Conferences / MLOps World (Machine Learning in Production)
6th Annual MLOps World | GenAI Summit 2025
Oct 8–9, 2025 · Renaissance Austin Hotel, Austin, TX, United States
- Conference
- MLOps World (Machine Learning in Production) Data science & ML
- Dates
- Oct 8, 2025 – Oct 9, 2025
- Venue
- Renaissance Austin Hotel
- Place
- Austin, TX, United States
- Format
- In person
- Status
- Past
- Attendance
- 1,000Organizer sponsor page (2026 sales pitch): '1,000+ engaged attendees from across AI industry' and '700+ unique companies'; not explicitly tied to a single edition, recorded against the latest held edition (2025).
- Website
- mlopsworld.com
- Recorded
- 46 sponsors · 111 speaker appearances
- Notes
- In person Oct 8-9, 2025 at the Renaissance Austin Hotel; preceded by a free virtual 'Online Stage' Oct 6-7. Earlier promo posts gave Oct 7-9. Renamed 'MLOps World | GenAI Summit'. Speakers: full list from the speakers page (Oct 9, 2025 snapshot), one entry per speaker-talk pair; abstracts matched from the page's pop-ups. Sponsor names derived from logo links (no alt text). Prices: Super Early Bird = 25% off standard (first 100), Early Bird = 15% off until Sept 8, 2025, but no base amounts published; Eventbrite showed a range of $0 - $675.46 (currency not shown).
Ticket prices
No ticket prices recorded
Sponsors 46
Gold 5
- Comet · Gold Sponsors
- JFrog · Gold Sponsors
- Outerbounds · Gold Sponsors
- Valohai · Gold Sponsors
- Weights & Biases · Gold Sponsors
Silver 8
- Arize AI · Silver Sponsors
- Databricks · Silver Sponsors
- HumanSignal · Silver Sponsors
- Microsoft · Silver Sponsors
- Redis · Silver Sponsors
- Tavily · Silver Sponsors
- Union.ai · Silver Sponsors
- ZenML · Silver Sponsors
Bronze 8
Startup 11
- AG2 · Starup Zone
- AI Makerspace · Starup Zone
- ApertureData · Starup Zone
- Arcade.dev · Starup Zone
- Atlas Cloud · Starup Zone
- DataChain · Starup Zone
- Senzing · Starup Zone
- Sutro · Starup Zone
- Temporal · Starup Zone
- typedef · Starup Zone
- Zest AI (heyzest.ai) · Starup Zone
Community 11
- Ask AI · Community Partners
- Austin AI Alliance · Community Partners
- Austin Technology Council · Community Partners
- Google · Community Partners
- Hack AI · Community Partners
- Linkt · Community Partners
- LLM Watch · Community Partners
- Marvelous MLOps · Community Partners
- MLOps Club · Community Partners
- PyTexas · Community Partners
- Women in Data Science ATX · Community Partners
Media 2
- aiml.events · Media Partners
- O'Reilly · Media Partners
Other 1
- Uber · Official Open Source Sponsor
Speakers and talks 111
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Bryan McCann | You.com | Keynote | Building Open Infrastructure for the Agentic Era | — |
| Denys Linkov | Wisedocs | Keynote | Forming an AI Opinion in a World With Asymmetric Information | — |
| Aish Agarwal | Connecty AI | Speaker | Live Demo - World's First Data Agentic AI With Business Logic Intelligence | — |
| Aishwarya Naresh Reganti | LevelUp Labs | Speaker | Why CI/CD Fails for AI, and How CC/CD Fixes It | — |
| Akshay Mittal | PayPal | Speaker | Agent Name Service (ANS) in Action – A DNS-like Trust Layer for Secure, Scalable AI-Agent Deployments on Kubernetes | — |
| Aleksandr Shirokov | WildBerries | Speaker | LLM Inference: A Comparative Guide to Modern Open-Source Runtimes | — |
| Alessandro Pireno | Stealth | Speaker | I Tried Everything: A Pragmatist's Guide to Building Knowledge Graphs from Unstructured Data | — |
| Alex Olaniyan | PLEYVERSE AI | Speaker | MCML: A Universal Schema for AI Traceability and Lifecycle Governance | — |
| Alexej Penner | ZenML | Speakers corner | The Real Problem building Agentic applications (And How MLOps Solves It) | — |
