As AI becomes progressively sophisticated, industries are employing machine learning, natural language programming (NLP), and generative AI to reduce human input in data analytics. Aside from displaying precise, actionable data insights and predicting outcomes, AI can advance sustainability initiatives by mitigating the environmental impacts of material production and business operations, among additional capabilities. However, this technology can make mistakes and has its limitations, so it’s crucial to assess use cases before implementing a strategy.