more stable flow.  Manage queue lengths to decrease the delay periods for new functionality.Apply cadence, synchronize with cross-domain planningCadence creates predictability and executes a rhythm for development. Synchronization induces varied viewpoints to be understood, solved and integrated at the same time. Implementing development cadence and synchronization, joined with periodic cross-domain planning, provides the mechanisms required to function efficiently in the proximity of the inherent development ambiguity.Unlock the intrinsic motivation of knowledge workersLean-Agile leaders recognize that creativity, innovation, and employee commitment are not generally triggered by individual incentive compensation. Such personal causes can create internal competition and destroy the cooperation necessary to achieve the system's larger aim. Implementing autonomy and purpose, reducing constraints, generating an environment of mutual influence, and better understanding compensation's role is key to higher employee engagement levels. This procedure yields more desirable outcomes for people, customers, and the organization.Decentralize decision-makingObtaining quick value delivery necessitates decentralized decision-making. This subdues delays, increases product development flow, allows more instantaneous feedback, and generates more innovative solutions devised by those closest to the local knowledge. However, some choices are essential, global, and have economies of scale that justify centralized decision-making. Since both types of decisions occur, producing a solid decision-making framework is critical in guaranteeing a quick flow of value.Organize around valueMany organizations today revolve around principles developed during the last century. In the digital age, the only sustainable aggressive advantage is the pace with which an organization can respond to its customers' needs with new and innovative solutions. Business Agility demands that enterprises build around value to deliver more quickly. And when market and customer desires change, the enterprise must seamlessly and quickly reorganize around that new value flow.Choosing the Best Suited Agile frameworkThere are numerous Agile frameworks like Scrum, Kanban, XP, Crystal, FDD, etc., to contemplate businesses with various teams working on an identical product. But often, the most excellent solution is one that compounds best practices from varied scaling frameworks. The truth is, organizational leaders must approach Agile as a process that is tailored to fit the needs rather than a dormant solution.SAFe®  vs. Scrum@ScaleThe Scaled Agile FrameworkThe Scaled Agile Framework (SAFe® ) is the most successful and popular framework for scaling Scrum in big organizations. It is essential to note that SAFe®  is intended to accommodate DevOps, a process frequently deemed for future-proof Agile organizations.SAFe®  is a method that describes a highly structured framework to embrace and engage an Agile value stream in an enterprise setting. It is most desirable for large organizations to retain as much organizational and process structure as possible while reaping the advantages of a decentralized Agile method. SAFe®  is not as efficiently customizable as Scrum at Scale, so an in-depth interpretation of value creation processes is essential for planning an Agile transition process using this framework.Scrum@ScaleScrum at Scale, created by Dr. Jeff Sutherland and Alex Brown, is the newest addition to Agile scaling frameworks and was publicly launched at Agile 2014 in Orlando. Hence, it is relatively untested and undocumented compared to SAFe®, making it less suitable for extensive enterprise adoption. To be specific, it's a modular method to scaling the well-known Scrum framework.  Scrum at Scale can support scaling the framework. It is a manageable solution for organizations of all sizes. Scrum@Scale is a working model and skeleton within which Scrum teams’ networks work consistently with the Scrum Guide and can approach complicated large-scale problems and productively deliver products of high value. Scrum@Scale extends the core Scrum framework to deliver hyper-productive results across organizations.  The Scrum@Scale structure is easily manageable but hard to master. It is made up of 2 cycles, the Scrum Master cycle and Product Owner cycle, and 12 components necessary to execute Scrum at scale.SAFe®  vs. Large-Scale Scrum (LeSS)Scaled Agile FrameworkSAFe®  performs flawlessly in organizations with several hundred teams. Hence, it’s an exceptional framework for big companies. It provides these businesses with a highly reliable method for outlining, performance, and delivery through Agile Release Trains.    ARTs work on a steady flow of Program Increments lasting from eight to 12 weeks. Each Increment starts with a cross-functional team devising sessions to recognize what they’ll present, and this helps to identify and address cross-team dependencies and possible hindrances.Benefits of SAFe®Assists in resolving problems on business aspects, which other Agile frameworks fail to address  Teams perform at the highest value in the least amount of time    Synchronization across multiple teams reduces scaling issues  Outstanding assistance through educational training courses and role-based certifications  SAFe®  separates business strategies into actions, then features, then stories of work at the team level, and maps the pathway.Drawbacks of SAFe®The implementation pathway is required to be tweaked to meet the requirements of your organization. Association with economic-driven Lean development would demonstrate challenges from a cultural aspect.SAFe®  is a comprehensive solution that discusses not only team agility but also portfolio and business agility. Therefore, it is an excellent option for firms to achieve total enterprise agility with a highly disciplined approach to deliverables.Large Scale Scrum (LeSS)LeSS is the large-scale implementation of essential principles and elements of Scrum beyond cross-cultural teams. A necessary characteristic of LeSS comprises redirecting team awareness over the entire organization. However, fulfilling this can prove to be the principal impediment to scaling.    LeSS consists of a couple of frameworks:    Including eight teams    It also estimates for more than eight teams. Both frameworks are reliant profoundly upon the Product Owner.  LeSS Huge includes Product Owners that operate amidst their smaller areas. For leaders who follow Lean Economics, LeSS can be more effective due to its importance on systems thinking, doing more with LeSS, and queuing theory.Benefits of LeSSComfortable and flexible due to its Scrum origins    Sets more strain on system-wide thinking    Parks more Locus on a product preferably than a project    Massively reliant on a single Product Owner and backlogLimitations of LeSSScaling only works for an organization which has an extensive Scrum foundation    LeSS is formed around Scrum and is not a straightforward extension of other methodologies.    A single Product Owner may attempt to control multiple teamsChoose the Most Appropriate Agile framework.There are numerous assorted Agile frameworks to consider for organizations that have diverse teams operating on similar products. But often, to get the best results, the best practices from different scaling frameworks are merged. The truth is, organizational leaders must consider Agile as a process they tailor to suit their requirements rather than an inert solution. Hopefully, this SAFe®  vs LeSS comparison makes your decision-making process a little more comfortable.SAFe®  vs SpotifySpotify: a lightweight frameworkUnlike SAFe®, the Spotify model is not considered an extensive toolbox. The Spotify model contributes a relatively lightweight framework that stresses the necessity to generate many interactions to limit the silo side formed by teams.It would be essential to determine how every team must work in a standard way or have 100% freedom provided to the groups. Moreover, the Spotify model doesn’t deliver any solution to control the Portfolio like SAFe®. We could associate the Spotify model’s philosophy with Scrum, as it is a lightweight framework in which the teams would have to produce the details.SAFe®  a heavy frameworkSAFe®  extends a comprehensive and complete framework. Experts view it as a framework that is too detailed. So, the question that arises is: Is SAFe®  an agile framework? SAFe®  empowers to work, to coordinate, to train, to put in place its processes whether it suits the organization or not. It is hence a complete solution. Unlike the Spotify model, everything is already fixed, and only an expert can be expected to have the imagination to improve it.Challenges of scaling agile principles and practicesThe Scaled Agile Framework discusses the obstacles encountered when scaling agile beyond a single team.  SAFe®  supports collaboration, coordination, and delivery across a vast number of agile teams.This framework leverages three primary bodies of knowledge:Agile software methodological development  Lean product methodological development  System thinkingHurdles in Scaling AgileThere are several hurdles that an organization faces when it is required to scale agile principles and practices.Long term planning absence The development team implementing agile principles usually enhances/improves their product backlog to two to three iterations.  In huge organizations, the product marketing team would like to release the products in the market, and the teams would perform at a high-level roadmap of 12-18 months. They then cooperate on plans for three months of work.  The agile development teams would refine product backlog for 2-3 iterations and have detailed task plans ready, and often new changes are limited to the subsequent iterations.Lack of agile practicesThe agile development teams operate within the framework to help determine how to be elegant, but work is deficient for agile methods at the management level. The cross-functional units that can manage complicated levels of accountability and planning are missing.Delegated authority handlingIn the Scrum framework, the Product Owner accepts the product life cycle’s charge accompanied by investment return.  The Product Owner is fully accountable for the completion/ performance of the product. On a large scale, there is a requirement to have a view of multiple team backlogs. A Product Manager is usually accountable for controlling multiple team backlogs. There is still a barrier as the Product Owner is separated from the development of the organization.Lack of synchronizationAgile frameworks provide freedom to development teams to create their ways of work. There are hundreds of development teams at a large scale, and it proves to be a hurdle for the teams to be entirely self-organized.  The self-organized teams operating on identical products will face a challenge to synchronize their deliverables and deliver them together.Absence of InnovationWith large organizations working in agile, a need arises for an additional iteration after a release that improves their practices. This assists in planning for the next planning increment.  A large-scale agile model also requires testing everything that is operating concurrently till the end.  SAFe®  is a framework that helps organizations to handle the barriers they face while scaling agile and lean. To use the Scaled Agile Framework effectively, it is essential to know and understand its principles.ConclusionSAFe®  5.0 brings the necessary changes required for organizations to grow and not lose their core focus, i.e. customers. Companies can now create value streams for their overall growth with business agility rather than each department individually.The two new core competencies will allow the organizations to create a learning culture to promote constant improvement in innovative solutions, performance, and growth and change or adapt strategies according to the change in market trends. Overall, SAFe®  5.0 brings the main focus back into the picture without losing it in the hierarchical structure of organizations.Frameworks like SAFe®  provide a viable option for helping businesses achieve their business outcomes: Jira, an enterprise agile planning platform, is built for SAFe®. Jira can improve visibility, strategic alignment, and enterprise adaptability to accelerate your digital transformation.
