Mati Staniszewski, CEO of ElevenLabs, discusses the company's strategy for rapidly shipping research-grade AI. He covers their organizational structure of small, autonomous teams, a global and remote-first hiring philosophy, the transition from a creator-focused product to an enterprise platform, and the lessons learned in navigating complex licensing and scaling a go-to-market team.
Google DeepMind's Oliver Wang and Nicole Brichtova discuss the creation of the Nano Banana image model, its viral success driven by character consistency, and the future of AI in creative work, from user interfaces and 2D/3D world models to the next frontier of video generation and high-fidelity reasoning.
A detailed breakdown of a multi-method Agentic AI architecture, combining Large Language Models (LLMs) with traditional automation like workflow and decision engines to solve complex, real-world problems like loan processing.
Sarah Nam, VP of AI Strategy and Partnerships at AbbVie, and Anthropic’s Ivy Weng discuss how AbbVie is transforming pharmaceutical research and development with AI, from reimagining drug discovery and clinical trials to driving enterprise-wide adoption and evaluating strategic partnerships.
Mukhund and Madhav Jha, co-founders of Emergent, detail their journey of building an AI-powered app builder that reached $15M ARR in three months. They discuss their pivot from enterprise agents, the multi-agent architecture that enables production-ready apps, and their vision for a future with a 'billion builders'.
Zhen Lu, CEO of Runpod, discusses the shift from Web 2.0 architectures to an "AI-first" cloud. The conversation covers the unique hardware and software requirements for production AI, key use cases like generative media and enterprise agents, and the critical challenges of reliability and operationalization in the new AI stack.