Semantic Search for AI Agents Explained | Jean Lafleur, Airbyte | TFiR
AI agents cannot reason across meeting notes, customer calls, and documents using keyword search alone. Jean Lafleur ...
Why OpenSearch Adoption Is Surging in 2026 | Bianca Lewis, OpenSearch Software Foundation | TFiR
Production adoption of OpenSearch nearly doubled in one year. Learn what the 2026 Linux Foundation Open Data ...
Why Multi-Agent AI Fails at the Infrastructure Level | Jon Alexander, Akamai | TFiR
Jon Alexander of Akamai breaks down why centralized infrastructure fails multi-agent AI systems, how per-iteration latency compounds ...
Is Kubernetes Ready for AI Workloads? | Dipesh Rawat, CNCF | TFiR
Kubernetes is evolving beyond generic scheduling. Dipesh Rawat, v1.37 Release Lead at CNCF, explains how DRA, watch ...
Cut Agent Evaluation Costs With Small Models | Kamal Hathi, Cisco | TFiR
Enterprise teams evaluating AI agent actions with large language models face crippling costs, high latency, and data ...
Java 27: Post-Quantum TLS and Faster Runtimes | Bernard Traversat, Oracle | TFiR
Java 27 ships post-quantum hybrid key exchange for TLS 1.3 as standard, reduces heap usage by up ...
Open Source on Mainframe: What OMP Does | John Mertic, Linux Foundation | TFiR
The Open Mainframe Project has been the neutral home for mainframe open source collaboration for 11 years. ...
AI Agent Routing at the Edge Explained | Dr. Robert Blumofe, Akamai | TFiR
AI agents today use the same centralized model for every request. Dr. Robert Blumofe of Akamai explains ...
Why Enterprise AI Pilots Fail in Production | Leo Brunnick, Cloudera | TFiR
Most enterprise AI pilots fail because governance rules built for humans are never extended to agents, data ...
Observability Without Feedback Fails AI Code | Bob Quillin, ControlTheory | TFiR
Bob Quillin of ControlTheory explains why traditional observability breaks under AI-generated code volume, how telemetry distillation eliminates ...