SAFe vs Agile frameworks: Scrum Scale vs LeSS vs Spotify
KnowledgeHut

SAFe vs Agile frameworks: Scrum Scale vs LeSS vs Spotify

The new updates to SAFe® 5.0 are a significant step in the right direction, as organizations look to promote agility across the length and breadth of their business. With their latest version, Scaled Agile Inc. has emphasized customer-centricity, expanded Agile thinking beyond technical teams, and highlighted the impact of enabling agility at the portfolio management level.The Scaled Agile Framework’s latest variant, SAFe®  5.0, was formally published on January 7, 2020. With a particular focus on business and organizational agility, SAFe® breaks out of the enterprise's technology and software sectors and embraces agility across all organization areas.  SAFe® has matured as a leading Agile -scaling framework, and it continuously enhances, consolidates the latest research, and responds to input and feedback from its customers and partners.Key Highlights of New SAFe® 5:An improved Big Picture better emphasizes flow and continuous deliveryImplementing SAFe®  to hardware development expedites the delivery of cyber-physical systemsNew direction around DevSecOps technical skills and tools better controls the constant delivery pipelineBroader demand for applying Lean-Agile approaches to business domains supports business agilityIntegrated participatory budgeting promotes a dynamic and collaborative method of allotting funds to value streamsPatterns and behaviours for planning teams and ARTs simplifies designing around valueWhy was an Update required?Global markets and the current pace of technological innovation have forced organizations to transform and compete. The current business models, organizational hierarchy, and technology infrastructure can't keep up with its needs to adapt. Agile product delivery isn't enough. It would help if you had business agility. What is business agility?Business agility allows us to develop opportunities by empowering us to make intelligent decisions, allocate money, and align the appropriate people to do the work. Business agility occurs when the entire organization uses Lean and Agile practices to continuously and proactively produce innovative business solutions quicker than the competition.With direction from SAFe® 5.0, it is easy to win in the digital age. But the framework by itself can’t organize the transformation; it requires teams and leaders to make it happen. When agility penetrates your organization, it can quickly adapt to new macro conditions in the industry. What is needed is to reconfigure groups and redeploy talent in response to changing business needs. In short: thrive in fast-moving markets.What is the Scaled Agile Framework® (SAFe®)?Scaled Agile Framework or SAFe® is a promptly available stream of information that helps practitioners achieve their goal to incorporate Agile practices at the organizational level. It provides a seamless lightweight experience for the entire software development team.There are three different segments of the SAfe® frameworkTeamProgramPortfolioSAFe® also consists of;A Design that satisfies the needs and requirements of each stakeholder associated with the projectLean and Agile principlesLoads of direction for work at Value Stream, program, team and the organization PortfolioWhy use SAFe®?Scaled Agile Framework is immensely lighter in weight and more straightforward than any of its competitors. And yet, it can take on the most complex and most significant value streams and handle the most complex system development being done in the market today.If implemented on an Agile Framework, the following are the advantages that your team, project, and the company can hold.Quality will grow by more than 50%Employee commitment and job satisfaction would increaseTimely delivery to market will get a boost up to 75%Productivity is enhanced by 50%.When Should We Use SAFe®?When implementing an agile approach consistently across more widespread, cross-cultural team programs and portfolios, the team is involved in implementing an elegant system.When teams are interested in working independentlyWhen you are attempting to scale Agile over your organization, but are grappling with regulating to achieve uniform or consistent approach beyond departments.Multiple teams trying Agile implementation but constantly facing hindrances, obstacles, and breakdownsScaling Agile across the organization but unsure what different roles may be required or what existing functions must changeAn organization wants to improve its product development lead time and understand how other organizations have achieved success in scaling Agile with SAFe®.Is the Scaled Agile Framework Different From Its Competitors in the Market?Different factors set it apart from every competitor in the market.It gives lightweight, reasonably verified results that are specific to the levelOffers valuable extensions to standard agile practicesIt gives a comprehensive understanding of software improvementOffers continuous or constant feedback on quality and refinementObtainable in a highly approachable and usable formIt is openly available and free to useIt regularly/repeatedly modifies/maintains the most regularly used agile practicesGrounds agile practices to an enterprise contextVisibility or transparency is more on all levels.Overview of Seven Core CompetenciesSAFe® 5 dwells on the Seven Core Competencies of the Lean Enterprise. These competencies combine two completely new competencies (Organizational Agility and Continuous Learning Culture). Several subsequent competencies contribute to knowledge, skills, and behaviors, enabling enterprises to deliver business agility:The Lean-Agile Leadership competency describes how Lean-Agile Leaders motivate and promote organizational change by empowering individuals and teams to reach their maximum potential.The Continuous Learning Culture competency outlines a set of values and practices that continuously encourage individuals and the enterprise to enhance knowledge, proficiency, performance, and innovation constantly.  The Team and Technical Agility competency describes essential talents and Lean-Agile principles and practices that high-performing Agile teams use to produce high-quality resolutions for their customers.  The Agile Product Delivery competency is a customer-centric way to define, build, and deliver a constant flow of necessary products and services to consumers and users.  The Enterprise Solution Delivery competency outlines how to implement Lean-Agile principles and practices to the specification, developing the world’s most comprehensive and sophisticated software applications, networks, and cyber-physical systems.  The Lean Portfolio Management competency alters plan and execution by implementing Lean thinking methods to strategize Agile portfolio operations and governance.  The Organizational Agility competency defines how Lean-thinking people and Agile teams optimize their business methods, form a strategy with specific new commitments, and immediately have the organization capitalize on new opportunities.SAFe® ConfigurationsSAFe® supports four development environment configurations.Essential SAFe®The Essential SAFe® configuration is the fundamental building block for all SAFe® arrangements and is the most straightforward starting point for implementation. This competency builds on the policies and practices found in the Lean-Agile Leadership, Team and Technical Agility, and the Agile Product Delivery competencies. SAFe is anchored by an organizational structure called the Agile Release Train (ART), where Agile teams and critical stakeholders are dedicated to a meaningful, ongoing solution mission.Large Solution SAFe®The Large Solution SAFe®  configuration includes the Enterprise Solution Delivery competency, which encourages building the largest and most complex solutions that demand various ARTs and Suppliers but do not require portfolio-level considerations. Such solution development is typical for aerospace and defence, automotive, and government industries, where the large solution—not portfolio governance—is the primary concern. The Solution Train organizational construct supports enterprises with the most notable challenges—building large-scale, multidisciplinary software, hardware, cyber-physical, and complex IT systems. Developing these solutions requires different roles, artifacts, events, and coordination.Portfolio SAFe®The Portfolio SAFe®  configuration is the most miniature set of competencies and methods that can ultimately enable business agility, as intimated by the blue ‘Business Agility’ bar at the top. This bar also incorporates a link to Measure & Grow for guidance on managing SAFe®  business agility assessments. Portfolio SAFe®  contains two additional competencies, Organizational Agility and Lean Portfolio Management, exceeding the three core competencies of Essential SAFe®. Lean Portfolio Management adjusts portfolio execution to enterprise strategy and organizes development around the flow of value through one or more value streams. Organization Agility extends Lean thinking and practice throughout the enterprise and enables strategy agility. Continuous Learning Culture describes how everyone in the organization learns together, relentlessly improves, and builds innovation into the culture. In addition to the competencies, Portfolio SAFe®  provides principles and practices for portfolio strategy and investment funding, Agile portfolio operations, and Lean governance.Full SAFe®Full SAFe®  is the most extensive configuration, including all seven core competencies needed for business agility. The world’s most extensive enterprises typically use it to maintain portfolios of large and complex solutions.SAFe®  Lean-Agile PrinciplesSAFe®  has ten permanent, underlying Lean-Agile principles. These systems inform the roles and practices of SAFe®.Take an economic viewAddressing the most high-grade value and quality for people and society in the shortest sustainable lead-time requires a fundamental understanding of building systems' economics. The SAFe®  framework highlights the trade-offs between risk, Cost of Delay (CoD), manufacturing, operational, and development costs. Moreover, every development value stream must operate within the context of an approved budget and be compliant with the guardrails which support decentralized decision-making.Apply systems thinkingThe workplace challenges and the marketplace demands knowledge of the systems within which workers and users work. Such systems are complicated, and they consist of many interrelated segments. To update, everyone must understand the broader aim of the system.  In SAFe®, systems thinking supports the development of the organization that builds the system.Assume variabilityTraditional design and life cycle practices assist in choosing an individual design-and-requirements option early in the development process. If the starting point proves to be the incorrect choice, then future arrangements take amazingly long and lead to a suboptimal design. A more dependable path is to manage multiple requirements, and empirical data is assumed to narrow the focus, resulting in a format that generates optimum economic results.Build incrementally with fast, integrated learning cyclesDeveloping solutions incrementally in a series of small iterations allow for more immediate customer feedback and mitigates risk. Subsequent increments build on the previous ones. Since the 'system always runs,' some increments may serve as prototypes for market testing and validation; others become minimum viable products (MVPs). Still, others extend the system to new and valuable functionality.  This early feedback helps determine when to change to an alternate action course.Base milestones on an objective evaluation of working systemsBusiness owners, developers, and customers have a distributed responsibility to guarantee that investment in the latest solutions will benefit economically. The sequential, phase-gate development model meets this challenge, but experience proves that it does not decrease risk as expected. In Lean-Agile development, integration features provide objective milestones to evaluate the solution during the development life cycle. Regular evaluation offers financial, technical, and fitness-for-purpose governance to ensure that a progressive investment will deliver a proportionate return.Visualize and limit WIP, reduce batch sizes, and manage queue lengthsLean enterprises endeavour to accomplish a state of continuous movement, where new system inclinations move swiftly and visibly from concept to cash.Keys to implementing flow are  Envision and restrict the quantity of work in process (WIP).  