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- Nvidia will train 100,000 California residents on AI in a first-of-its-kind partnership
Nvidia will train 100,000 California residents on AI in a first-of-its-kind partnership
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👩💻 Nvidia will train 100,000 California residents on AI in a first-of-its-kind partnership
🖥️ 92% of IT jobs will be transformed by AI
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The state of California is pairing up with Nvidia for a first-of-its-kind AI training program.
As a release from the office of Governor Gavin Newsom on Friday explained, the program is designed to provide technical guidance, mentorship, and access to advanced hardware. The initiative focuses on three things:
Training students, educators, and workers
Supporting job creation and promoting innovation
Using AI to solve challenges that can improve the lives of Californians
The initiative is part of an executive order by Newsom that aims to make California a leader in AI and technology overall. 100,000 residents will participate in the training, which hopes to create "a pipeline to drive the innovations of the future" and address challenges like traffic congestion and language accessibility.
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No doubt artificial intelligence will be a paradigm shift for society. But the extent to which AI will replace human workers in the future remains up for debate.
To get a better idea how AI will change the labor market for technology professionals, the recently formed AI-Enabled ICT Workforce Consortium has published its inaugural report, “The Transformational Opportunity of AI on ICT Jobs,” which reveals that 92% of IT jobs will see a high or moderate transformation due to advances in AI.
The study argues that the biggest changes will be seen in mid-level (40%) and entry-level (37%) technology jobs, as certain skills and capabilities become more or less relevant. AI ethics, responsible AI, rapid engineering, AI literacy, and large language model (LLM) architecture are expected to rise in importance in this new era, while traditional data management, content creation, documentation maintenance, basic programming and languages, and research information will become less relevant.
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