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Math and business development: Why the 2 divergents skills matter in an AI world
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简介Dmitriy Sidor/Getty ImagesArtificial intelligence (AI) keeps upending our ideas about future skill r...
Artificial intelligence (AI) keeps upending our ideas about future skill requisites in interesting ways. On one level, AI requires a deep understanding of underlying technology, data science, and statistics.
At the same time, AI also calls for less immersion in underlying technicalities and an ability to keep an eye on business advantage.
The Future of AI, Jobs, and Automation
We've entered a period of dramatic innovation in AI and automation and it's going to have a significant impact on the future of jobs, productivity, and the ways we operate in teams. Research predicts that worker productivity could increase by as much as 4x by 2030, powered by AI. We unpack the opportunities and the ways to benefit from this transformation.
Read nowWith the rise of AI, technology managers, and professionals face some critical decisions regarding which of these two seemingly divergent skill demands they ought to pursue.
Tools built on generative AI offer compelling productivity advantages for developers and other technology professionals -- but it also means rethinking their roles. For those seeking to get heavily immersed in building AI applications, this may be the time to shore up one's basic math skills.
For others seeking more right-brained roles, business development skills are the top requirement.
AI in 2023: A year of breakthroughs that left no human thing unchanged These are the jobs most likely to be taken over by AI AI at the edge: 5G and the Internet of Things see fast times ahead Almost half of tech executives say their organizations aren't ready for AI or other advanced initiatives AI in 2023: A year of breakthroughs that left no human thing unchangedTags:
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