Conferences / MLOps World (Machine Learning in Production)
5th Annual MLOps World and Generative AI World Conference 2024
Nov 7–8, 2024 · Renaissance Austin Hotel, Austin, TX, United States
- Conference
- MLOps World (Machine Learning in Production) Data science & ML
- Dates
- Nov 7, 2024 – Nov 8, 2024
- Venue
- Renaissance Austin Hotel
- Place
- Austin, TX, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- mlopsworld.com
- Recorded
- 46 sponsors · 79 speaker appearances
- Notes
- In person Nov 7-8, 2024 at the Renaissance Austin Hotel (9721 Arboretum Blvd), co-located with Generative AI World / Generative AI Summit. A virtual day also ran (talks tagged 'Virtual Talk'/'Virtual Workshop' on the speakers page; Sessionize listing gives Nov 6-8). Speakers: those with abstract pop-ups on the speakers page snapshot of 2024-11-06 (~80 talks); the page's tabbed card list did not archive, so the list may be incomplete. Sponsor names derived from logo links (no alt text). No ticket prices captured (Eventbrite tiers load via JS).
Ticket prices
No ticket prices recorded
Sponsors 46
Platinum 1
- Aporia · Platinum Sponsor
Gold 10
- AryaXAI · Gold Sponsors
- IBM · Gold Sponsors
- JFrog · Gold Sponsors
- lakeFS · Gold Sponsors
- Lightning AI · Gold Sponsors
- Neptune · Gold Sponsors
- Outerbounds · Gold Sponsors
- SAS · Gold Sponsors
- Valohai · Gold Sponsors
- Weights & Biases · Gold Sponsors
Silver 5
- dotData · Silver Sponsors
- Featureform · Silver Sponsors
- Google · Silver Sponsors
- Tecton · Silver Sponsors
- VESSL AI · Silver Sponsors
Bronze 8
Startup 13
- AI Makerspace · Start-Up Corner
- CentML · Start-Up Corner
- Feedback Intelligence · Start-Up Corner
- Fimio · Start-Up Corner
- Guardrails AI · Start-Up Corner
- Inductor · Start-Up Corner
- Log10 · Start-Up Corner
- Modal · Start-Up Corner
- Okahu AI · Start-Up Corner
- Private AI · Start-Up Corner
- PromptLayer · Start-Up Corner
- Radiant AI · Start-Up Corner
- ZenML · Start-Up Corner
Community 9
- AITX Community · Community Partners
- Analytics on Fire Podcast · Community Partners
- Ask AI · Community Partners
- Austin LangChain AI Middleware User Group (AIMUG) · Community Partners
- Data Science Dojo · Community Partners
- Decoding ML · Community Partners
- LLM Watch · Community Partners
- Marvelous MLOps · Community Partners
- Unwind AI · Community Partners
Speakers and talks 79
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Aaron Cheng | dotData | Speaker | Overcoming Challenges in Deploying Successful MLOps Solutions | — |
| Aarushi Kansal | AutoGPT | Speaker | From Paper to Production in 30 Minutes: Implementing code-less Gen AI Research | — |
| Adam Probst | ZenML | Speaker | Supercharge ML Teams: ZenML's Real World Impact in the MLOps Jungle | — |
| Aishwarya Naresh Reganti | Amazon Web Services | Workshop | Evaluating LLM-Judge Evaluations: Best Practices | — |
| Alison Cossette | Neo4j | Speaker | Driving GenAI Success in Production: Proven Approaches for Data Quality, Context, and Logging | — |
| Amit Kesarwani | lakeFS | Speaker (virtual) | Fast Data Loading for Deep Learning Workloads with lakeFS Mount | — |
| Aniket Maurya | Lightning AI | Workshop (virtual) | Serving GenAI Workload At Scale With LitServe | — |
| Anish Shah | Weights & Biases | Speaker | Investigating the Evolution of Evaluation from Model Training to GenAI inference | — |
| Anish Shah | Weights & Biases | Workshop (virtual) | Hemm: Holistic Evaluation of Multi-modal Generative Models | — |
| Anu Reddy | Speaker | Optimizing AI/ML Workflows on Kubernetes: Advanced Techniques and Integration | — | |
| Arpita Vats | — | Speaker (virtual) | LLMs in Vision Models | — |
