How to Measure the Unit Economics of AI Inference | Ari Weil, Akamai | TFiR
Ari Weil, VP Product Marketing at Akamai, explains how to use real user monitoring, FinOps tooling, and ...
What Changes in Infrastructure When Every App Uses AI | Danielle Cook, Akamai | TFiR
Danielle Cook of Akamai explains why every application is now part of the AI ecosystem, how to ...
Why Data, Not GPUs, Is the Real Bottleneck for Enterprise AI | Prakash Darji, Everpure | TFiR
Prakash Darji of Everpure explains why enterprise AI agents fail when given unscoped data, how data primacy ...
How to Manage Data Services Consistently Across Kubernetes and AWS | Julian Fischer, anynines | TFiR
Julian Fischer, CEO of anynines, explains how Klutch introduces flexible CRD-based service instance abstractions derived from the ...
How to Govern AI Agents Running on Live Network Infrastructure | John Capobianco, Itential | TFiR
John Capobianco of Itential explains how FlowAI enforces governance at build time, not runtime, so enterprise teams ...
Why One GPU Cluster Can’t Serve Every AI Inference Workload | Dr. Robert Blumofe, Akamai | TFiR
Dr. Robert Blumofe explains how Akamai AI Grid intelligently orchestrates AI inference across 4,000 edge locations by ...
How to Give AI Agents Safe Access to Existing SQL Databases | Oren Eini, RavenDB | TFiR
Oren Eini, CEO of RavenDB, explains how Quill, a context layer for existing SQL databases, closes the ...
What Breaks in the New MCP Specification and How to Migrate | Du’An Lightfoot, Akamai | TFiR
Du'An Lightfoot, Senior Developer Advocate for AI Engineering at Akamai, breaks down every breaking change in the ...
When Does AI Inference Have to Be Distributed? | Jon Alexander, Akamai | TFiR
Jon Alexander of Akamai breaks down which AI inference workloads require distributed deployment and which can safely ...
How to Stop Secret Sprawl Before AI Agents Make It Unmanageable | Amber Britton, Doppler | TFiR
Amber Britton, CEO of Doppler, explains how secret sprawl forms, why AI agents break legacy credential assumptions, ...