Every organization, right from startups to Fortune 500 companies are working tirelessly to collect data that is generated every day so they can use it to study trends and generate profits. Big and small data is rephrasing businesses and technology.
The state of Machine Learning in companies in Austin and in your daily life
Tech users have been using machine learning for years now. Functions like the surge prices on Uber, social media feeds for Facebook and Instagram, and even the detection of financial fraud can now be done using powerful algorithms associated with Machine Learning, with limited human interference.
Everyone uses one or the other product of Machine Learning with or without their knowledge. That is why it is important for professionals, especially those involved with Information Technology or Data Science to learn Machine Learning, so that they can stay relevant.
Learning Machine Learning in Austin has many benefits, some are listed below:
- It reels in better job opportunities:
The technology companies present in Austin generate a large amount of tech-related revenue in Texas. These companies are 3M, Apple, Amazon, AT&T, Adobe, etc. A report published by Tractica reported that services that use Artificial Intelligence had a worth of $1.9 billion in 2016 and this value is predicted to rise to about $19.9 billion by the end of 2025. Every company is now joining the bandwagon of using Machine Learning. Since every company wants to expand their domain in ML and AI, a knowledge in these domains is bound to attract more job opportunities.
- Machine Learning engineers earn a pretty penny:
The worth of a Machine Learning expert is comparable to that of a prospective quarterback at the NFL. The average salary for a Machine Learning Engineer is $129,273 per year in Austin, TX.
- Demand for Machine Learning skills is only increasing:
There are several companies in Austin that are hiring Machine Learning engineers including Forcepoint, eBay, Clockwork solutions, Asuragen, Cubic Corporation, OJO Labs, GE Power, Red Ventures, Spectrum, BlackLocus, UnitedHealth Group, EY, Bun & Bradstreet, Resideo, Novi Labs, etc. There is a large gap between the demand and supply for Machine Learning engineers. That is why the demand for Machine Learning engineers in increasing and so is their salary, a trend that is only expected to increase in the future.
- Most of the industries are shifting to Machine Learning:
In today’s market, data is the largest currency which is why many industries deal with large amounts of data and have realised the importance of data analysis. Companies want to work efficiently and gain an edge over their competitors by gaining insights from data. Industries ranging from financial sector to gas companies to government agencies now work in the field of Machine learning.