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Causal Artificial Intelligence, potential AI pitfalls, getting executive buy-in

What's New In Data

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Exploring Causal AI and Its Implications

This chapter examines the motivations and experiences that led to writing about causal AI, highlighting the practical versus theoretical aspects of artificial intelligence. It discusses the evolution of AI, emphasizing the importance of integrating traditional, generative, and causal AI into current strategies for informed decision-making. Additionally, it covers the capabilities of AI language models, addressing their limitations and outlining techniques to improve accuracy through Retrieval-Augmented Generation.

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