Courses, Big Think

Why real AI transformation goes far beyond tool access | Daphne Koller

6 lectures, 26 min in all

You’ve probably heard that artificial intelligence has untapped potential in today’s workplaces. And sure, many organizations have signed enterprise contracts and deployed different AI tools across all business units. But as insitro CEO and AI expert Daphne Koller stresses, making a tool available is not the same as intentionally leveraging it to transform your organization. The term “AI” is a catch-all that spans everything from large language models (LLMs) designed to generate text to machine learning aimed at modeling and optimizing real-world outcomes. Not only can the variety be staggering, but the media buzz can make it hard to parse which tools are relevant to which types of work. Fortunately, AI experts like Koller have been working with this technology for decades and have learned to tune into frequencies that can help you cut through the noise. Learning objectives: Envision ways AI can support innovative work. Establish realistic expectations for physical AI. Develop and evaluate AI use cases. Choose AI tools based on pragmatics, not promises. Cultivate risk-resilient AI practices.