Overcome the batch sizes of work to expedite fast and more stable flow.  Manage queue lengths to decrease the delay periods for new functionality.Apply cadence, synchronize with cross-domain planningCadence creates predictability and executes a rhythm for development. Synchronization induces varied viewpoints to be understood, solved and integrated at the same time. Implementing development cadence and synchronization, joined with periodic cross-domain planning, provides the mechanisms required to function efficiently in the proximity of the inherent development ambiguity.Unlock the intrinsic motivation of knowledge workersLean-Agile leaders recognize that creativity, innovation, and employee commitment are not generally triggered by individual incentive compensation. Such personal causes can create internal competition and destroy the cooperation necessary to achieve the system's larger aim. Implementing autonomy and purpose, reducing constraints, generating an environment of mutual influence, and better understanding compensation's role is key to higher employee engagement levels. This procedure yields more desirable outcomes for people, customers, and the organization.Decentralize decision-makingObtaining quick value delivery necessitates decentralized decision-making. This subdues delays, increases product development flow, allows more instantaneous feedback, and generates more innovative solutions devised by those closest to the local knowledge. However, some choices are essential, global, and have economies of scale that justify centralized decision-making. Since both types of decisions occur, producing a solid decision-making framework is critical in guaranteeing a quick flow of value.Organize around valueMany organizations today revolve around principles developed during the last century. In the digital age, the only sustainable aggressive advantage is the pace with which an organization can respond to its customers' needs with new and innovative solutions. Business Agility demands that enterprises build around value to deliver more quickly. And when market and customer desires change, the enterprise must seamlessly and quickly reorganize around that new value flow.Choosing the Best Suited Agile frameworkThere are numerous Agile frameworks like Scrum, Kanban, XP, Crystal, FDD, etc., to contemplate businesses with various teams working on an identical product. But often, the most excellent solution is one that compounds best practices from varied scaling frameworks. The truth is, organizational leaders must approach Agile as a process that is tailored to fit the needs rather than a dormant solution.SAFe®  vs. Scrum@ScaleThe Scaled Agile FrameworkThe Scaled Agile Framework (SAFe® ) is the most successful and popular framework for scaling Scrum in big organizations. It is essential to note that SAFe®  is intended to accommodate DevOps, a process frequently deemed for future-proof Agile organizations.SAFe®  is a method that describes a highly structured framework to embrace and engage an Agile value stream in an enterprise setting. It is most desirable for large organizations to retain as much organizational and process structure as possible while reaping the advantages of a decentralized Agile method. SAFe®  is not as efficiently customizable as Scrum at Scale, so an in-depth interpretation of value creation processes is essential for planning an Agile transition process using this framework.Scrum@ScaleScrum at Scale, created by Dr. Jeff Sutherland and Alex Brown, is the newest addition to Agile scaling frameworks and was publicly launched at Agile 2014 in Orlando. Hence, it is relatively untested and undocumented compared to SAFe®, making it less suitable for extensive enterprise adoption. To be specific, it's a modular method to scaling the well-known Scrum framework.  Scrum at Scale can support scaling the framework. It is a manageable solution for organizations of all sizes. Scrum@Scale is a working model and skeleton within which Scrum teams’ networks work consistently with the Scrum Guide and can approach complicated large-scale problems and productively deliver products of high value. Scrum@Scale extends the core Scrum framework to deliver hyper-productive results across organizations.  The Scrum@Scale structure is easily manageable but hard to master. It is made up of 2 cycles, the Scrum Master cycle and Product Owner cycle, and 12 components necessary to execute Scrum at scale.SAFe®  vs. Large-Scale Scrum (LeSS)Scaled Agile FrameworkSAFe®  performs flawlessly in organizations with several hundred teams. Hence, it’s an exceptional framework for big companies. It provides these businesses with a highly reliable method for outlining, performance, and delivery through Agile Release Trains.    ARTs work on a steady flow of Program Increments lasting from eight to 12 weeks. Each Increment starts with a cross-functional team devising sessions to recognize what they’ll present, and this helps to identify and address cross-team dependencies and possible hindrances.Benefits of SAFe®Assists in resolving problems on business aspects, which other Agile frameworks fail to address  Teams perform at the highest value in the least amount of time    Synchronization across multiple teams reduces scaling issues  Outstanding assistance through educational training courses and role-based certifications  SAFe®  separates business strategies into actions, then features, then stories of work at the team level, and maps the pathway.Drawbacks of SAFe®The implementation pathway is required to be tweaked to meet the requirements of your organization. Association with economic-driven Lean development would demonstrate challenges from a cultural aspect.SAFe®  is a comprehensive solution that discusses not only team agility but also portfolio and business agility. Therefore, it is an excellent option for firms to achieve total enterprise agility with a highly disciplined approach to deliverables.Large Scale Scrum (LeSS)LeSS is the large-scale implementation of essential principles and elements of Scrum beyond cross-cultural teams. A necessary characteristic of LeSS comprises redirecting team awareness over the entire organization. However, fulfilling this can prove to be the principal impediment to scaling.    LeSS consists of a couple of frameworks:    Including eight teams    It also estimates for more than eight teams. Both frameworks are reliant profoundly upon the Product Owner.  LeSS Huge includes Product Owners that operate amidst their smaller areas. For leaders who follow Lean Economics, LeSS can be more effective due to its importance on systems thinking, doing more with LeSS, and queuing theory.Benefits of LeSSComfortable and flexible due to its Scrum origins    Sets more strain on system-wide thinking    Parks more Locus on a product preferably than a project    Massively reliant on a single Product Owner and backlogLimitations of LeSSScaling only works for an organization which has an extensive Scrum foundation    LeSS is formed around Scrum and is not a straightforward extension of other methodologies.    A single Product Owner may attempt to control multiple teamsChoose the Most Appropriate Agile framework.There are numerous assorted Agile frameworks to consider for organizations that have diverse teams operating on similar products. But often, to get the best results, the best practices from different scaling frameworks are merged. The truth is, organizational leaders must consider Agile as a process they tailor to suit their requirements rather than an inert solution. Hopefully, this SAFe®  vs LeSS comparison makes your decision-making process a little more comfortable.SAFe®  vs SpotifySpotify: a lightweight frameworkUnlike SAFe®, the Spotify model is not considered an extensive toolbox. The Spotify model contributes a relatively lightweight framework that stresses the necessity to generate many interactions to limit the silo side formed by teams.It would be essential to determine how every team must work in a standard way or have 100% freedom provided to the groups. Moreover, the Spotify model doesn’t deliver any solution to control the Portfolio like SAFe®. We could associate the Spotify model’s philosophy with Scrum, as it is a lightweight framework in which the teams would have to produce the details.SAFe®  a heavy frameworkSAFe®  extends a comprehensive and complete framework. Experts view it as a framework that is too detailed. So, the question that arises is: Is SAFe®  an agile framework? SAFe®  empowers to work, to coordinate, to train, to put in place its processes whether it suits the organization or not. It is hence a complete solution. Unlike the Spotify model, everything is already fixed, and only an expert can be expected to have the imagination to improve it.Challenges of scaling agile principles and practicesThe Scaled Agile Framework discusses the obstacles encountered when scaling agile beyond a single team.  SAFe®  supports collaboration, coordination, and delivery across a vast number of agile teams.This framework leverages three primary bodies of knowledge:Agile software methodological development  Lean product methodological development  System thinkingHurdles in Scaling AgileThere are several hurdles that an organization faces when it is required to scale agile principles and practices.Long term planning absence The development team implementing agile principles usually enhances/improves their product backlog to two to three iterations.  In huge organizations, the product marketing team would like to release the products in the market, and the teams would perform at a high-level roadmap of 12-18 months. They then cooperate on plans for three months of work.  The agile development teams would refine product backlog for 2-3 iterations and have detailed task plans ready, and often new changes are limited to the subsequent iterations.Lack of agile practicesThe agile development teams operate within the framework to help determine how to be elegant, but work is deficient for agile methods at the management level. The cross-functional units that can manage complicated levels of accountability and planning are missing.Delegated authority handlingIn the Scrum framework, the Product Owner accepts the product life cycle’s charge accompanied by investment return.  The Product Owner is fully accountable for the completion/ performance of the product. On a large scale, there is a requirement to have a view of multiple team backlogs. A Product Manager is usually accountable for controlling multiple team backlogs. There is still a barrier as the Product Owner is separated from the development of the organization.Lack of synchronizationAgile frameworks provide freedom to development teams to create their ways of work. There are hundreds of development teams at a large scale, and it proves to be a hurdle for the teams to be entirely self-organized.  The self-organized teams operating on identical products will face a challenge to synchronize their deliverables and deliver them together.Absence of InnovationWith large organizations working in agile, a need arises for an additional iteration after a release that improves their practices. This assists in planning for the next planning increment.  A large-scale agile model also requires testing everything that is operating concurrently till the end.  SAFe®  is a framework that helps organizations to handle the barriers they face while scaling agile and lean. To use the Scaled Agile Framework effectively, it is essential to know and understand its principles.ConclusionSAFe®  5.0 brings the necessary changes required for organizations to grow and not lose their core focus, i.e. customers. Companies can now create value streams for their overall growth with business agility rather than each department individually.The two new core competencies will allow the organizations to create a learning culture to promote constant improvement in innovative solutions, performance, and growth and change or adapt strategies according to the change in market trends. Overall, SAFe®  5.0 brings the main focus back into the picture without losing it in the hierarchical structure of organizations.Frameworks like SAFe®  provide a viable option for helping businesses achieve their business outcomes: Jira, an enterprise agile planning platform, is built for SAFe®. Jira can improve visibility, strategic alignment, and enterprise adaptability to accelerate your digital transformation.
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SAFe vs Agile frameworks: Scrum Scale vs LeSS vs S...

