In this episode, Ricardo discusses the broader context of AI in sustainability. While environmental sustainability is often the focus, Ricardo emphasizes the importance of social, environmental, and economic sustainability. He draws an analogy with the project management triangle (scope, time, cost) and introduces the "three C's": complexity, cost, and carbon. Balancing these aspects is essential as complexity, often driven by interdisciplinary demands, regulatory requirements, and data overload, increases costs. The environmental part is highlighted, citing the high carbon footprint of AI training. Ricardo provides a five-step approach for building sustainable AI applications, emphasizing understanding sustainable objectives, centralizing data, customizing algorithms, starting small with pilots, and implementing projects gradually to ensure long-term sustainability. He recommends reading his article for more insights.

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