Apr 23, 2026

SAP: Bringing the ‘Operating System’ of a Company into the AI Era with CTO Philipp Herzig

SAP CTO Philipp Herzig discusses the company's AI-driven transformation, focusing on three core pillars: generative UI, AI-native business processes, and a unified data layer. He explores the primary challenges to enterprise AI adoption—scale, data fragmentation, and security—while emphasizing the critical role of verifiability and "agent mining" in creating reliable, compounding value. Herzig also details the limitations of LLMs for predictive analytics on tabular data and introduces SAP's alternative, Relational Pre-trained Transformers (RPT1).

Apr 09, 2026

Building Agentic Applications with Spring AI • Matthew Meckes • GOTO 2025

Matthew Meckes from AWS makes a compelling case for Java's central role in the future of enterprise AI. This talk explores how Spring AI empowers developers to build robust, production-ready agentic applications by integrating LLMs with existing Java services, moving beyond proofs-of-concept to solve real-world business problems.

Apr 08, 2026

Your Insecure MCP Server Won't Survive Production — Tun Shwe, Lenses

Lenses.io experts Tun Shwe and Jeremy Frenay discuss the significant security and design hurdles in transitioning Model Context Protocol (MCP) servers from local development to enterprise production. They introduce five core principles for secure agentic design, including shrinking the attack surface and constraining inputs, and detail the necessity of remote MCP servers with robust authentication. The talk provides an in-depth comparison of OAuth 2.1's Dynamic Client Registration (DCR) and the more secure Client ID Metadata Document (CIMD) approaches for managing agent identities, offering a roadmap for building enterprise-grade agentic AI systems with MCP.

Apr 08, 2026

Agentic Engineering & PINNs: AI for Simulation Engineers - James Shaw | Podcast #172

James Shaw, a mechanical engineer and Ansys channel partner, delves into the current and future impact of agentic AI and physics-informed neural networks (PINs) on simulation workflows. He explores how AI is revolutionizing aspects from tech support and model setup to the solver itself, particularly in CFD. The discussion also covers the implications for the engineering job market, the 'senior-junior inversion crisis', and the continued irreplaceability of skilled engineers due to the inherent physicality of the world, emphasizing the need for robust, trustworthy data to train AI.

Mar 31, 2026

Agentic Data Management and the Future of Enterprise AI — with Rohit Choudhary

Rohit Choudhary, CEO of Acceldata, discusses the imminent 10x annual growth of enterprise data and how most organizations are unprepared. He introduces Acceldata's agentic data management platform, designed to make data self-aware, self-optimizing, and AI-ready. He emphasizes the 1000x cost difference of fixing data early versus late, the need for operational, real-time data governance, and why clear thinking and deep domain expertise, not just programming skills, will be most valuable in the age of AI.

Mar 26, 2026

How to Pass Context in an Agentic AI Flow

Grant Miller contrasts the static, single-application context of traditional OAuth with the dynamic, multi-system nature of agentic AI. He explains that agentic flows, involving orchestration, multiple agents, and LLMs, require a more sophisticated approach than simple prompt engineering. The video introduces 'context engineering' as the key strategy, which involves managing the entire system state, user context, and task history to optimize AI interactions and deliver accurate, context-aware responses.