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Artificial Intelligence (AI) is fundamentally reliant on data, and businesses are increasingly recognizing the importance of data literacy and management as essential components of a successful AI strategy. The landscape of data is evolving, with larger datasets providing more opportunities for powerful AI applications. As AI capabilities become crucial for competitiveness, access to data is emerging as a key factor in determining success.
Organizations are now exploring various methods to enhance their data strategies, including data augmentation, synthetic data generation, and leveraging foundational models. The creation of public data repositories aims to promote equitable access to data, which is vital for AI development. Businesses must adopt comprehensive data strategies that encompass public data sources, foundational models, and potential data purchases to maximize their return on investment from AI solutions.
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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