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AI advancements are poised to transform business processes across various industries. While some organizations are moving AI from research to production, many are still in the exploratory phase. The rush to implement AI has led to challenges, including incorrect outputs and data leaks due to inadequate governance.
A strategic approach to AI deployment is essential, focusing on identifying valuable use cases and mitigating risks. Leveraging large language models (LLMs) can assist organizations in prioritizing these use cases based on industry relevance and potential financial impact. Establishing a unified data platform is crucial for successful AI implementation, ensuring data accessibility and compliance.
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
How to level up your teaching with AI. Discover how to use clones and GPTs in your classroom—personalized AI teaching is the future.
Trump's Third Term? AI already knows how this can be done. A study shows how OpenAI, Grok, DeepSeek & Google outline ways to dismantle U.S. democracy.
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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