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首页> 外文会议>IEEE International Conference on Data Engineering >Is There a Data Science and Engineering Brain Drain? If So, How Can We Rebalance Them?
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Is There a Data Science and Engineering Brain Drain? If So, How Can We Rebalance Them?

机译：有数据科学和工程人才流失吗？如果是这样，我们如何重新平衡它们？

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摘要

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.
机译：在计算的早期，AT＆T贝尔实验室等私营公司实现了许多突破。如今，类似的趋势正在重复，但这次是在数据科学和工程领域。在过去十年中，大型私有企业（如Google，Microsoft和Facebook）开发了许多非凡的里程碑式创新。深度学习的颠覆性发展似乎甚至加速了这一趋势，这可能是由于无与伦比的大量现实世界数据的可用性，最新的计算设施和相关基础设施以及行业中足够的工程人员所致。

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