The new updates to SAFe® 5.0 are a significant st... Read More

Best Product Owner Certifications in 2021

The one person responsible for maximising the product value, representing the stakeholders, prioritizing the backlog, empowering the team, maintaining Agile and Scrum processes and defining the product vision—who is that one superstar on an Agile team who does all this? The Product Owner!Product Owner roles have seen a sharp rise in recent years. If you see yourself as a Product Owner, managing business and stakeholders, then it is prudent that you validate your skills with a Product Owner certification and set yourself up for career success.Product Owners with industry recognised credentials earn upwards of $105,845, significantly more than their peers who are not certified.Irrespective of whether you are a seasoned Product Owner or are just sinking your teeth into the world of Agile and Scrum, a credential in your toolkit will greatly enhance your career prospects. So, here’s a roundup of the most valued Product Owner certifications you can choose from and get ready for 2021.1. CSPO®2. A-CSPO®3. PSPO™4. PMI-ACP®5. SAFe® Product Owner Product Manager1. CSPOThe Certified Scrum Product Owner certification is an offering from Scrum Alliance. Among the most popular Product Owner certifications, this credential is a validation of your knowledge of Scrum, the scope of the Product Owner’s role and skill in maximizing value and the Scrum team’s work.CSPOs are in great demand across industries as they have the credibility to lead product development initiatives.Other benefits of the CSPO certification include:Training led by Scrum Alliance approved Certified Scrum Trainers® (CSTs)Get a 2-year membership with Scrum AllianceGain access to a number of local groups of Scrum users and social networksQualify for higher certifications such as the A-CSPO®Widen the scope of your career with the knowledge of popular Agile practices.Enhance your repertoire with in-demand Scrum skills and demonstrate your Scrum knowledge.Actively engage with the community of Agile practitioners dedicated to continuous Scrum practice and improvement.Create a better product by leading and implementing Scrum in the team.Define the product vision and direct team members to yield high value at the end.Ensure smooth communication between the stakeholders and team members.Earn higher salaries than your non-certified counterparts (USA: $105,845)Top companies hiring CSPO professionalsFidelity InvestmentsCapital One Financial CorpAmazon.comT-Mobile, IncAmerican ExpressSource: PayScaleWhere to take training for certificationThe training must be taken from a Certified Scrum Trainer (CST) or Registered Education Provider (REP) or a Certified Agile Coach of Scrum Alliance.Who should take the training for CSPO certification?This course can be taken by:Project Managers Developers Product Owners Managers-Software development Architects-Software development Product Managers Software developers Software testers Team leads/Team members interested in learning ScrumWho is eligible for the CSPO certification?There are no eligibility requirements for the CSPO certification.Duration to get CSPO certifiedAll participants need to attend the 2-day in-person or 14 hours live online CSPO training from a CST, at the end of which they will receive their credential. Course/Training fee for CSPO certificationThe course fee depends on the training provider and differs from region to region.In India: INR 24999  U.S: USD 1295Canada: CAD 1495Exam fee for CSPO certification: No exam needs to be taken in order to earn the CSPO credential. Attending a 2-day/14-hour course is mandated to earn the credential.Renewal fee for CSPO certification: $100, every 2 years2. A-CSPO℠The Advanced Certified Scrum Product Owner℠ (A-CSPO℠) credential is also offered by the Scrum Alliance, and as the name suggests is an advanced course to be pursued after gaining the CSPO. The A-CSPO validates your ability to manage multiple projects and stakeholders and deliver business value. A-CSPO being an advanced level certification is much sought after by organizations who want to hire professionals with advanced Product Owner abilities.Other benefits of the A-CSPO certification include:Training by Scrum Alliance approved Certified Scrum Trainers® (CSTs)2-year membership with Scrum AllianceAccess to a number of local groups of Scrum users and social networksGain enhanced Agile Scrum implementation skillsSet yourself apart from others in the marketplaceAs a highly trained Agile professional, show advanced value to your employerEarn high salaries - 111033 USD (average)Top industries hiring A-CSPO professionalsSAP LabsSalesforceAdobeWikispeedOracleVisteonGEBBCMicrosoftBarclaysRobert BoschWhere to take training for A-CSPO certification?The training must be led by a Certified Scrum Trainer (CST) and delivered by a Registered Education Provider (REP) or a Certified Agile Coach of Scrum Alliance.Who should take the training for A-CSPO certification?Professionals in the following job roles can take this course:Project ManagersDevelopersProduct OwnersManagers-Software developmentArchitects-Software developmentProduct ManagersSoftware developersSoftware testersTeam leads/Team members interested in learning ScrumWho is eligible for the A-CSPO certification?The A-CSPO requires the following eligibility:At least 12 months of work experience specific to the role of Product Owner (within the past five years) and an active CSPO credentialDuration to get A-CSPO certified: All participants need to attend the 2-day in-person or 14 hours live online A-CSPO training from a CST, at the end of which they will receive their credential.Course fee for A-CSPO certificationThe course fee depends on the training provider and differs from region to region.In India: INR 41999U.S.: Will be updated shortlyCanada: Will be updated shortlyExam fee for A-CSPO certification: No exam needs to be taken in order to earn the A-CSPO credential. Attending a 2-day/14-hour course along with the required experience is mandated to earn the credential.Renewal fee for A-CSPO certification: $175, every 2 years3. PSPO™Professional Scrum Product Owner™ Level I (PSPO™) is a credential offered by the Scrum.org. While the certification does not require you to take a training, an assessment needs to be cleared in order to get certified. The PSPO is a reflection of your ability to maximise skills, enhance product value and use Agile perspectives to deliver successful products.The PSPO is highly regarded in the industry as it is a rigorous exam and is based on the objectives outlined in the Scrum Guide.   Other benefits of the PSPO certification include:Own the product visionMaximize your team’s ROIImprove business value and ROIMotivate and lead Agile teams and team membersValidate your commitment to continued excellence and qualityDemonstrate your proficiency in ScrumGrow your career in Scrum with confidence Ace your interviews and get noticed for promotions at your current jobCommand higher salaries than your non-certified peersBe part of a network of industry leaders and Agile professionalsGain a stepping stone for the advanced level Professional Scrum Product Owner™ II Certification (PSPO™ II)Get the PSPO I logo that you can use to identify your achievementGet your name listed on Scrum.orgEarn salaries in the range of $98,612Top industries hiring PSPO professionalsJ.P. Morgan Chase & Co. (JPMCC)Cisco Systems IncImproving EnterprisesUnitedHealth GroupBank of America Corp. (BOFA)Source: PayScaleWhere to take training for the PSPO certification: Take the training from Scrum.org’s Professional Training Network under the guidance of certified Professional Scrum Trainers (PSTs).Who should take the training for PSPO certification?This course can be taken by:Project ManagersDevelopersProduct OwnersManagers-Software developmentArchitects-Software developmentProduct ManagersSoftware developersSoftware testersTeam leads/Team members interested in learning ScrumLeadership Team Who is eligible for the PSPO certification?There are no eligibility requirements for the PSPO certification.Duration to get certified: If you opt for training, you will have to attend two days or 16 hours of PSPO™ I training under a Professional Scrum Trainer (PST). You will then receive a key to the PSPO™ I Assessment. Once you pass the Assessment, you are declared PSPO™ I certified and can download your certificate.Course fee for PSPO certificationThe course fee depends on the training provider and differs from region to region.In India: INR 25999  U.S.: USD 1299Canada: CAD 1499Exam fee for PSPO: $200 USD per attemptPSPO Exam DetailsExam Type: Closed book,Format: Multiple Choice, Multiple Answer and True/FalseDifficulty: IntermediateLanguage: English onlyTime limit: 60 minutesNumber of Questions: 80Passing score: 85%Retake fee for PSPO Exam: $200 USD for each re-take attempt. Participants of Scrum.org classes get free retakes if they take and fail the assessment within a certain time frame. Renewal for PSPO certification: Your PSPO certification has a lifetime validity and does not require renewal4. PMI-ACP®The Project Management Institute (PMI)® a world-renowned body known for its flagship project management credentials, now offers professionals a chance to hone their agile skills with the PMI- Agile Certified Practitioner (PMI-ACP)® credential. Its mandatory requirement of real-world Agile expertise and a thorough knowledge of Agile practices, tools and techniques means that holders of the PMI-ACP are Agile experts in every sense of the word.The PMI-ACP has huge demand in Agile organizations as it gives holders a 360-degree view of Agile and adds huge value to the skill set of a product owner.Other benefits of the PMI-ACP certification include:Helps you qualify for Agile jobs with expertise in Agile methods like Scrum, FDD, Kanban, etc. which are in demand in the industryEquips you with knowledge of various Agile methodsMakes you marketable as it opens doors to many project development methodologiesGain soft skills to manage your role eloquently  Earn more than your non-certified peers ($109,556)Top industries hiring PMI-ACP professionalsBooz, Allen, and HamiltonAccentureInternational Business Machines (IBM) Corp.Usaa InsuranceAmazon.com IncSource: PayScaleWhere to take training for the PMI-ACP certification: The training must be taken from an Authorized Training Partner (ATP) of PMIWho should take the training for PMI-ACP certification?This course can be taken by:Project ManagersProject PlannersQuality Assurance StaffDevelopers/ProgrammersDesigners, TestersProject ControllersProduct OwnersScrum MastersScrum Team MembersWho is eligible for the PMI-ACP certification?The PMI-ACP requires the following eligibility:Secondary degree21 contact hours of training in agile practices12 months of general project experience within the last 5 years. A current PMP® or PgMP® will satisfy this requirement but is not required to apply for the PMI-ACP.8 months of agile project experience within the last 3 yearsDuration to get certified: Once you complete the required training you must take time out to vigorously prepare for the exam. You then need to set the date and give the 3-hour exam. Once you pass the exam you may refer to yourself as a certification holder although your certificate package can take six to eight weeks to arrive in the mail.Course fee for PMI-ACP certification:The course fee depends on the training provider and differs from region to region.In India: INR 25999  U.S.: USD 1299Canada: CAD 1499Exam fee for PMI-ACP: $435 (for members), $495 (for non-members)PMI-ACP Exam Details:Exam Type: Closed book Format: Multiple Choice Difficulty: Intermediate Time limit: 3 hours Number of Questions: 120 of which 20 are considered pre-test questions and do not affect the score. Passing score: 85%Renewal for PMI-ACP certification: To maintain your PMI-ACP, you must earn 30 professional development units (PDUs) in agile topics every three years.5. Certified SAFe® Product Owner / Product Manager (SAFe® POPM)If scaling Scrum is your forte, then this is the right credential for you. This credential, an offering from the Scaled Agile, Inc., validates your product owner skills in delivering value by applying the principles of Lean to ensure Agile success at the enterprise scale, improving the Agile Release Train and ensuring customer satisfaction while improving bottom line margins.Considering that the Scaled Agile Framework is widely