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While generative AI tools like ChatGPT have grabbed headlines, many leaders continue to view such tools as a mere novelty. That is a mistake, says the author. Behind the scenes, organizations are experimenting with 'foundation models,' adapting them for tasks ranging from powering customer service bots to generative product design to automated coding. As these models broaden and extend what we can do with AI, they are enabling companies to transform human-AI interaction and build an entirely new generation of AI applications and services. To leverage these models to drive novel business solutions, companies need to understand their strengths and capabilities and track how they are advancing. The author provides a primer, explaining how foundation models will drive new data practices and transform the nature of knowledge sharing in organizations.

Today, much of what we take for granted in our daily lives stems from machine learning. Every time you use a wayfinding app to get from point A to point B, use dictation to convert speech to text, or unlock your phone using face ID, you're relying on AI. Companies across industries are relying on-and investing in - AI to drive logistics, improve customer service, increase efficiency and much more. The author presents research findings from Accenture, showing that organizations fall under four categories of 'AI maturity': Achievers, Builders, Innovators and Experimentors. He then describes the practices and mindsets of Achievers and presents five success factors for progressing toward AI maturity.