Vincent Granville Predictions for Data Science in 2016 and Beyond
Data science and statistical modeling will be further automated; frontiers between data science, operations research, Machine Learning will disappear, and more.
Here are some of the predictions for 2016 and beyond from
Vincent Granville, founder of Data Science Central.
Read more predictions here.
See also 22 Big Data & Data Science experts predictions for 2016.
 Data science and statistical modeling will be further automated, with better blackbox products
 Frontiers between data science, operations research, machine learning, artificial intelligence and statistics, will disappear
 AI will become more prominent, and referred to as deep learning in our community
 We will see more open data and open projects
 The death of the fake data scientist: if you only know basic R or SQL, earned your title spending a few hours in a data science boot camp not working on any real big data project, and if your knowledge comes from free books read by millions of people, you won't easily find a job.
 The birth of the data scientist convert: conversely and ironically (with respect to my previous point), if you are not a data scientist, maybe a biologist or physicist, but have worked on real data, are able to code, and produced value out of data, you might get a data science job easier than ever.
Read more predictions here.
See also 22 Big Data & Data Science experts predictions for 2016.
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