Three experts discuss the evolving landscape of data in AI, covering its critical role in model performance, challenges in sourcing and evaluating expert data, the development of advanced data generation techniques for diffusion models, and the complexities of multilingual pre-training.
Nubank, serving 135 million customers, uses AI agents for support. The talk reveals how simulated data for evaluations (evals) has enabled them to ship AI agents 20x faster. By addressing the bottleneck of multi-turn, stateful eval data, Snowglobe's grounded simulations create realistic customer interactions, allowing rapid testing, derisking, and significant improvements in customer satisfaction and self-service rates, even for open-source model experimentation.
Warp founder & CEO Ayush Sharma discusses building an AI-native employee management platform in a competitive market, detailing how "unsexy" payroll problems became a powerful wedge and why AI fundamentally shifts enterprise software development. He explains what "AI-native" means for product architecture and company structure, the advantage it gives technical founders, and Warp's vision for "systems of intelligence" to empower customers with AI agents for complex HR workflows.