used in Agile organizations, there is a huge demand for SAFe POPM certified professionals, who can deliver continuous value at the enterprise level.Other benefits of the SAFe POPM certification include:Master key SAFe® product ownership/product management concepts like Lean Agile principles and valuesCollaborate with Agile teams to deliver valueMaster Program Increment PlanningOne-year membership to the SAFe Community PlatformOpen yourself upto new opportunitiesSAFe Product Owner/Product Manager (SPOPM) salary ranges from $83,865 to $124,613Access to Meetup groups and events that connect you with other Certified SAFe ProfessionalsTop industries hiring SAFe POPM professionalsBoschLockheed MartinPepsiCoAnthemCiscoStandard CharteredCapitalOneThalesFitBit  AstraZenecaSource: PayScaleWhere to take training for the SAFe POPM certification: The training must be taken from an authorized training partner of Scaled Agile, Inc. Who should take the training for SAFe POPM certification?This course can be taken by:Program or Project ManagersScrum MastersRelease Train EngineersBusiness AnalystsAgile CoachesSAFe Program ConsultantsDevelopment ManagersCTOsConsultantsArchitectsEngineersDirectorsProduct ManagersProduct OwnersDelivery ManagersSolution Train EngineersSoftware DevelopersWho is eligible for the SAFe POPM certification?The SAFe POPM requires the following eligibility:Two-day training from an authorized training provider of Scaled Agile Inc. Experience in Lean and AgileDuration to get certified: Once you complete the mandatory 2-day training you can set a date to take the 1.5 hrs SAFe POPM exam. On passing the exam, you become a Certified SAFe® 5 Product Owner / Product Manager. You will receive your SAFe®️ 5 Product Owner / Product Manager PDF Certificate and Digital Badge within 5-7 working days.Course fee for SAFe POPM certificationThe course fee depends on the training provider and differs from region to region.In India: INR 55999  U.S.: USD 1099Canada: CAD 1395Exam fee for SAFe POPM: First exam attempt is included as part of the course registration fee if the exam is taken within 30 days of course completion.SAFe POPM Exam DetailsExam Type: Closed book Format: Multiple choice, multiple response Difficulty: Intermediate Time limit: 1.5 hours Number of Questions: 45 Passing score: POPM4 = 35 out of 45 (77%); POPM5 = 33 out of 45 (73%)Retake fee for SAFe POPM Exam: Each retake costs $50Renewal for SAFe POPM certification: SAFe POPM needs to be renewed each year by paying a $100 fee and earning a minimum of 10 continuing education/outreach hours (PDUs).SummaryProduct Owners are the rock stars of an Agile team—confident, articulate, sharp, great communicators and problem solvers! A solid Product Owner certification along with these qualities can give your career a total makeover and make you a team favourite. 
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Best Product Owner Certifications in 2021

The one person responsible for maximising the prod... Read More

Introduction to Principal Component Analysis (PCA) in Python

Python is no longer an unfamiliar word for professionals from the IT or Web Designing world. It’s one of the most widely used programming languages because of its versatility and ease of usage. It has a focus on object-oriented, as well as functional and aspect-oriented programming. Python extensions also add a whole new dimension to the functionality it supports. The main reasons for its popularity are its easy-to-read syntax and value for simplicity. The Python language can be used as a glue to connect components of existing programmes and provide a sense of modularity.Image SourceIntroducing Principal Component Analysis with Python  Principal Component Analysis definition   Principal Component Analysis is a method that is used to reduce the dimensionality of large amounts of data. It transforms many variables into a smaller set without sacrificing the information contained in the original set, thus reducing the dimensionality of the data.  PCA Python is often used in machine learning as it is easier for machine learning software to analyse and process smaller sets of data and variables. But this comes at a cost. Since a larger set of variables contends, it sacrifices accuracy for simplicity. It preserves as much information as possible while reducing the number of variables involved. The steps for Principal Component Analysis Python include Standardisation, that is, standardising the range of the initial variables so that they contribute equally to the analysis. It is to prevent variables with larger ranges from dominating over those with smaller ranges.  The next step involves complex matrix computation. It involves checking if there is any relationship between variables and shows if they contain redundant information or not. To identify this, the covariance matrix is computed. The next step is determining the principal components of the data. Principal Components are the new variables that are formed from the mixtures of the initial variables. The principal components are formed such that they're Uncorrelated, unlike the initial variables. They follow a descending order where the program tries to put as much information as possible in the first component, the remaining in the second, etc. It helps to discard components with low information and effectively reduces the number of variables. This comes at the cost of the principal components losing the meaning of the initial data. Further steps include computing the eigenvalues and discarding the figures with fewer eigenvalues, meaning that they have less significance. The remaining is a matrix of vectors that can be called the Feature Vector. It effectively reduces the dimensions since we take an eigenvalue. The last step involves reorienting the data obtained in the original axes to recast it along the axes formed by the principal components.Objectives of PCA  The objectives of Principal Component Analysis are the following:  Find and Reduce the dimensionality of a data set As shown above, Principal Component Analysis is a helpful procedure to reduce the dimensionality of a data set by lowering the number of variables to keep track of.  Identify New Variables Sometimes this process can help one identify new underlying pieces of information and find new variables for the data sets which were previously missed.  Remove needless Variables The process reduces the number of needless variables by eliminating those with very little significance or those that strongly correlate with other variables.Image SourceUses of PCA  The uses of Principal Component Analysis are wide and encompass many disciplines, for instance, statistics and geography with applications in image compression techniques etc. It is a huge component of compression technology for data and may be in video form, picture form, data sets and much more.  It also helps to improve the performance of algorithms as more features will increase their workload, but with Principal Component Analysis, the workload is reduced to a great degree. It helps to find correlating values since finding them manually in thousands of sets is almost impossible.  Overfitting is a phenomenon that occurs when there are too many variables in a set of data. Principal Component Analysis reduces overfitting, as the number of variables is now reduced. It is very difficult to carry out the visualisation of data when the number of dimensions being dealt with is too high. PCA alleviates this issue by reducing the number of dimensions, so visualisation is much more efficient, easier on the eyes and concise. We can potentially even use a 2D plot to represent the data after Principal Component Analysis. Applications of PCA  As discussed above, PCA has a wide range of utilities in image compression, facial recognition algorithms, usage in geography, finance sectors, machine learning, meteorological departments and more. It is also used in the medical sector to interpret and process Medical Data while testing medicines or analysis of spike-triggered covariance. The scope of applications of PCA implementation is really broad in the present day and age.  For example, in neuroscience, spike-triggered covariance analysis helps to identify the properties of a stimulus that causes a neutron to fire up. It also helps to identify individual neutrons using the action potential they emit. Since it is a dimension reduction technique, it helps to find a correlation in the activity of large ensembles of neutrons. This comes in special use during drug trials that deal with neuronal actions. Principal Axis Method  In the principal axis method, the assumption is that the common variance in communalities is less than one. The implementation of the method is carried out by replacing the main diagonal of the correlation matrix with the initial communality estimates. The initial matrix consisted of ones as per the PCA methodology. The principal components are now applied to this new and improved version of the correlation matrix.  PCA for Data Visualization Tools like Plotly allow us to visualise data with a lot of dimensions using the method of dimensional reduction and then applying it to a projection algorithm. In this specific example, a tool like Scikit-Learn can be used to load a data set and then the dimensionality reduction method can be applied to it. Scikit learn is a machine learning library. It has an arsenal of software and training machine learning algorithms along with evaluation and testing models. It works easily with NumPy and allows us to use the Principal Component Analysis Python and pandas library.  The PCA technique ranks the various data points based on relevance, combines correlated variables and helps to visualise them. Visualising only the Principal components in the representation helps make it more effective. For example, in a dataset containing 12 features, 3 represent more than 99% of the variance and thus can be represented in an effective manner.  The number of features can drastically affect its performance. Hence, reducing the amount of these features helps a lot to boost machine learning algorithms without a measurable decrease in the accuracy of results.PCA as dimensionality reduction  The process of reducing the number of input variables in models, for instance, various forms of predictive models, is called dimensionality reduction. The fewer input variables one has, the simpler the predictive model is. Simple often means better and can encapsulate the same things as a more complex model would. Complex models tend to have a lot of irrelevant representations. Dimensionality reduction leads to sleek and concise predictive models.  Principal Component Analysis is the most common technique used for this purpose. Its origin is in the field of linear algebra and is a crucial method in data projection. It can automatically perform dimensionality reduction and give out principal factors, which can be translated as a new input and make much more concise predictions instead of the previous high dimensionality input.In this process, the features are reconstructed; in essence, the original features don't exist. They are, however, constructed from the same overall data but are not directly compared to it, but they can still be used to train machine learning models just as effectively. PCA for visualisation: Hand-written digits  Handwritten digit recognition is a machine learning system's ability to identify digits written by hand, as on post, formal examinations and more. It's important in the field of exams where OMR sheets are often used. The system can recognise OMRs, but it also needs to recognise the student's information, besides the answers. In Python, a handwritten digit recognition system can be developed using moist Datasets. When handled with conventional PCA strategies of machine learning, these datasets can yield effective results in a practical scenario. It is really difficult to establish a reliable algorithm that can effectively identify handwritten digits in environments like the postal service, banks, handwritten data entry etc. PCA ensures an effective and reliable approach for this recognition.Choosing the number of components  One of the most important parts of Principal Component analysis is estimating the number of components needed to describe the data. It can be found by having a look at the cumulative explained variance ratio and taking it as a function of the number of components.  