Beyond Better Models: What Will Define the Next Era of AI?
Session Overview
AI models are getting more capable every month β but capability alone doesn't make AI useful in daily work. In this keynote, Kay Zhu, Co-Founder and CTO of Genspark, shares a builder's perspective on the shift from chatbots to agentic systems: what actually bridges the gap between raw model intelligence and real-world workflows, and what it takes to turn that intelligence into output people can use.
Key Takeaways
- Why model capability and real-world usefulness are not the same problem β and where most AI products get stuck between the two.
- The evolution from chatbots to agentic systems, and what's actually required to make that shift work in production.
- What bridges the gap between foundation models and real workflows β from a team shipping new features weekly at enterprise scale.
- Lessons from co-inventing Google's Panda algorithm and leading core search ranking β and how that experience shapes how Genspark builds today.
- A builder's view on what it takes to turn raw intelligence into meaningful, everyday output.
Speaker
Kay Zhu is the Co-Founder and CTO of Genspark, bringing over 15 years of pioneering experience in AI and search technology. At Google, Kay co-invented the landmark Panda algorithm and led core search ranking efforts, focusing on machine learning and web quality. He was instrumental in advancing deep learning applications in production search systems and developing conversational AI platforms. Kay's technical leadership has been key to Genspark's rapid product innovation, where the team ships new features on a weekly basis while maintaining enterprise-scale architecture.