Conferences / MLCon (ML Conference)
MLcon New York 2024
Oct 7–10, 2024 · New York Marriott at the Brooklyn Bridge, New York, NY, United States
- Conference
- MLCon (ML Conference) Data science & ML
- Dates
- Oct 7, 2024 – Oct 10, 2024
- Venue
- New York Marriott at the Brooklyn Bridge
- Place
- New York, NY, United States
- Format
- Hybrid
- Status
- Past
- Attendance
- —
- Website
- mlconference.ai
- Recorded
- 0 sponsors · 35 speaker appearances
- Notes
- Hybrid ('New York or Online'); conference days and expo October 8-9; part of the 'devmio New York Week' with parallel S&S Media conferences (upgrade USD 250). Sponsor lists on the archived pages are rendered by script and could not be recovered. Prices are regular list prices excluding tax ('instead of' prices). Speakers: every program session listed for this edition in the organizer's program database (as rendered on the program/archive pages); role follows the session type (keynote/workshop/session).
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Conference Day | $799 | — | regular price | web.archive.org |
| 2-Day Ticket | $1,399 | — | regular price | web.archive.org |
| 3-Day Ticket | $1,849 | — | regular price | web.archive.org |
| 4-Day Ticket | $2,299 | — | regular price; early bird from USD 1,799 | web.archive.org |
Sponsors 0
No sponsors recorded
Speakers and talks 35
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Christoph Henkelmann | DIVISIO GmbH | Keynote | A cabinet of deep learning curiosities | — |
| Dr. Pieter Buteneers | Emma Legal | Keynote | Welcome and Opening MLcon New York 2024 | — |
| Dr. Pieter Buteneers | Emma Legal | Keynote | Revolutionizing Software Expertise with AI: Introducing devmio dev intelligence | — |
| Dr. Pieter Buteneers | Emma Legal | Keynote | AMA (ask me anything) Session with the ML Experts | — |
| Roy Derks | IBM | Keynote | Building AI applications Using JavaScript | — |
| Sebastian Meyen | Software & Support Media GmbH | Keynote | AMA (ask me anything) Session with the ML Experts | — |
| Sebastian Meyen | Software & Support Media GmbH | Keynote | Revolutionizing Software Expertise with AI: Introducing devmio dev intelligence | — |
| Amit Bendor | Unity | Workshop | ML Strategy Day | — |
| Christoph Henkelmann | DIVISIO GmbH | Workshop | ML Strategy Day | — |
| Christoph Henkelmann | DIVISIO GmbH | Speaker | How AI Used To (Not) Work | — |
| Cyril Gorlla | University of California, San Diego | Speaker | The Next Generation of Neural Networks: Opening the Black Box of Deep Learning | — |
| Debjyoti Paul | Amazon Web Services | Speaker | Relevance of Classical Machine Learning in the Age of Generative AI | — |
| Debjyoti Paul | Amazon Web Services | Workshop | LLMOPS: Productionizing Large Language Models with MLOPs strategies in Place | — |
| Devendra Singh | Discover Financial Services | Speaker | Sustainability concerns with AI/GenAI | — |
| Dr. Pieter Buteneers | Emma Legal | Workshop | ML Strategy Day | — |
| Dr. Pieter Buteneers | Emma Legal | Speaker | Turn LLMs into Consistent APIs - Embed the power of ChatGPT in your code base | — |
| Dr. Pieter Buteneers | Emma Legal | Speaker | Machine Learning Sucks | — |
| Francesco Esposito | Youbiquitous | Speaker | Retrieval-Augmented Generation: Beyond Toy Demos | — |
| Francesco Esposito | Youbiquitous | Speaker | Strategies and Concerns for Accessing (Database) Live Data in LLM Applications | — |
| Het Mistry | Navy Federal Credit Union | Speaker | Leveraging Generative AI to Assist Individuals in Financial Distress | — |
| Hubert Dulay | StarTree | Speaker | Easy Introduction to Vector Databases and Real-Time Analytics | — |
| Kristian Aune | Vespa.ai | Speaker | Retrieval and Adaptive In-Context Learning - the fastest flywheel | — |
| Luis Rodriguez | Trellix | Speaker | Gaining Trust in Zero Trust | — |
| Nick Desbarats | Practical Reporting | Speaker | What It Takes To Become a True Dataviz Pro | — |
| Nikhil Barthwal | Meta | Speaker | Patterns & Practices for Implementing Machine Learning Systems in Production | — |
| Pushkar Garg | Salesforce | Speaker | Data Quality Monitoring for ML Models in Production | — |
| Rachael Ferguson | Trellis.law | Speaker | [CANCELED] Taming the Wild West of Model Deployment | — |
| Ratul Ghosh | Intuit | Speaker | Orchestrating smart conversational experiences with speed and at scale with a Generative AI Operating System | — |
| Roy Derks | IBM | Workshop | Workshop: Building AI Applications for the Web | — |
| Ryan Lafler | Premier Inc | Speaker | Charting Your Organization’s Machine Learning Roadmap: Strategies for Avoiding Wrong Exits, Detours, and Rush-Hour Hype when Developing Algorithms for AI Workflows | — |
| Ryan Lafler | Premier Inc | Workshop | Introduction to Deep Learning with Python: Building Neural Networks with Keras & TensorFlow | — |
| Shomron Jacob | Iterate.ai | Speaker | Decoding Enterprise AI for Devs: Choosing Between Private LLMs and Public Generative AI Services | — |
| Shomron Jacob | Iterate.ai | Workshop | How To Improve Your LLM Code Projects With Better Data and Fine-Tuning | — |
| Vivek Gangasani | Amazon Web Services | Speaker | Efficient and Cost-effective to host hundreds of Hyper-personalized LLMs | — |
| Vivek Gangasani | Amazon Web Services | Speaker | Supercharging LLM Performance : Open-Source Innovations and Breakthroughs | — |
Sources
- https://mlconference.ai/archive/mlcon-2024-new-york-archive/
- https://mlconference.ai/new-york/program-ny/
- https://web.archive.org/web/20241004014157/https://mlconference.ai/new-york/
- https://web.archive.org/web/20240807082047/https://mlconference.ai/new-york/tickets-ny/
- https://web.archive.org/web/20240807082054/https://mlconference.ai/new-york/location/