| Andrew Smith | Speaker | Building an Agent in 30 minutes with ADK and MCP | — | |
| Anish Shah | Weights & Biases | Speaker | Building and Evaluating Agents | — |
| Anish Shah | Weights & Biases | Speaker | Architecting and Orchestrating AI Agents | — |
| Balaji Varadarajan | Target | Lightning | Building Sustainable GenAI Systems at Target | — |
| Bhavana Sajja | Expedia Group | Speaker | Fake Data, Real Power: Crafting Synthetic Transactions for Bulletproof AI | — |
| Bill Manning | JFrog | Speaker | Mind Your Models: Governance and Discovery in the Age of AI Sprawl | — |
| Calvin Smith | OpenHands | Speaker | Code-Guided Agents for Legacy System Modernization | — |
| Chris "The Wiz" Alexiuk | AI Makerspace | Speaker | Vibe-Coding Your First LLM End-to-End Application | — |
| Chris Matteson | Union.ai | Speakers corner | What gets AI Agents to Production | — |
| Claire Longo | Comet | Speaker | How Math-Driven Thinking Builds Smarter Agentic Systems | — |
| Claire Longo | Comet | Speakers corner | A Simple Recipe for LLM Observability | — |
| Claire Longo | Comet | Speaker | Building Conversational AI Agents with Thread-Level Eval Metrics | — |
| Claudia Penaloza | Continental | Speaker | Multilingual ML in Action: Building & Deploying Continental RnD’s First Predictive ML Model | — |
| Cornelia Davis | Temporal | Speaker | Durable AI Agents - They're Failure Proof | — |
| Danny Chiao | Databricks | Speakers corner | Techniques to build high quality agents faster with MLflow | — |
| David Baum | Amazon Web Services | Speaker | Humans in the Loop: Designing Trustworthy AI Through Embedded Research | — |
| Denise Kutnick | Variata | Speaker | Opening Pandora’s Box: Building Effective Multimodal Feedback Loops | — |
| Devdas Gupta | Charles Schwab | Lightning | AI-Powered Development Productivity in Finance | — |
| Dippu Kumar Singh | Fujitsu | Lightning | Explainable AI at Fujitsu North America Inc. | — |
| Dmitry Petrov | DataChain | Speaker | Query Inside the File: AI Engineering for Audio, Video, and Sensor Data | — |
| Donny Greenberg | Runhouse | Speaker | Why is ML on Kubernetes Hard? Defining How ML and Software Diverge | — |
| Dr. Greg Loughnane | AI Makerspace | Speaker | Vibe-Coding Your First LLM End-to-End Application | — |
| Dr. Hemant Joshi | FloTorch | Speaker | How to Build and Evaluate Agentic AI Workflows with FloTorch | — |
| Eero Laaksonen | Valohai | Speakers corner | 50% Cheaper Clinical AI Pipelines with Oracle Cloud + Valohai | — |
| Eric Reese | BestBuy | Speaker | Don't Page the Planet: Trust-Weighted Ops Decisions | — |
| Eric Riddoch | Pattern | Speaker | Insights and Epic Fails from 5 Years of Building ML Platforms | — |
| Eric Wang | Uber | Speaker | Michelangelo (Uber's ML Platform): Going Open Source | — |
| Federico Bianchi | TogetherAI | Speaker | From Zero to One: Building AI Agents From The Ground Up | — |
| Freddy Boulton | Hugging Face | Speaker | Gradio: The Web Framework for Humans and Machines | — |
| Graham Toppin | Peerlabs.ai | Lightning | Finding the Humanity in AI: 80+ Global Conversations | — |
| Hamza Tahir | ZenML | Speaker | MLOps for Agents: Bringing the Outer Loop to Autonomous AI | — |
| Hannes Hapke | Digits | Speaker | The Hard Truth About AI Agents: Lessons Learned from Running Agents in Production | — |
| Himani Rallapalli | Microsoft | Speaker | Judging the Agents: Building Reliable LLM Evaluators with Scalable Metrics and Prompt Optimization | — |
| Himanshu Joshi | COHUMAIN Labs | Lightning | The Iteration Trap: Why Gen AI Code Refinements Could Be Silently Undermining Your Security? | — |
| Hudson Buzby | JFrog | Speakers corner | AI Catalog by JFrog - Control access to Open Source LLM's | — |
| Hudson Buzby | JFrog | Speaker | Securing Models | — |
