Conferences / MLOps World (Machine Learning in Production)
7th Annual MLOps World | GenAI Summit 2026
Nov 17–18, 2026 · Etter-Harbin Alumni Center, Austin, TX, United States Announced
- Conference
- MLOps World (Machine Learning in Production) Data science & ML
- Dates
- Nov 17, 2026 – Nov 18, 2026
- Venue
- Etter-Harbin Alumni Center
- Place
- Austin, TX, United States
- Format
- In person
- Status
- Announced
- Attendance
- —
- Website
- mlopsworld.com
- Recorded
- 14 sponsors · 51 speaker appearances
- Notes
- Announced: in person Nov 17-18, 2026 at the Etter-Harbin Alumni Center, Austin; free virtual day Nov 16; workshops listed for Nov 19 (format/location not stated). Site: '2 Days, 16 Tracks, 75 Sessions'. Speakers: from the speakers page snapshot of 2026-10-17 (role 'speaker (virtual day)' = Nov 16 sessions); list may still grow. Sponsors from the live homepage (2026-11-08). No ticket prices published on the site.
Ticket prices
No ticket prices recorded
Sponsors 14
Platinum 1
- Weights & Biases · Platinum Sponsor
Gold 2
- Anaconda · Gold Sponsor
- Tigris Data · Gold Sponsor
Silver 4
- bem · Silver Sponsors
- Runpod · Silver Sponsors
- Union.ai · Silver Sponsors
- Zipline AI · Silver Sponsors
Bronze 4
- Braintrust · Bronze Sponsors
- DragonflyDB · Bronze Sponsors
- Elastic · Bronze Sponsors
- Teradata · Bronze Sponsors
Startup 3
- Agentic Fabriq · Starup Zone
- Topogy · Starup Zone
- Vespa.ai · Starup Zone
Speakers and talks 51
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Amit Kumar Padhy | Adobe | Speaker | When Pricing, Catalog, and Compliance Collide: Building Multi-Agent Ai Swarms that Actually Ship Products | — |
| Anne Griffin | Griffin Product Co | Speaker | Driving Better Outcomes with Open Weight Models | — |
| Antonio Bustamante | bem | Speaker (virtual day) | There’s No One There to Press Retry: What We Learned Running AI on a Million Documents a Day | — |
| Arun Malik | Microsoft | Speaker | Letting AI Agents Run Incident Response on a 12M-Device Network: Guardrails, Gating, and 70% Lower Cost | — |
| Aryan Dhar | Wisedocs | Speaker | From Model Metrics to System Behaviour: Measuring Reliability in Non-Deterministic AI | — |
| Balaji Varadarajan | DigitalOcean | Speaker | Little’s Law Meets the Roofline Model: A Decision Framework for Sizing Hosted LLM Inference | — |
| Chris Alexiuk | NVIDIA | Workshop | NemoClaw: Building a More Secure Runtime for Long-Running Autonomous Agents | — |
| Christopher G. Potts | Stanford University | Speaker (virtual day) | — | — |
| D. Sculley | — | Speaker | Maybe the Puppets Were Right All Along | — |
| Deji Andrew | Niagara Bottling | Speaker | The Model Was Right. The Corrections Still Failed. | — |
| Dr. Amir Feizpour | Aggregate Intellect | Workshop | Systematic Development of Production Agents: An Evidence-Driven Approach | — |
| Drew Crawford | DrewCrawfordApps LLC | Speaker | I Made 104 Model Configurations Play Mafia Against Each Other | — |
| Fuzail Khan | Meta | Speaker | Training Generative Recommenders in Production | — |
| Greg Jennings | Anaconda | Speaker | The Cost of a Sovereign Token | — |
| Ishaan Sehgal | Omnara (YC S25) | Speaker | The Log is the Agent | — |
| Jake Kang | Whitney AI | Speaker | Building Reliable Browser Agents in Healthcare | — |
| Jazmia Henry | Collide | Speaker (virtual day) | Closing the Gap Between What AI Is Trained On and What Users Actually Need | — |
| Jessica Garson Beauchemin | Runpod | Speaker (virtual day) | From Python Function to Serverless GPU with Runpod Flash | — |
| Jim Allen Wallace | Dragonfly | Speaker (virtual day) | Fan-Out, Tail Latency, and Cluster Mutations: Three Problems in An Ad-Serving Feature Store at Hundreds of Nodes | — |
| Joe Reis | Practical Data Media | Speaker | Machinery, Meaning, and Agency: Data Engineering for AI | — |
