Here’s what leaders need to know in this shifting landscape.
November 02, 2023
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Cloud tools and technologies are influencing the future of data science work in two key areas: scaling resources and improving workforce agility. If organizations want to make use of these capabilities, though, they also need to develop strong data security and privacy frameworks when operating in a cloud environment. The author shares some examples of how organizations are doing this work.
The role of “data scientist” is among the top 20 fastest-growing occupations in the U.S., with 36% projected growth by 2031. These data professionals fuel the growth and innovation that’s needed to solve some of the world’s biggest problems, from climate change to chronic disease. Yet common infrastructure issues, such as critical data being unavailable or unsecured, often stall an organization’s ability to innovate.
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Peter Wang is the CEO and co-founder of Anaconda, an operating system for AI.
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New!
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Accelerate your career with Harvard ManageMentor®. HBR Learning’s online leadership training helps you hone your skills with courses like Digital Intelligence . Earn badges to share on LinkedIn and your resume. Access more than 40 courses trusted by Fortune 500 companies.
Excel in a world that’s being continually transformed by technology.
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