| Infant Vasanth | BlackRock | Speaker | Context is King: Scaling Beyond Prompt Engineering at BlackRock | — |
| Irena Grabovitch-Zuyev | PagerDuty | Speaker | Testing AI Agents: A Practical Framework for Reliability and Performance | — |
| James Le | TwelveLabs | Speaker | Video Intelligence Is Going Agentic | — |
| Jamieson Leibovitch | Uber | Speaker | Uber's Multi-Agent SDK | — |
| Josh Goldstien | Weaviate | Lightning | Purpose Built Data Agents - This is the Way | — |
| Juan Sequeda | data.world | Speaker | The Missing Layer: Why Semantics and Knowledge Graphs Are Essential for AI-Ready Data Systems | — |
| Kamal Singh Bisht | Discover Financial Services | Speaker | Autonomous MLOps Pipelines: Architecting Self-Healing, Drift-Resistant Models at Scale | — |
| Karthik Kalyanaraman | Langtrace AI | Speaker | Agentic Workflow | — |
| Kelvin Ma | Speaker | Productizing Generative AI at Google Scale: Lessons on Scoping and Delivering Ai Powered Editors | — | |
| Kiriti Badam | OpenAI | Speaker | Why CI/CD Fails for AI, and How CC/CD Fixes It | — |
| Kishan Rao | Okta | Speaker | Your Infrastructure Just Got Smarter: AI Agents in the DevOps Loop | — |
| Kshetrajna Raghavan | Shopify | Speaker | Where Experts Can't Scale: Orchestrating AI Agents to Structure the World's Product Knowledge | — |
| Kumaran Ponnambalam | Cisco | Speaker | Agent Drift: Understanding and Managing AI Agent Performance Degradation in Production | — |
| Kyle Corbitt | OpenPipe | Speaker | How to Train Your Agent: Building Reliable Agents with RL | — |
| Lanre Ogunkunle | PLEYVERSE AI | Speaker | MCML: A Universal Schema for AI Traceability and Lifecycle Governance | — |
| Lin Liu | Wealthsimple | Speaker | Story is All You Need | — |
| Linus Lee | Thrive Capital | Speaker | Agents as Ordinary Software: Principled Engineering for Scale | — |
| Madhu Ramanathan | Meta | Speaker | The Efficiency Equation: Leveraging AI Agents to Augment Human Labelers in Building Trust and Safety Systems at Scale | — |
| Mariam Jabara | Arcee AI | Lightning | SLMs + Fine-Tuning: Building the Infrastructure for Multi-Agent Systems | — |
| Micaela Kaplan | HumanSignal | Lightning | Why GenAI Still Needs Humans in the Loop | — |
| Micaela Kaplan | HumanSignal | Speaker | From Benchmarks to Reality: Embedding HITL in Your MLOps Stack | — |
| Nancy Burditt | Atlas Cloud | Speaker | Context Under Pressure: Engineering Agents at Scale | — |
| Naveen Reddy Kasturi | Realtor.com | Lightning | Agent-Powered Code Migration at Realtor.com | — |
| Nicholas Luzio | Arize AI | Speakers corner | Building Feedback-Driven Agentic Workflows | — |
| Nicholas Luzio | Arize AI | Lightning | Shipping AI That Works | — |
| Niels Bantilan | Union.ai | Speaker | A Practical Field Guide to Optimizing the Cost, Speed, and Accuracy of LLMs for Domain-Specific Agents | — |
| Nitin Kumar | Marriott International | Lightning | A Modular Framework for Building Agentic Workforces at Marriot International | — |
| Noah Nefsky | Tavily | Lightning | The Missing Piece: How Web Search Supercharges AI Agents | — |
| Pablo Salvador Lopez | Microsoft | Speaker | From Static IVRs to Agentic Voice AI: Building Real-Time Intelligent Conversations | — |
| Paco Nathan | Senzing | Speaker | Doxing Dark Money: Entity Resolution to Empower Downstream Ai Applications in Anti-Fraud | — |
| Paul Yang | Runhouse | Speaker | Why is ML on Kubernetes Hard? Defining How ML and Software Diverge | — |
| Prasanth Nandanuru | Wells Fargo | Lightning | ROI of Gen AI Frontier Models vs Traditional Models in Finance Industry | — |
| Pratik Verma | Okahu AI | Speaker | Build Reliable AI Apps with Observability, Validations and Evaluations | — |