One of the rules is Kaiser's Stopping file, where one should choose all components with an eigenvalue of more than one. This means that variables that have a measurable effect are the only ones that get chosen.  We can also plot a graph of the component number along with eigenvalues. The trick is to stop including values when the slope becomes close to a straight line in shape.PCA as Noise Filtering  Principal Component Analysis has found a utility in the field of physics. It is used to filter noise from experimental electron energy loss (EELS) spectrum images. It, in general, is a method to remove noise from the data as the number of dimensions is reduced. The nuance is also reduced, and one only sees the variables which have the maximum effect on the situation. The principal component analysis method is used after the conventional demonising agents fail to remove some remnant noise in the data. Dynamic embedding technology is used to perform the principal component analysis. Then the eigenvalues of the various variables are compared, and the ones with low eigenvalues are removed as noise. The larger eigenvalues are used to reconstruct the speech data.  The very concept of principal component analysis lends itself to reducing noise in data, removing irrelevant variables and then reconstructing data which is simpler for the machine learning algorithms without missing the essence of the information input.  PCA to Speed-up Machine Learning Algorithms  The performance of a machine learning algorithm, as discussed above, is inversely proportional to the number of features input in it. Principal component analysis, by its very nature, allows one to drastically reduce the number of features of variables input, allows one to remove excess noise and reduces the dimensionality of the data set. This, in turn, means that there is a lot less strain on a machine learning algorithm, and it can produce near identical results with heightened efficiency. Apply Logistic Regression to the Transformed Data  Logistic regression can be used after a principal component analysis. The PCA is a dimensionality reduction, while the logical regression is the actual brains that make the predictions. It is derived from the logistic function, which has its roots in biology.  Measuring Model Performance After preparing the data for a machine learning model using PCA, the effectiveness or performance of the model doesn’t change drastically. This can be tested by several metrics such as testing true positives, negatives, and false positives and false negatives. The effectiveness is computed by plotting them on a specialised confusion matrix for the machine learning model. Timing of Fitting Logistic Regression after PCA  Principle component regression Python is the technique that can give predictions of the machine learning program after data prepared by the PCA process is added to the software as input. It more easily proceeds, and a reliable prediction is returned as the end product of logical regression and PCA. Implementation of PCA with Python scikit learn can be used with Python to implement a working PCA algorithm, enabling Principal Component Analysis in Python 720 as explained above as well. It is a working form of linear dimensionality reduction that uses singular value decomposition of a data set to put it into a lower dimension space. The input data is taken, and the variables with low eigenvalues can be discarded using Scikit learn to only include ones that matter- the ones with a high eigenvalue. Steps involved in the Principal Component Analysis Standardization of dataset. Calculation of covariance matrix. Complete the eigenvalues and eigenvectors for the covariance matrix. Sort eigenvalues and their corresponding eigenvectors. Determine, k eigenvalues and form a matrix of eigenvectors. Transform the original matrix. Conclusion  In conclusion, PCA is a method that has high possibilities in the field of science, art, physics, chemistry, as well as the fields of graphic image processing, social sciences and much more, as it is effectively a means to compress data without compromising on the value it gives. Only the variables that do not significantly affect the value are removed, and the correlated variables are consolidated.
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How To Clear CEH in First Attempt?

Cybercrime and hacking attacks are doubling year on year. Not just corporate giants and government entities, but even small scale companies and start-ups are afraid of being victims of cyber theft. Organizations may face major losses not just in their profits but also loss of reputation, data, and customers. Therefore, almost all organizations want to keep their data and privacy of their customers safe from cyber criminals. These organizations spend a fortune on implementing robust technology architecture and on hiring professionals who can identify loopholes in the cyber security systems and patch them up before hackers can get through. These professionals, known as ethical hackers or white hat hackers, can help organizations protect their assets (people, process, and technology) from cybercriminals.Why CEH? The exponential rise in data, and our dependence on virtual systems has also consequently raised attacks from cyber criminals and data breaches. This has made the role of the ethical hacker among the most important job roles in these times. There is a huge demand for cybersecurity experts in almost all types of businesses. To hire security experts, organizations have some basic or minimum benchmarks set. These security experts are expected to have a good understanding of security concepts, and knowledge of the latest tools, processes, and frameworks so that they can be one step ahead of cyber criminals and prevent data breach.  This is where certifications such as the CEH - Certified Ethical Hacker by EC-Council comes into play. The CEH is the most comprehensive program for ethical hackers as it covers the latest hacking trends and familiarises professionals with the technologies that will help prevent data breaches. This international accreditation is recognised world over, so no matter where you are, your skills and knowledge will be considered valid by all organizations, anywhere in the world. To defeat the hacker, you need to think like a hacker. This program is all about developing the hacker mindset but in an ethical way. Once you are ready to jump into this, passing the CEH exam is your 1st milestone in your career. In this article, we will learn how to become a certified ethical hacker in the very first attempt, for which hard work and dedication are highly recommended.  Preparation Steps We will discuss here the 5 steps to prepare for CEH certification.  1. Plan the training Once you decide to achieve the certification, you need a concrete plan for training as well as practice. Choose the best source for training. We highly recommend choosing offline classroom training if you are a student or novice in cybersecurity. Usually, you can complete training in 3-4 months or less.  The reason we recommend an offline course is that meeting other like-minded learners and professionals will help you  develop the ethical hacker mindset. You can get in touch with proper mentors, people with similar mind-sets and take advantage of group study which can reveal many unknown issues, incidents, and examples. Of course, this will cost you more but you can’t learn to swim without getting wet.2. Get your hands dirty – Practice! The plus point of the latest version of CEH v11 is that it is more focused,  practical based and scenario-based with the latest content that equips students with hands-on skills. Remember, security is all about practice and implementation rather than a bunch of documents and do’s and don’ts checklist. In the course of gaining the credential you will learn about methods and tools that you can use to protect the organization such as security implementations, testing, and monitoring. Just bookish knowledge won’t help there. We recommend that spending at least 2 hours daily practice apart from training will improve your skills dramatically.3. Study Guides  While we did mention above not to be bookish, books are a treasure trove of knowledge and even for clearing the CEH you must do a thorough read of the recommended books.  You can religiously follow study guides and clear your concept on every topic in a very descriptive manner. This will answer all your “What and Why” in terms of cybersecurity and ethical hacking. Of course, this is world-class content and therefore you will get exact definitions, descriptions, and diagrams for almost all topics. We recommend studying at least 1 hour daily to get clear on all topics during the training.  4. Study groups - Community Study groups will polish your knowledge and skills for CEH topics. There are many study groups you can join where you can resolve your queries, clear your doubts, take help to learn something, and help others too. This will help you to stay in the company of like-minded people and you will get to learn fast.  However, it is recommended not to share any personal/sensitive information. Beware of any unknown person who asks for sensitive information like your IP address, location, personal information, or anything apart from CEH courseware.   We recommend making a study group with the people you know who are also attempting the exam. You can take the help of your trainer or mentor to manage this group. Be active and participate in group activities like quizzes or group discussions. 5. Self-assessment Keep learning is the key element of CEH training. Brush up your knowledge for the exam perspective as that is your main goal to become certified. For this, you need to learn how to give the exam and what type of questions are asked. For a second, let’s imagine the scenario of a war. If a new trainee soldier having knowledge of arms and wearing his 15 kgs protective suit jumped into the warzone, do you think he can fight better and save the lives of others without having any practice? Probably not, because he is unaware of war scenarios, combat methods, and ways of attack and defense in real war zones where the situation is uncertain. The same concept applies to CEH exams. You may face a lot of weird-looking or twisted or tricky questions with confusing multiple answers. Therefore, once you are done with your CEH training and you have knowledge of all topics, you need to test it like a mock drill of the war zone.There are many sources available where you can practice the exam questions. This platform will help you to understand the methods to ace the exam questions, and complete them within the required timeframe. Here we are sharing some links to practice for your exams. ( Note: We do not promote any website or any platform here. These links are shared to help students find good options for studying.) CEH ASSESSMENT- EC-CouncilEC-Council® CEH™ Exam PrepCEH practice examApart from this, you can follow blogs, industry experts, and relevant videos for more understanding and guidance.Required soft skills Every job roles needs certain skills apart from the core skills needed to perform on the job. These include soft skills that will help you grow as an individual and as a professional.  Be Curious – Be hungry for knowledge and for learning new things and gaining new skills.   Be Enthusiastic - Be enthusiastic and motivated throughout your journey as a hacker and you will be rewarded.   Eliminate the distractions - Avoid time-wasting or non-productive activities during the training like spending time on online games or social media. About the exam After getting trained and completing your practice, it is time for the exam. The CEH exam is a 4 hour exam with 125 multiple choice questions. Check the below link for the exam blueprint to get an idea of the percentage ratio of each module during the CEH exam. Examination centres can be chosen based on your location. Keep your exam code with you. The exam organizers have a process to determine the difficulty rating of each question. For more information, you can check out the EC-Council website and get in touch with your training center.Conclusion So, start your journey on becoming a certified cyber security professional with the CEH course and credential. As with anything else, practice makes perfect and you will become better as an ethical hacker with practice. Work hard and you will definitely achieve your CEH certification at the very first attempt. 
