Few executives have stood closer to the leading edge of AI than Andrew Ng. Find out how and why companies can build great AI teams in-house paid intel
ew executives have stood closer to the leading edge of artificial intelligence than Andrew Ng.
“A lot of companies are realizing the importance of how AI will impact their business," Ng says. “And they’re starting to build in-house AI teams.”Andrew Ng In most companies, AI will be used for multiple projects. For example, AI has been reducing work in agriculture. There are dozens of applications—everything from weed control to interpreting satellite imagery to optimizing the harvesters. It’s very difficult to hire AI talent that knows all of these vertical applications.
Remember that a hundred years ago companies were hiring vice presidents of electricity. They were brought in to support the whole company and dictate how to handle this newfangled thing called electricity. The job of the chief AI officer is to look across all lines of business and say how can we use AI to improve. When I was leading AI at Baidu, we had a product management team whose role was to go to every business unit and figure out whether they could help improve areas like the quality of web search, the contents of a map, recommend better movies or how online shopping worked. Their job was to find opportunities.
The Baidu structure delivered great results. Many elements, such as the idea of having technology teams and a systematic process for marrying breakthrough technology and concrete business applications, are useful to every company.
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