Explore the shift from reactive to predictive DevSecOps with Akshay Mittal. This discussion covers how AI-Augmented DevSecOps and Agentic Workflows are creating self-healing systems, the critical role of Explainable AI (XAI), and a four-layer architecture for building scalable, enterprise-grade AI solutions.
Akshay Mittal discusses the evolution of enterprise AI, focusing on the crucial shift from reactive to predictive security through AI-augmented DevSecOps. He explores how to productionize agentic AI workflows using AIOps and Kubernetes, and emphasizes the non-negotiable need for explainable AI (XAI) in critical systems.
Experts discuss OpenAI's new ad model for ChatGPT, the breakout moment for agentic coding with Claude Code, IBM's "Enterprise in 2030" report on the shift from AI efficiency to innovation, and Hugging Face's new "Open Responses" standard for agent APIs.
The a16z AI Apps team outlines their investment framework for the current AI application cycle, which they see as the fastest product shift in software history. They detail three core themes for building defensible businesses: AI-native software for greenfield markets, applications that replace labor by owning entire workflows, and "walled garden" businesses built on proprietary data moats.
OpenAI CFO Sarah Friar and investor Vinod Khosla discuss the immense demand for AI compute, debunking the 'bubble' narrative by highlighting real-world productivity gains. They explore the future of agents, AI in healthcare, enterprise adoption, and the transformative potential of robotics on the global economy.
Ben Luria, CEO of Hirundo, discusses the critical need for machine unlearning, framing it as a form of "AI neuro-surgery" for enterprise AI. He explains how this technique directly modifies model weights to remove unwanted data and behaviors, addressing core risks that superficial solutions like guardrails cannot solve.