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How To Clear CEH in First Attempt?

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Why Should You Start a Career in Machine Learning?

If you are even remotely interested in technology you would have heard of machine learning. In fact machine learning is now a buzzword and there are dozens of articles and research papers dedicated to it.  Machine learning is a technique which makes the machine learn from past experiences. Complex domain problems can be resolved quickly and efficiently using Machine Learning techniques.  We are living in an age where huge amounts of data are produced every second. This explosion of data has led to creation of machine learning models which can be used to analyse data and to benefit businesses.  This article tries to answer a few important concepts related to Machine Learning and informs you about the career path in this prestigious and important domain.What is Machine Learning?So, here’s your introduction to Machine Learning. This term was coined in the year 1997. “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at the tasks improves with the experiences.”, as defined in the book on ML written by Mitchell in 1997. The difference between a traditional programming and programming using Machine Learning is depicted here, the first Approach (a) is a traditional approach, and second approach (b) is a Machine Learning based approach.Machine Learning encompasses the techniques in AI which allow the system to learn automatically looking at the data available. While learning, the system tries to improve the experience without making any explicit efforts in programming. Any machine learning application follows the following steps broadly: Selecting the training datasetAs the definition indicates, machine learning algorithms require past experience, that is data, for learning. So, selection of appropriate data is the key for any machine learning application.Preparing the dataset by preprocessing the dataOnce the decision about the data is made, it needs to be prepared for use. Machine learning algorithms are very susceptible to the small changes in data. To get the right insights, data must be preprocessed which includes data cleaning and data transformation.  Exploring the basic statistics and properties of dataTo understand what the data wishes to convey, the data engineer or Machine Learning engineer needs to understand the properties of data in detail. These details are understood by studying the statistical properties of data. Visualization is an important process to understand the data in detail.Selecting the appropriate algorithm to apply on the datasetOnce the data is ready and understood in detail, then appropriate Machine Learning algorithms or models are selected. The choice of algorithm depends on characteristics of data as well as type of task to be performed on the data. The choice also depends on what kind of output is required from the data.Checking the performance and fine-tuning the parameters of the algorithmThe model or algorithm chosen is fine-tuned to get improved performance. If multiple models are applied, then they are weighed against the performance. The final algorithm is again fine-tuned to get appropriate output and performance.Why Pursue a Career in Machine Learning in 2021?A recent survey has estimated that the jobs in AI and ML have grown by more than 300%. Even before the pandemic struck, Machine Learning skills were in high demand and the demand is expected to increase two-fold in the near future.A career in machine learning gives you the opportunity to make significant contributions in AI, the future of technology. All the big and small businesses are adopting Machine Learning models to improve their bottom-line margins and return on investment.  The use of Machine Learning has gone beyond just technology and it is now used in diverse industries including healthcare, automobile, manufacturing, government and more. This has greatly enhanced the value of Machine Learning experts who can earn an average salary of $112,000.  Huge numbers of jobs are expected to be created in the coming years.  Here are a few reasons why one should pursue a career in Machine Learning:The global machine learning market is expected to touch $20.83B in 2024, according to Forbes.  We are living in a digital age and this explosion of data has made the use of machine learning models a necessity. Machine Learning is the only way to extract meaning out of data and businesses need Machine Learning engineers to analyze huge data and gain insights from them to improve their businesses.If you like numbers, if you like research, if you like to read and test and if you have a passion to analyse, then machine learning is the career for you. Learning the right tools and programming languages will help you use machine learning to provide appropriate solutions to complex problems, overcome challenges and grow the business.Machine Learning is a great career option for those interested in computer science and mathematics. They can come up with new Machine Learning algorithms and techniques to cater to the needs of various business domains.As explained above, a career in machine learning is both rewarding and lucrative. There are huge number of opportunities available if you have the right expertise and knowledge. On an average, Machine Learning engineers get higher salaries, than other software developers.Years of experience in the Machine Learning domain, helps you break into data scientist roles, which is not just among the hottest careers of our generation but also a highly respected and lucrative career. Right skills in the right business domain helps you progress and make a mark for yourself in your organization. For example, if you have expertise in pharmaceutical industries and experience working in Machine learning, then you may land job roles as a data scientist consultant in big pharmaceutical companies.Statistics on Machine learning growth and the industries that use ML  According to a research paper in AI Multiple (https://research.aimultiple.com/ml-stats/), the Machine Learning market will grow to 9 Billion USD by the end of 2022. There are various areas where Machine Learning models and solutions are getting deployed, and businesses see an overall increase of 44% investments in this area. North America is one of the leading regions in the adoption of Machine Learning followed by Asia.The Global Machine Learning market will grow by 42% which is evident from the following graph. Image sourceThere is a huge demand for Machine Learning modelling because of the large use of Cloud Based Applications and Services. The pandemic has changed the face of businesses, making them heavily dependent on Cloud and AI based services. Google, IBM, and Amazon are just some of the companies that have invested heavily in AI and Machine Learning based application development, to provide robust solutions for problems faced by small to large scale businesses. Machine Learning and Cloud based solutions are scalable and secure for all types of business.ML analyses and interprets data patterns, computing and developing algorithms for various business purposes.Advantages of Machine Learning courseNow that we have established the advantages of perusing a career in Machine Learning, let’s understand from where to start our machine learning journey. The best option would be to start with a Machine Learning course. There are various platforms which offer popular Machine Learning courses. One can always start with an online course which is both effective and safe in these COVID times.These courses start with an introduction to Machine Learning and then slowly help you to build your skills in the domain. Many courses even start with the basics of programming languages such as Python, which are important for building Machine Learning models. Courses from reputed institutions will hand hold you through the basics. Once the basics are clear, you may switch to an offline course and get the required certification.Online certifications have the same value as offline classes. They are a great way to clear your doubts and get personalized help to grow your knowledge. These courses can be completed along with your normal job or education, as most are self-paced and can be taken at a time of your convenience. There are plenty of online blogs and articles to aid you in completion of your certification.Machine Learning courses include many real time case studies which help you in understanding the basics and application aspects. Learning and applying are both important and are covered in good Machine Learning Courses. So, do your research and pick an online tutorial that is from a reputable institute.What Does the Career Path in Machine Learning Look Like?One can start their career in Machine Learning domain as a developer or application programmer. But the acquisition of the right skills and experience can lead you to various career paths. Following are some of the career options in Machine Learning (not an exhaustive list):Data ScientistA data scientist is a person with rich experience in a particular business field. A person who has a knowledge of domain as well as machine learning modelling is a data scientist. Data Scientists’ job is to study the data carefully and suggest accurate models to improve the business.AI and Machine Learning EngineerAn AI engineer is responsible for choosing the proper Machine Learning Algorithm based on natural language processing and neural network. They are responsible for applying it in AI applications like personalized advertising.  A Machine Learning Engineer is responsible for creating the appropriate models for improvement of the businessData EngineerA Data Engineer, as the name suggests, is responsible to collect data and make it ready for the application of Machine Learning models. Identification of the right data and making it ready for extraction of further insights is the main work of a data engineer.Business AnalystA person who studies the business and analyzes the data to get insights from it is a Business Analyst. He or she is responsible for extracting the insights from the data at hand.Business Intelligence (BI) DeveloperA BI developer uses Machine Learning and Data Analytics techniques to work on a large amount of data. Proper representation of data to suit business decisions, using the latest tools for creation of intuitive dashboards is the role of a BI developer.  Human Machine Interface learning engineerCreating tools using machine learning techniques to ease the human machine interaction or automate decisions, is the role of a Human Machine Interface learning engineer. This person helps in generating choices for users to ease their work.Natural Language Processing (NLP) engineer or developerAs the name suggests, this person develops various techniques to process Natural Language constructs. Building applications or systems using machine learning techniques to build Natural Language based applications is their main task. They create multilingual Chatbots for use in websites and other applications.Why are Machine Learning Roles so popular?As mentioned above, the market growth of AI and ML has increased tremendously over the past years. The Machine Learning Techniques are applied in every domain including marketing, sales, product recommendations, brand retention, creating advertising, understanding the sentiments of customer, security, banking and more. Machine learning algorithms are also used in emails to ease the users work. This says a lot, and proves that a career in Machine Learning is in high demand as all businesses are incorporating various machine learning techniques and are improving their business.One can harness this popularity by skilling up with Machine Learning skills. Machine Learning models are now being used by every company, irrespective of their size--small or big, to get insights on their data and use these insights to improve the business. As every company wishes to grow faster, they are deploying more machine learning engineers to get their work done on time. Also, the migration of businesses to Cloud services for better security and scalability, has increased their requirement for more Machine Learning algorithms and models to cater to their needs.Introducing the Machine learning techniques and solutions has brought huge returns for businesses.  Machine Learning solution providers like Google, IBM, Microsoft etc. are investing in human resources for development of Machine Learning models and algorithms. The tools developed by them are popularly used by businesses to get early returns. It has been observed that there is significant increase in patents in Machine Learning domains since the past few years, indicating the quantum of work happening in this domain.Machine Learning SkillsLet’s visit a few important skills one must acquire to work in the domain of Machine Learning.Programming languagesKnowledge of programming is very important for a career in Machine Learning. Languages like Python and R are popularly used to develop applications using Machine Learning models and algorithms. Python, being the simplest and most flexible language, is very popular for AI and Machine Learning applications. These languages provide rich support of libraries for implementation of Machine Learning Algorithms. A person who is good in programming can work very efficiently in this domain.Mathematics and StatisticsThe base for Machine Learning is mathematics and statistics. Statistics applied to data help in understanding it in micro detail. Many machine learning models are based on the probability theory and require knowledge of linear algebra, transformations etc. A good understanding of statistics and probability increases the early adoption to Machine Learning domain.Analytical toolsA plethora of analytical tools are available where machine learning models are already implemented and made available for use. Also, these tools are very good for visualization purposes. Tools like IBM Cognos, PowerBI, Tableue etc are important to pursue a career as a  Machine Learning engineer.Machine Learning Algorithms and librariesTo become a master in this domain, one must master the libraries which are provided with various programming languages. The basic understanding of how machine learning algorithms work and are implemented is crucial.Data Modelling for Machine Learning based systemsData lies at the core of any Machine Learning application. So, modelling the data to suit the application of Machine Learning algorithms is an important task. Data modelling experts are the heart of development teams that develop machine learning based systems. SQL based solutions like Oracle, SQL Server, and NoSQL solutions are important for modelling data required for Machine Learning applications. MongoDB, DynamoDB, Riak are some important NOSQL based solutions available to process unstructured data for Machine Learning applications.Other than these skills, there are two other skills that may prove to be beneficial for those planning on a career in the Machine Learning domain:Natural Language processing techniquesFor E-commerce sites, customer feedback is very important and crucial in determining the roadmap of future products. Many customers give reviews for the products that they have used or give suggestions for improvement. These feedbacks and opinions are analyzed to gain more insights about the customers buying habits as well as about the products. This is part of natural language processing using Machine Learning. The likes of Google, Facebook, Twitter are developing machine learning algorithms for Natural Language Processing and are constantly working on improving their solutions. Knowledge of basics of Natural Language Processing techniques and libraries is must in the domain of Machine Learning.Image ProcessingKnowledge of Image and Video processing is very crucial when a solution is required to be developed in the area of security, weather forecasting, crop prediction etc. Machine Learning based solutions are very effective in these domains. Tools like Matlab, Octave, OpenCV are some important tools available to develop Machine Learning based solutions which require image or video processing.ConclusionMachine Learning is a technique to automate the tasks based on past experiences. This is among the most lucrative career choices right now and will continue to remain so in the future. Job opportunities are increasing day by day in this domain. Acquiring the right skills by opting for a proper Machine Learning course is important to grow in this domain. You can have an impressive career trajectory as a machine learning expert, provided you have the right skills and expertise.
