Conferences / MLCon (ML Conference)
MLCON 2023 New York
Sep 25–28, 2023 · New York Marriott at the Brooklyn Bridge, New York, NY, United States
- Conference
- MLCon (ML Conference) Data science & ML
- Dates
- Sep 25, 2023 – Sep 28, 2023
- 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 · 34 speaker appearances
- Notes
- First New York edition; hybrid ('New York or Online'), expo September 25-26. 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; early-bird prices until June 15 were much lower, e.g. 3-Day Ticket from USD 1,196). 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; early bird from USD 539 | web.archive.org |
| 2-Day Ticket | $1,299 | — | regular price; early bird from USD 809 | web.archive.org |
| 3-Day Ticket | $2,199 | — | regular price; early bird until June 15 from USD 1,196 incl. team discount | web.archive.org |
Sponsors 0
No sponsors recorded
Speakers and talks 34
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Christoph Henkelmann | DIVISIO GmbH | Keynote | LLM based agents - A Society of Mind? | — |
| Christoph Henkelmann | DIVISIO GmbH | Keynote | The Impact of ChatGPT on Business, Education, and Society — A Panel Discussion | — |
| Dr. Pieter Buteneers | Emma Legal | Keynote | The Impact of ChatGPT on Business, Education, and Society — A Panel Discussion | — |
| Dr. Pieter Buteneers | Emma Legal | Keynote | AMA (Ask-Me-Anything)-Session with the ML Experts | — |
| Dr. Pieter Buteneers | Emma Legal | Keynote | Welcome to ML Con 2023 in New York and Opening Keynote: Is Open Sourcing Models Like ChatGPT Unethical? | — |
| Ezinwanne Ozoani | Hugging Face | Keynote | Ethics as a Service: Empowerment through Evaluations | — |
| Leonardo De Marchi | idea.io | Keynote | The Impact of ChatGPT on Business, Education, and Society — A Panel Discussion | — |
| Sebastian Meyen | Software & Support Media GmbH | Keynote | Welcome to ML Con 2023 in New York and Opening Keynote: Is Open Sourcing Models Like ChatGPT Unethical? | — |
| Sebastian Meyen | Software & Support Media GmbH | Keynote | Ethics as a Service: Empowerment through Evaluations | — |
| Sebastian Meyen | Software & Support Media GmbH | Keynote | AMA (Ask-Me-Anything)-Session with the ML Experts | — |
| Aditya Gulgani | Meta | Speaker | Bias and Variance Trade-offs in Large-scale Recommendation Systems | — |
| Alyce Ge | Cherre | Speaker | Common Ways Machine Learning Models Fail to Hit Production | — |
| Brian Sletten | Bosatsu Consulting | Speaker | TensorFlow.js: ML in the Browser With JavaScript | — |
| Christoph Henkelmann | DIVISIO GmbH | Speaker | How to write a good Training Script? | — |
| Christoph Henkelmann | DIVISIO GmbH | Speaker | An Introduction to Embedding Vectors | — |
| Dr. Pieter Buteneers | Emma Legal | Workshop | Feature Engineering and Feature Selection Workshop | — |
| Dr. Pieter Buteneers | Emma Legal | Speaker | Self-supervised Learning: Teaching AI Common Sense | — |
| Grishma Jena | IBM | Speaker | Better together: Data Science and UX Research | — |
| Grishma Jena | IBM | Workshop | Learning Natural Language Processing with Python | — |
| Iddo Avneri | Treeverse | Speaker | Reproducible ML Processes With Open-Source | — |
| Iddo Avneri | Treeverse | Speaker | Getting ML Right in a Complex Data World | — |
| Jon Bratseth | Vespa.ai | Speaker | Vector Embedding AI in Production Systems | — |
| Karan Gupta | SunPower Corporation | Speaker | Unleashing the Power of Predictive Analytics: From Data to Insights | — |
| Leonardo De Marchi | idea.io | Workshop | Generative AI | — |
| Leonardo De Marchi | idea.io | Speaker | Introduction to Reinforcement Learning | — |
| Majid Baa Wafaa | RecomAI | Workshop | All You Need to Know About Recommendation System for Your Business | — |
| Majid Baa Wafaa | RecomAI | Speaker | Everything About Data Quality in ML and DL | — |
| Neda Navidi | — | Workshop | All You Need to Know About Recommendation System for Your Business | — |
| Neda Navidi | — | Speaker | Everything About Data Quality in ML and DL | — |
| Paul Dubs | Xpress AI | Speaker | A Practical Guide to Vector Space Search | — |
| Paul Dubs | Xpress AI | Speaker | Specializing Conversational AI for Improved Accuracy and Trustworthiness | — |
| Praveen Kolli | DoorDash | Speaker | Deep learning modeling for Ads | — |
| Sreya Francis | Farm Mutual Re | Speaker | Ways to enhance privacy and robustness of AI models: Federated learning + Causal Machine Learning | — |
| Vahan Petrosyan | SuperAnnotate | Speaker | Future of LLM Fine-tuning: The Data Prospective | — |
Sources
- https://mlconference.ai/archive/mlcon-2023-new-york-archive/
- https://mlconference.ai/new-york/program-ny/
- https://web.archive.org/web/20230529081940/https://mlconference.ai/new-york/
- https://web.archive.org/web/20230530005415/https://mlconference.ai/new-york/tickets-ny/
- https://web.archive.org/web/20230530015710/https://mlconference.ai/new-york/location/