AI Reasoning Model Comparison: Evaluating the Next Frontier in Data and AI Innovations

About the Session

As AI continues to evolve from pattern recognition to complex reasoning, the capabilities of emerging models—such as retrieval-augmented generation (RAG), multi-agent systems, and advanced reasoning architectures—are transforming the way organizations process and act on data. This panel brings together AI researchers, product leaders, and enterprise practitioners to compare and contrast various AI reasoning models, focusing on their architecture, performance, explainability, and domain-specific effectiveness. Panelists will discuss real-world implementations across sectors including healthcare, law, enterprise automation, and scientific research. Attendees will leave with a clearer understanding of which reasoning models suit their use cases and what the future holds for intelligent data-driven systems.

Speaker

Niyati P

Google, Software ML Lead