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AI Data Strategies for Life Sciences Agriculture and Materials Science - with Daniel Ferrante of Deloitte

The AI in Business Podcast

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Harnessing AI for Data Transformation

This chapter discusses the development of a framework in AI aimed at managing the complexities of deep learning related to data representation. It explores the manifold hypothesis and how different data types can be organized mathematically, with implications for fields like agriculture and cancer research. The conversation emphasizes the significance of creating a data-driven culture to effectively integrate information and unlock new insights across various domains.

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