Tech Talk | Shipping with Context: Knowledge Graphs as the Backbone of AI-First Software Delivery
Date: Tuesday, February 03 at 11am PT / 2pm ET
AI is writing your code. But who's connecting it to reality?
As AI-generated code floods production pipelines, the gap between what AI can create and what it understands about your organization is becoming the bottleneck. Your CI/CD workflows, security policies, cost patterns, and operational dependencies exist in silos, invisible to the agents you're asking to automate them.
Knowledge graphs change that. They're the missing layer that turns disconnected tooling data into living context AI can actually reason over. Not a database. Not a dashboard. A connected representation of how your systems, teams, and processes actually work together.
In this session, we'll cut through the hype and show you exactly how leading engineering orgs are using knowledge graphs to make AI operational, not experimental.
What You'll Walk Away With
- The fundamentals, without the academic baggage: Knowledge graphs explained as they matter to practitioners; entities, relationships, and context that mirrors your actual delivery topology, not just your data schema.
- Why this is the separator: Understand what makes knowledge graphs the context primitive behind production-grade AI systems, and why quick demos collapse without them.
- Real delivery scenarios: From auto-generating deployment pipelines to root-causing cost anomalies to safely orchestrating rollbacks. See how teams are putting knowledge graphs to work where it matters.
Who This Is For
Engineering leaders and platform teams feeling the squeeze: ship faster, maintain control, and scale AI beyond demos. If you're evaluating agentic systems or AI assistants and need them to operate across your actual stack, not a sanitized sandbox, this is your blueprint.
Perfect for VPs of Engineering, Platform/DevOps leads, SREs, and AI/ML architects who know the next bottleneck isn't code generation; it's making AI delivery aware.
Register now!
About the presenters:
Prateek Mittal, Product Manager, Harness
Prateek Mittal is a Product Manager at Harness, where he builds and scales the platform, which is evolving at a breathtaking pace, leading the core and data platform. He is currently conceptualizing the knowledge graph using the Semantics layer at Harness for the future of DevSecOps, and it can be utilized with DevOps AI Agents.
John K, Waters, Editor at Large, Redmondmag.com
As the Editor in Chief in the Converge360 group of 1105 Media, journalist and author John K. Waters manages leading news sites focused on worldwide technology trends, from artificial intelligence to the software development lifecycle.
Date: 02/03/2026
Time: 11:00 AM PT