| Awais Bajwa | Bank of America | Speaker | AI in Financial Services: Emerging Trends and Opportunities | — |
| Bar Chen | Aporia | Speaker | AI Tools Under Control: Keeping Your Agents Secure and Reliable | — |
| Bhaskarjit Sarmah | BlackRock | Speaker (virtual) | HybridRAG: Merging Knowledge Graphs with Vector Retrieval for Efficient Information Extraction | — |
| Charles Frye | Modal | Speaker | How to Run Your Own LLMs, From Silicon to Service | — |
| Chinar Movsisyan | Feedback Intelligence | Speaker | Optimizing LLM Apps Through Usage: Implicit Feedback, Given Explicitly | — |
| Connor Joyce | Microsoft | Speaker | AI Features Demand Evidence-Based Decisions | — |
| Dan Adamson | AutoAlign | Speaker | Robustness with Sidecars: Weak-To-Strong Supervision For Making Generative AI Robust For Enterprise | — |
| Dattaraj Rao | Persistent Systems | Speaker | Agentic Workflows in Cybersecurity | — |
| David Cheng | Reka | Speaker | Multimodal Agents You Can Deploy Anywhere | — |
| Dre Olgiati | Speaker | Large Language Model Training and Serving at LinkedIn | — | |
| Eddie Mattia | Outerbounds | Workshop | MLOps Template for Time Series in Production | — |
| Eero Laaksonen | Valohai | Speaker | MLOps for AgenticAI: How to Manage Agents in Production | — |
| Eero Laaksonen | Valohai | Speaker | How to Avoid the Common Pitfalls when Scaling Your MLOps | — |
| Fatma Tarlaci | Rastegar Capital | Speaker | Agentic AI: Learning Iteratively, Acting Autonomously | — |
| Geoff LaPorte | Appen | Speaker | Striking the Balance: Leveraging Human Intelligence with LLMs for Cost-Effective Annotations | — |
| Gon Rappaport | Aporia | Workshop (virtual) | LLMidas' Touch; Safely Adopting GenAI for Production Use-Cases | — |
| Graham Neubig | Carnegie Mellon University | Speaker | The State-of-the-art in Software Development Agents | — |
| Harshit Agarwal | Faire | Speaker | ML Deployment at Faire: Predicting the Future, Serving the Present | — |
| Hudson Buzby | JFrog | Speaker | Your Entire AI/ML Lifecycle in A Single Platform | — |
| Hugo Bowne-Anderson | Independent | Workshop | Building Reliable AI: A Workshop to Build a Production Ready Multi-Modal Conversational Agent | — |
| Ilyas Lyoob | The University of Texas at Austin | Speaker | GenAI ROI: From Pilot to Profit | — |
| Ivan Nardini | Speaker | Era of Multimodal AI & Reasoning | — | |
| Ivan Nardini | Workshop | Building a Multimodal RAG: A Step-by-Step Guide for AI/ML Practitioners | — | |
| Jaeman An | VESSL AI | Speaker | Efficient AI Scaling: How VESSL AI Enables 100+ LLM Deployments for $10 and Saves $1M Annually | — |
| Jaeman An | VESSL AI | Speaker | Mastering Enterprise-Grade LLM Deployment: Overcoming Production Challenges | — |
| Jakob Frick | Radiant AI | Speaker | Finding the Hidden Drivers of AI Business Value | — |
| Jeff Clune | University of British Columbia | Speaker (virtual) | Open-Ended and AI-Generating Algorithms in the Era of Foundation Models | — |
| Jepson Taylor | Veox | Speaker | Unleashing the Algorithm Genie: AI as the Ultimate Inventor | — |
| Jineet Doshi | Intuit | Speaker | Measuring the Minds of Machines: Evaluating Generative AI Systems | — |
| John Hearty | Mastercard | Speaker | Enabling Safe Enterprise Adoption of Generative AI | — |
| Joseph Tenini | Universal Music Group | Speaker | Building Trust in AI Systems | — |
| Keri Olson | IBM | Speaker | Code Smarter, not harder: Generative AI in the Software Development Lifecycle | — |
| Konstantin Gizdarski | Lyft | Speaker | Generative AI Infrastructure at Lyft | — |
| Kshetrajna Raghavan | Shopify | Speaker | Multimodal LLMs for Product Taxonomy at Shopify | — |
| Lavanya Gupta | JPMorgan Chase | Speaker | Can Long-Context LLMs Truly Use Their Full Context Window Effectively? | — |