| Qingyun Wu | AG2 | Speaker | Build the Next Generation of Agent Workforce with AG2 | — |
| Raghu Chandra | TrueFoundry | Speakers corner | Unified Control Plane for Enterprise GenAI: Powered by Agentic Deployment Platform with Central AI Gateway & MCP Integration | — |
| Rajiv Shah | Contextual AI | Speaker | From Vectors to Agents: Managing RAG in an Agentic World | — |
| Ravi Chandu Ummadisetti | Toyota | Speaker | Agentic AI in Manufacturing | — |
| Ravi Shankar | Dick's Sporting Goods | Lightning | Streamlining ML collaboration at Dick's Sporting Goods | — |
| Remy Muhire | Pindo.ai | Speaker | From Hello to Repayment: Voice AI in African Finance | — |
| Ricardo Tejedor Sanz | Shopify | Speaker | Where Experts Can't Scale: Orchestrating AI Agents to Structure the World's Product Knowledge | — |
| Robert Shelton | Redis | Lightning | Beyond the Vibe: Eval Driven Development | — |
| Robert Shelton | Redis | Speaker | Memory and Memory Accessories: Building an Agent from Scratch | — |
| Romil Bhardwaj | SkyPilot | Speaker | Building Multi-Cloud GenAI Platforms without The Pains | — |
| Sally Lee | Uber | Speaker | Michelangelo (Uber's ML Platform): Going Open Source | — |
| Sandeep Gadey | Microsoft | Speaker | Get Started with AI agents Using Azure AI Foundry | — |
| Sanket Badhe | TikTok | Speaker | Adversarial Threats Across the ML Lifecycle: A Red Team Perspective | — |
| Serena Chou | Elastic | Speaker | Hope is Not a Strategy: Retrieval Patterns for MCP | — |
| Seth Kimmel | Sutro | Speaker | The New Wave of Synthetic Data | — |
| Shelby Heinecke | Salesforce | Speaker | What’s Next in the Agent Stack | — |
| Shub Argha | Arcade.dev | Speaker | Untangling the Web: Navigating the Complex Landscape of Open Source AI Networking Protocols | — |
| Srishti Bhargava | Amazon Web Services | Speaker | The Rise of Self-Aware Data Lakehouses | — |
| Stephen Ellis | Toyota | Speaker | Agentic AI in Manufacturing | — |
| Suhas Pai | Hudson Labs | Speaker | Architecting a Deep Research System | — |
| Sushant Mehta | Speaker | Building Effective Agents | — | |
| Tony Kipkemboi | CrewAI | Speaker | Building Conversational AI Agents with Thread-Level Eval Metrics | — |
| Vaibhav Gupta | Boundary | Speaker | Context Engineering: Practical Techniques for Improving Agent Quality Today | — |
| Vaibhav Misra | Capital One | Speaker | RAG architecture at CapitalOne | — |
| Vaibhav Page | BlackRock | Speaker | Context is King: Scaling Beyond Prompt Engineering at BlackRock | — |
| Vaibhavi Gangwar | Maxim AI | Speaker | Observability Panel | — |
| Ville Tuulos | Outerbounds | Speakers corner | Agentic Metaflow in Action | — |
| Ville Tuulos | Outerbounds | Speaker | Metaflow: The Baseplate for Agentic Systems | — |
| Vincent Koc | Comet | Speakers corner | A Simple Recipe for LLM Observability | — |
| Vishakha Gupta-Cledat | ApertureData | Speaker | What Does A Foundational Data Layer For The AI Era Look Like? | — |
| Yegor Denisov-Blanch | Stanford University | Speaker | Impact of AI on Developer Productivity | — |
| Yoni Michael | typedef | Lightning | DataFrames for the LLM Era: Turning Inference into a First-Class Transform with Fenic | — |
| Zachary Carrico | Apella | Speaker | A Practical Guide to Fine-Tuning and Deploying Vision Models | — |
Sources
- https://web.archive.org/web/20251009031746/https://mlopsworld.com/speakers/
- https://web.archive.org/web/20251009031803/https://mlopsworld.com/sponsor/
- https://web.archive.org/web/20250721013614/https://mlopsworld.com/post/on-sale-early-bird-tickets-for-mlops-world-genai-summit-2025/
- https://gdg.community.dev/events/details/google-gdg-austin-presents-paid-event-6th-ann-mlops-world-amp-generative-ai-world-conference-2025
- https://mlopsworld.com/sponsor/