Artificial intelligence, data science, and big data in 2019: what really mattered Packt Hub

Barely a day passes without a new scandal emerging, from questionable surveillance to racist AI algorithms. But it hasn't all been bad: while negatives get a lot of attention (and so they should – the consequences of tech can be lethal, both societally and literally), there was still plenty to get excited about. And for those working in the data profession – as analysts, scientists, and engineers, there were several important trends that really helped to define where we are now from a purely practical perspective – as well as hinting at where we might go in the future. With just a few weeks left to go of the year (and the decade!), let's look at some of the key things that defined this year in the field of data science and data engineering. TensorFlow is undoubtedly the most popular deep learning framework.