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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：是否有数据科学和工程脑流失？如果是这样，我们怎样才能重新平衡它们？

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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，私营公司发生了许多突破，例如AT＆T Bell Labs。如今，类似的趋势是重复，但这次，在数据科学和工程中。在过去的十年中，大型民营企业李克谷歌，微软和Facebook中开发了许多非凡的里程碑创新。趋势似乎与深度学习的破坏性发展甚至加快了，可能是由于无与伦比的真实世界数据，最新的计算设施和相关基础设施以及行业的充分工程劳动力的可用性。

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