Born Observable: Fix AI Code Before It Breaks Prod | Greg Leffler, Splunk | TFiR
AI coding tools ship code fast and uninstrumented. Greg Leffler of Splunk explains born observable development, how ...
AI Inference Costs: Growth vs. Margin Trade-off | Ari Weil, Akamai | TFiR
Teams scaling AI inference globally must choose between optimizing for user growth and mindshare or margin and ...
Agentic AI for SOC Alert Fatigue | Lauren Wilson, Splunk | TFiR
SOC analysts face AI-accelerated threats while running on human-speed playbooks. Splunk Field CTO Lauren Wilson explains how ...
Why AI Workloads Fail Without Data Service Orchestration | Julian Fischer, anynines | TFiR
Julian Fischer, CEO of anynines, explains why vanilla Kubernetes is not enough for AI workloads, how a9s ...
How to Give AI Agents Safe Access to Enterprise Data | Jean Lafleur, Airbyte | TFiR
AI agents stall in enterprise environments for three reasons: data sovereignty rules, insufficient data access, and ungoverned ...
OpenSearch as AI Data Infrastructure | Bianca Lewis, OpenSearch Software Foundation | TFiR
Learn why 83% of enterprises are running or planning AI workloads on unified data infrastructure, how OpenSearch ...
Why AI Agents Get Enterprise Data Wrong | Raviv Levi, CData | TFiR
AI agents acting without enterprise context achieve only 65% accuracy and expose businesses to governance and cost ...
Why Agentic AI Makes Inference Latency Critical | Jon Alexander, Akamai | TFiR
Learn why the shift to autonomous agentic AI systems makes inference latency the critical infrastructure constraint, and ...
How to Match the Right AI Model to the Right Task | Dr. Robert Blumofe, Akamai | TFiR
Akamai CTO Dr. Robert Blumofe explains why routing every AI task through a large model destroys scalability, ...
Building a System of Record for AI Agents Before Dark Agents Take Over | Mangesh Pimpalkhare, Splunk | TFiR
Splunk SVP and GM Mangesh Pimpalkhare explains how domain-specific log reasoning models cut LLM token spend tenfold, ...