Is There a Data Science and Engineering Brain Drain? If So, How Can We Rebalance Them?

In the early days of computing, many breakthroughs happened in private companies, such as AT&T Bell Labs. Nowadays, a similar trend is repeating, but this time, in data science and engineering. In the last decade, many remarkable milestone innovations were developed in large private enterprises li ke Google, Microsoft, and Facebook. The tendency seems to be even sped up with the disruptive development of deep learning, possibly due to the unparalleled availability of abundant amounts of real -world data, latest computational facility and related infrastructure, and sufficient engineering workforce in industry.