| Juan Sequeda | ServiceNow | Speaker | Scar Tissue: 20 Lessons from 20 Years of Building Ontologies and Knowledge Graphs | — |
| Kalpesh Sutaria | NVIDIA | Speaker | Performance is the Product: Our Journey to SoTA for Nemotron Retriever | — |
| Kshetrajna Raghavan | Shopify | Speaker | From One-Shot to Agentic: Optimizing Shop Intelligence with DSPy | — |
| Kumaran Ponnambalam | Cisco | Speaker | Personalized Experiential Learning: How Do Enterprises Build AI Agents That Learn and Adapt for Users and Tenants? | — |
| Kyle Kelley | Anaconda | Speaker (virtual day) | Notebooks in the Loop: Exploring Audio Models with Agents and Editable Python | — |
| Maitrik Patel | Apple | Speaker | One Orchestration Layer for All: Unifying Batch ML, Real-Time Inference, and Agent Workflows in Production | — |
| Manikandan Paramasivan | KOHO Financial | Speaker | AI-Assisted, Audit-Ready: Scaling ML Platform and Developer Productivity at A Regulated Fintech | — |
| Matt Foley | bem | Workshop | Make It Never Fail: A Hands-On Lab in Taking AI Extraction from 80% to Production-Grade | — |
| Matt Mazzarell | Teradata | Speaker (virtual day) | Building Agentic Apps with Customer Data Products | — |
| Michael Perry | Improving | Workshop | Build Your Own Software Factory: Customized AI-Assisted Development | — |
| Nadia Rauch | Chubb | Speaker | Why Your Multi-Agent Pipeline Is Slow and Expensive (And How to Fix It Systematically) | — |
| Nalin Dadhich | NVIDIA | Speaker | The Moments Real Video Misses: How Synthetic Data Made Cosmos 3 #1 | — |
| Naresh Kumar Batthula | DraftKings | Speaker | When Code Got Fast: The Real Bottlenecks in the AI-Assisted SDLC | — |
| Niels Bantilan | Union.ai | Speaker (virtual day) | Your GPUs Are Not an AI Factory: How We Built a Durable Runtime for Sovereign AI | — |
| Nikhil Simha Raprolu | Zipline AI | Speaker (virtual day) | Building High-Stakes Agentic Systems | — |
| Poonam Lamba | Speaker | Maximizing GPU Utilization in LLM Post-Training with Co-Operative Time-Slicing in LLM-D | — | |
| Rajiv Shah | OpenHands | Workshop | Building Better Coding Agents: A Hands-On Workshop in Harness Engineering | — |
| Ravi Satya Durga Prasad Yenugula | 2K Games | Speaker | Wiring Beats Blending: Structure-Aware Initialization for Transformer Conversion | — |
| Ravika Nagpal | KOHO Financial | Speaker | AI-Assisted, Audit-Ready: Scaling ML Platform and Developer Productivity at A Regulated Fintech | — |
| Robert Lewis | Precocity | Speaker | Review without Skew | — |
| Sandeep Bharadwaj Mannapur | ServiceNow | Speaker (virtual day) | Silent Drift: Why Your LLM’s Quality Is Degrading and Your Metrics Can’t See It | — |
| Siddharth Jain | OpenAI | Speaker (virtual day) | From Prompt to Privileged Action: Identity and Audit Controls for Enterprise AI Agents | — |
| Suneet Malhotra | Motorola Solutions | Speaker (virtual day) | End-To-End AI QA Pipelines with Claude Code + Mcp: Requirements → Jira → Test Cases → Mobile Automation at ~80% Accuracy | — |
| Tony Blank | — | Speaker | Build the Pond Before You Teach Fishing: Killing Per-Person AI Tooling and Measuring What Replaced It | — |
| Upal Saha | bem | Workshop | Make It Never Fail: A Hands-On Lab in Taking AI Extraction from 80% to Production-Grade | — |
| Varant Zanoyan | Zipline AI | Speaker | Agentic Model Development with Zipline AI | — |
| Vashishtha Patil | Amazon Web Services | Speaker | The Economics of Autonomous Research | — |
| Vicente Rubén Del Pino Ruiz | Optum | Speaker (virtual day) | Beyond Unit Tests: A Digital-Twin Approach to AI Agent Evaluation | — |
| Vishvesh Pandey | JPMorgan Chase | Speaker | When the Bill Arrives: Cost Engineering for Production AI Agents in Enterprise Analytics | — |
| Yegor Denisov-Blanch | Stanford University | Speaker (virtual day) | — | — |
| Zachary Hamilton | Braintrust | Speaker | Closing the Loop in the Agentic Software Development Lifecycle with Evals | — |