MLOps World | GenAI Summit 2025

CI/CD Fails for AI & How CC/CD Fixes It

Aishwarya Reganti (LevelUp Labs) & Kiriti Badam (OpenAI)

Code-Guided Agents for Legacy System Modernization

Calvin Smith, OpenHands

Context Engineering Practical Techniques for Improving Agent Quality Today

Vaibhav Gupta, Boundary

Deploying Continental R&D’s First Predictive ML Model

Claudia Peñaloza, Continental Tires

DNS-like Trust Layer for Secure, Scalable AI-Agent Deployments on Kubernetes

Akshay Mittal, PayPal

Don’t Page the Planet: Trust-Weighted Ops Decisions

Eric Reese, Best Buy

Doxing Dark Money: Entity Resolution to Empower AI in Anti-Fraud

Paco Nathan, Senzing

Durable AI Agents — They're Failure Proof

Cornelia Davis, Temporal

Engineering Agents at Scale

Nancy Burditt, Atlas Cloud

Explainable AI at Fujitsu North America

Dippu Kumar Singh, Fujitsu | Lighting Talks

Fake Data, Real Power: Crafting Synthetic Transactions for Bulletproof AI

Bhavana Sajja, Expedia

Finding the Humanity in AI — 80+ Global Conversations

Graham Toppin, PeerLabs.ai | Lighting Talk

Forming an AI Opinion in a World With Asymmetric Information

Denys Linkov, Wisedocs

From Benchmarks to Reality: Embedding HITL in Your MLOps Stack

Micaela Kaplan, HumanSignal

From Vectors to Agents: Managing RAG in an Agentic World

Rajiv Shah, Contextual AI

From Zero to One: Building AI Agents From the Ground Up

Federico Bianchi, TogetherAI

Get Started with AI Agents Using Azure AI Foundry

Sandeep Gadey, Microsoft

Gradio: The Web Framework for Humans and Machines

Freddy Boulton, Hugging Face

Hope is Not a Strategy: Retrieval Patterns for MCP

Serena Chou, Elastic

How Math-Driven Thinking Builds Smarter Agentic Systems

Claire Longo, Comet

How to Build and Evaluate Agentic AI Workflows with FloTorch

Dr. Hemant Joshi, FloTorch

How to Train Your Agent: Building Reliable Agents with RL

Kyle Corbitt, OpenPipe

Inside the Foundational Data Layer

Vishakha Gupta-Cledat, ApertureData

Insights and Epic Fails from 5 Years of Building ML Platforms

Eric Riddoch, Pattern AI

LLM Inference: A Comparative Guide to Modern Open-Source Runtimes

Aleksandr Shirokov, Wildberries

Managing AI Agent Performance Degradation in Production

Kumaran Ponnambalam, Cisco

MCML: A Universal Schema for AI Traceability & Lifecycle Governance l PLEYVERSE AI

Memory & Memory Accessories Building an Agent from Scratch

Robert Shelton, Redis | Next Wave of AI