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As AI transforms industries, technology CEOs and boards are at a pivotal juncture. Federal investments in AI have surged, bolstered by the CHIPS Act's $52.7 billion for semiconductor development. The challenge now is to showcase AI's value to secure ongoing investment and maintain a competitive edge in the global market.
Key priorities for leaders include demonstrating real-world impacts, fostering trust through transparency, and building strategic partnerships. Companies like Microsoft and OpenAI are leading the charge with significant investments in AI infrastructure, while initiatives like IBM's AI Apprenticeship program aim to bridge the skills gap in the workforce.
• Federal AI R&D investment reached $1.8 billion in FY 2023.
• Global AI market projected to hit $190.61 billion by 2025.
AI ethics involves the principles guiding responsible AI development and deployment, as seen in IBM's transparency efforts.
The AI skills gap refers to the shortage of qualified professionals in AI, prompting initiatives like Microsoft's AI for All.
LLMs are advanced AI systems trained on vast datasets, crucial for applications in natural language processing, as utilized by OpenAI.
Microsoft invests heavily in AI infrastructure and initiatives to enhance AI education and workforce development.
OpenAI focuses on developing advanced AI models and has engaged in significant advocacy for responsible AI oversight.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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