Generative AI and Search - What's Real and What Not to Do

Russo sits down with Simon Langevin of Coveo and here are some hightlights Introduction and Background: Simon Langevin, VP of product at Coveo, manages the e-commerce side of the business, which includes B2C and B2B search engine functions. The conversation covers the impact of generative AI on search and Coveo's approach to using large language models for content summarization and smart snippets. Challenges in Search and AI: The interview discusses the conflict between algorithmic product recommendations and business concerns, emphasizing the need for balance. The future of AI is highlighted as becoming more personalized, transparent, and controlled by humans. Intent Detection: Simon explains that intent detection involves understanding user behavior and language. Coveo uses product embeddings and tracks user interactions to predict intent, aiming to create a more refined and personalized search experience over time. Future of AI in E-commerce: The vision for AI includes integrating product discovery with expert guidance and support. This would create a seamless experience akin to a brick-and-mortar store, providing holistic support and advice to customers. Simon stresses the importance of investing in effective search technology to enhance the overall user experience.