| Lee Twito | Lemonade | Speaker | Code Generation Agents: Architecture, Data Modeling Challenges, and Production-Ready Considerations | — |
| Marinela Profi | SAS | Speaker | LLMs Alone Do Not Solve Business Problems | — |
| Nadia Rauch | Nylas | Speaker | Evolving with AI: Insights from Nyla's Generative AI Journey | — |
| Niels Bantilan | Union.ai | Speaker | RAG Hyperparameter Optimization: Translating a Traditional ML Design Pattern to RAG Applications | — |
| Niklas Nielsen | Log10 | Speaker | Scale Expert Review by 10x to Ship AI Apps at Lightning Speed | — |
| Norm Zhou | Meta | Speaker | Beyond the Kaggle Paradigm: Future of End-to-End ML Platforms | — |
| Pablo Salvador Lopez | Microsoft | Speaker | Demystifying Multi-Agent Patterns | — |
| Paco Nathan | Senzing | Speaker | Catching Bad Guys Using Open Data and Open Models for Graphs to Power AI App | — |
| Qingyun Wu | Penn State University | Speaker | AutoGen: Enabling Next-Gen AI Applications via Multi-Agent Conversation | — |
| Ravi Chandu Ummadisetti | Toyota | Speaker | Toyota's Generative AI Journey | — |
| Remi Cadene | Hugging Face | Speaker (virtual) | LeRobot: Democratizing Robotics | — |
| Ron Baker | Trustwise | Speaker | Enterprise AI Alignment: Engineering Trust into GenAI Systems | — |
| Savin Goyal | Outerbounds | Speaker | Fast and Reproducible: Taming AI/ML Dependencies | — |
| Sergio Ferragut | Tecton | Speaker | Building Hyper-Personalized LLM Applications with Rich Contextual Data | — |
| Shelby Heinecke | Salesforce | Speaker | A Practical Guide to Efficient AI | — |
| Shreya Rajpal | Guardrails AI | Speaker | Building AI Infrastructure for GenAI Wave | — |
| Simba Khadder | Featureform | Speaker | ML Feature Lakehouse: Empowering Data Scientists to Build Petabyte-Scale Pipelines with Iceberg | — |
| Sophia Yang | Mistral | Speaker | Build with Mistral | — |
| Sri Raghu Malireddi | Grammarly | Speaker | On-Device ML for LLMs: Post-training Optimization Techniques with T5 and Beyond | — |
| Stefan Krawczyk | DAGWorks Inc | Workshop | Building Reliable AI: A Workshop to Build a Production Ready Multi-Modal Conversational Agent | — |
| Sumit Dahiya | Barclays | Speaker (virtual) | Secure and Scalable MLOps Pipelines for Generative AI in Cloud-Native Architectures | — |
| Tejas Chopra | Netflix | Speaker | Memory Optimizations for Machine Learning | — |
| Tom Smoker | WhyHow.AI | Speaker | Multi-Graph Multi-Agent systems - Determinism through Structured Representations | — |
| Urmish Thakker | SambaNova | Speaker | Building State-of-the-Art Chatbot Using Open Source Models and Composite Systems | — |
| Vatsal Patel | MongoDB | Workshop | A Data Scientist Guide to Unit & End to End Testing | — |
| Vinay Kumar Sankarapu | Arya.ai | Workshop (virtual) | From Black Box to Mission Critical: Implementing Advanced AI Explainability and Alignment in FSIs | — |
| Vinay Kumar Sankarapu | Arya.ai | Speaker | DL-Backtrace by AryaXAI: A Model Agnostic Explainability for Any Deep Learning Models (LLMs to CV) | — |
| Vinit Dhatrak | DocuSign | Speaker | Revolutionizing Cloud Storage: From Petabytes to Intelligence | — |
| Yuval Fernbach | JFrog | Speaker | From Silos to Synergy: MLOps & Developers Unified | — |
| Yuvaraj Tankala | Share Ventures | Speaker | Revolutionizing Venture Capital: Leveraging Generative AI for Enhanced Decision-Making and Strategic | — |
| Zachary Carrico | Apella | Speaker | From Black Box to Glass Box: Interpreting your Model | — |
| Zain Hasan | Weaviate | Speaker | Scaling Vector Database Usage Without Breaking the Bank: Quantization and Adaptive Retrieval | — |
| Zunair Waseem | Nebuly AI | Speaker | How to Build Your Own LLM User Feedback Loop with Nebuly | — |