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Why Should You Start a Career in Machine Learning?

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Everything You Need To Know About Angular 12.0.0 Release

Angular is a product of the most renowned Google TypeScript based framework, dedicated to developers for building web applications for smartphones and desktops. Over the years, the Angular framework has shown significant growth and is now a favourite tool among developers. The popularity of Angular can be attributed to the fact that it has been reliable and offers unmatchable features which are easy to use, when compared to its competitors, since its official launch.The popularity and increasing demand for the Angular framework are scaling new heights. From its first release to date, the Angular framework has attracted developers and has been marked as the favourite of over twenty-six percent (26%) of web developers worldwide. Angular provides unmatchable features that make it the most preferred framework in the Web Development industry today.   The frequent updates by the Angular team are just another reason to fall in love with this most versatile and robust framework. With every subsequent update, the Angular team brings in new features, extended capabilities, and functionalities that make the user experience effortless and web development enjoyable.   Glad tidings for Angular developers! Angular 12 tries to improve on fixing bug issues in the previous versions that were raised by the Angular community. Finally, the wait is over! The Angular version 12.0.0 release has come up again with the most compelling features and customization options to take your development journey to a new horizon. The new release of the Angular 12.0.0 version brings updates on the framework, the CLI, and components. What’s new in this update? The Angular team has been releasing major features in their upgrades, while ensuring that the number of backward compatibility issues is kept at a minimum and making sure that updating to the new version is easy. We have seen significant improvements in these areas of built times, testing, built-size, and development tooling. Before the release of Angular on the 21st of April, 2021 there were 10 beta versions of the same.  Updates in Angular 12 include the following: For the language service, they have added a command to add a template file. Making minified UMDs essential. Redirected Source files. Component style resources. Introduction of a context option.  New migration that casts the value of fragment nullable. DOM elements are correctly removed when the root vies have been removed. Improved performance since unused methods have been removed from DomAdapter. Legacy-Migrate. Strict Null checks. App-initializer has been changed. Support has been added for disabling animations.  Angular 12 can disable animations through BrowserAnimationsModulewithconfig. Addition of the emit event option. More fine-tuned controls in routerLinkActiveOptions. Custom router outlet implementations are permitted. Support for type screen updated. Implementing the append all() method on Httpsparams. Minimum and maximum validators are introduced. Exporting a list of HTTP status codes. New Feature in Angular Service. Patch adding the API to retrieve the template type check block. NOTE: Several bug fixes have also been highlighted, affecting the compiler, compiler-CLI, Bazel-built tool, and the router. Let’s have a look at the unique and unparalleled features in Angular 12.0.0:  1. Better developer ergonomics with strict typing for @Angular/forms. The Angular team has focused on enforcing secure and strict methods of checking for reactive forms. The new update will help developers to look out for issues in the development stage. This upgrade will also enable better text editor and ide support allowing the developer better developer ergonomics with strict typing for Angular/forms. The previous versions were not as aggressive in addressing this issue, but Angular 12 does it perfectly. 2. Removing legacy View Engine. When the transition to Ivy of all internal tooling gets done, removing the legacy View engine becomes the next challenge. No worries! The newly added removing legacy View Engine aims to reduce framework overheads. This is because of smaller Angular conceptual overhead, smaller package size, saving on maintenance cost, and decrease in the complexity of the codebase. With the knowledge of Ivy, it's the best path to take while using the latest version of Angular. An application that has upgraded to the latest version of Angular (Angular 12.0) and is keeping enable Ivy as false, should consider this since in the future they cannot upgrade to the latest version if they don't start using Ivy. 3. Leverage full framework capabilities.  Design and implement a plan to make Zone.js optional. This will, in turn, simplify the framework, improve debugging, and minimize application bundle size.Zone.js does not support native async/await syntax and when Zone.js is optional and a developer can choose not to use it then Angular will be able to support native async/ await syntax. 4. Improving test time, debugging, and test time environment. Testbed automatic clean-up and tear down of the test environment after each test run, will improve test time and create better isolation across tests. 5. Easier Angular mental model with optional modules. This will simplify the Angular mental model and learning. This will allow the developers to develop standalone components and implement other types of APIs for the declaration of the component compilation scope. On the other hand, we have to note that this change might make it hard for existing applications to migrate to this. This feature will allow developers to have more control over the compilation scope for a particular component without giving much thought to the NgModule they belong to. 6. Adding Directives to Host Elements. Adding directives to host elements has been on high request by Angular developers for a long time. The new release allows developers to architecture their components with additional characteristics without using inheritance. At the moment you cannot add directives to host elements, but you can improvise using: host CSS selector. As the selector of these components also becomes a DOM element, we could have more possibilities if we could add more directives to this element too.7. Better Build performance with NGC as TypeScript plugin distribution.The Angular compiler being distributed as a TypeScript plugin will significantly improve the developer's build performance and reduce the cost. 8. Ergonomic Component level code-splitting APIs. The slow initial load time is the major problem with web applications. Applying more granular code-splitting on a component level can solve this problem. This will mean smaller builds and faster launch time and in return result in improved FCP.  That's all for the new release. Now, let us take a look at the possibilities that are in progress and will be available shortly. Inlining critical styles in universal applications. Firstly, this will result in faster applications. Loading external stylesheets is a blocking operation. This means that the browser cannot initiate rendering an application without first loading all the referenced CSS. Its FCP (First Contentful Paint) can be improved by having a render-blocking in the header of a page that can visibly improve the load performance. Angular language service to Ivy. To date, the Angular language service still uses the View Engine compiler and type checking even for Ivy applications. The goal is to improve the experience and to remove the legacy dependency. This will be achieved by transitioning from View Engine to Ivy. The team at Angular wants to start using the Ivy template parser and improved type checking for the Angular language service to match Angular application behaviour. This will simplify Angular, npm size reduction, and improve the framework’s maintainability. Debugging with better angular error messages. The error messages bring limited information on how a developer can take actions to resolve them. The Angular team is working on codes, developing guides, and other measures to ensure an easy debugging experience and make error messages more discoverable. Better security with native Trusted Types in Angular. In conjunction with the Google security team, the Angular team is working on adding support for the new Trusted Type API. This API will aid developers to make more secure web applications. Optimized build speed and bundle size.With Angular, the CLI Webpack 5 stability will continue urging for the implementation to enable build speed and bundle size improvements. Advanced Angular Material Components. Integrating MDC weblink will align Angular Material closely with the material design specification, expand the accessibility reach, improve component quality and improve the overall team velocity. Faster debugging and performance profiling. The team at Angular could focus its attention on working on tooling that will help in the provision of utilities for debugging and performance profiling. The primary aim is to help the developers understand the component structure and the means to note changes in the angular application. NOTE: MDC web is a library created by the Google Material Design team that provides reusable primitives for building material design components. Conclusion.   In this article, we have looked at the Angular 12.0.0 version that released on 21 April 2021, the predecessor of which was Angular 11. We have tackled all the new features and provided an in-depth explanation of the same. We have taken a look at the trajectory of the Agular team whilst discussing the possibilities of new features to come in future versions of this product.  Angular is becoming more robust, and the applications created on this platform are getting more performant with every new update of the product. The framework is the future of this product, and this does not mean they are all necessarily in version 12.0.0. There are more points to be added to this list for internal improvements, such as work on the Angular team performance, dashboard, and so forth. Angular developers may be looking out for more advanced features like those present in Ivy-based language service. Perhaps those are slated for the next release! Attention Coders: If you want to know more about Angular version 12 and plans for the framework, you can visit their website
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Everything You Need To Know About Angular 12.0.0 R...

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