June 05-06, 2024
Hybrid Event
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The AI & ML developers conference

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About mlcon

mlcon is a hybrid conference, building a community of over 13k AI & ML developers that have participated since the first mlcon which was held in 2021. 

With the rapid emergence of generative AI technology, LLMs, and the continued maturity of AI in production, mlcon is the central meeting place for AI professionals and developers to learn pro tips, proven strategies and lessons learned from industry leaders.

Learn best practices and strategies for bringing generative AI to production, optimizing your AI infrastructure and how to stay ahead of the curve in the rapidly evolving field of AI.

At mlcon, AI leaders come together to foster a community around the most advanced AI practices, breaking down silos to openly share successes, failures, and lessons learned. Through collaboration, we ensure collective progress and development.

Together, we pave the way for a brighter future in AI innovation and advancement.

Get to know our speakers!

Agenda

Day 1
All times are in PST
Virtual Stage 1 Virtual Stage 2
08:30 - 08:40 Welcome by Greg Levander, EVP & CTO, Intel
Speaker:
Greg Levander, EVP & CTO, Intel
8:45 - 9:10 Samsung | Building and Evaluating Robust LLM-based Pipelines for Conversational Interfaces
Speaker:
Janvi Palan, Senior ML Research Engineer, Samsung Research America, Samsung
9:15 - 9:40 NASA | Pioneering Possibilities: How Large Language Models Amplified Collaboration, Prototyping, and Infusion at NASA JPL
Speaker:
Asitang Mishra, Senior Research Data Scientist, NASA Jet Propulsion Lab
9:45 - 10:10 Walmart | Productizing AI - Risks & Benefits Group
Speaker:
Srujana Kaddevarmuth , Director ML Center of Excellence, Walmart
10:15 - 10:40 Transforming Human Interaction: How Language Models Impact Communication by Intel Lift-Off | Panel
The rapid evolution of large language models (LLMs) and Generative AI is reshaping human communication. From AI-driven chatbots to language translation, these technologies are revolutionizing interactions with both humans and machines. Join leading experts from AI startups to explore the impact, opportunities, and challenges of LLMs and Generative AI. The panel will delve into scaling challenges, efficient architectures, training methods, and the potential of personalized AI assistants. Moderated by Rahul U. Nair, Head of AI at Intel Liftoff, this discussion highlights insights from pioneering AI startups Prediction Guard, The Mango Jelly, and Unsloth. Additional speakers at the panel: Rohit K. Co-Founder at The Mango Jelly (Intel Liftoff | Berkeley SkyDeck ) Daniel Han Co-Founder at unsloth.ai Daniel Whitenack Founder at Prediction Guard
Speaker:
Rahul Unnikrishnan Nair, Engineering Lead, Intel® Liftoff for Startups
10:45 - 11:10 Shell | Unleashing the Potential of Citizen Development
Speaker:
Muge Guclu, Principal Data Scientist, Shell BV
11:15 - 11:40 Glencore | Applications of Generative AI / Use Cases on ML / Multiparty computation
Speaker:
Srinivas Pradeep, Lead Data Scientist, Glencore
11:45 - 12:10 Lenovo | NASCAR Pitstop Revolution Using Intel Geti and OpenVINO for Real-Time Edge CPU Inferencing
Speaker:
David Ellison,  Chief Data Scientist, Lenovo
12:15 - 12:40 Cash App | Use of Generative AI technologies to rethink Compliance Operations
Speaker:
Vijay Sathish, Global Head of MLDS - Financial Crimes, Cash App
12:45 - 13:10 Colgate-Palmolive | Querying Neo4j Graph Data in Natural Language using Google's Gemini Model
Speaker:
Bhavesh Bhatt, Senior Data Scientist, Colgate-Palmolive
08:30 - 08:45 Welcome by Greg Levander, EVP & CTO, Intel
This session will be streamed on Stage 1
Speaker:
Greg Levander, EVP & CTO, Intel
8:45 - 9:10 Adobe | A Journey from Garage Week Project to Product
Speaker:
Deepak Pai, Senior Manager, Machine Learning - Adobe GenStudio, Adobe
9:15 - 9:35 Allstate | Advancing AI Innovation in Risk-Focused Industries
Speaker:
Joe Kleinhenz, Vice President, Data Science, Allstate Insurance Company, Allstate
9:40 - 10:05 Electronic Arts | Marketing Budget Allocation and Optimization with Bayesian Modeling
Speaker:
Saeed Omidi, Manager of Marketing Data Science, Electronic Arts
10:10 - 10:35 Snap Inc. | Behavioral Foundational Models: Cutting-Edge Approaches to Modeling User Interactions
Speaker:
Leonardo Neves, Principal Research Engineer, Snap Inc.
10:40 - 11:05 Riot Games | Machine Learning for Video Game AI
Speaker:
Ian Schweer , Software Engineer, Riot Games
11:10 - 11:35 Roche Diagnostics | Transforming Digital Healthcare by Leveraging Large Language Models (LLMs)
Speaker:
Vishakha Sharma Senior,  Principal Data Scientist, Roche Diagnostics
11:40 - 12:05 Bumble | What do we talk about when we talk about ML maturity?
Speaker:
Massimo Belloni,  Data Science Manager, Bumble
12:10 - 12:35 Caterpillar | Generative AI beyond the obvious use cases
Speaker:
Sabaita Mohsin, AI Product Leader, Caterpillar
12:40 - 13:05 McKinsey & Company | Achieving Millisecond-Level Performance in Large Language Model Inference
Day 2
All times are in PST
Live from San Jose, CA Virtual Stage 2
8:00 - 9:00 Registration and Light Breakfast in San Jose, California
09:00 - 09:25 Live | Keynote: Intel Tiber AI
This session will be broadcast live from San Jose, California
Speaker:
Markus Flierl, Corporate VP, Intel Developer Cloud
9:30 - 9:55 Live | Spotify | Causal Adaptive Learning for Recommendations
This session will be broadcast live from San Jose, California
Speaker:
Maria Dimakopoulou , Director of ML Engineering, Spotify
10:00 - 10:25 Live | Pinterest | Practical Lessons from Scaling Ads at Pinterest
This session will be broadcast live from San Jose, California
Speaker:
Aayush Mudgal , Staff Machine Learning Engineer, Pinterest
10:30 - 10:55 Live | Networking Break
11:00 - 11:25 Live | DoorDash + AI: Empowering Local Economies
This session will be broadcast live from San Jose, California
Speaker:
Sudeep Das, Head Of ML/AI, New Business Verticals, DoorDash
11:30 - 11:55 Live | SurveyMonkey | Integrating Emerging AI Technologies in Established Businesses: Strategies and Insights
This session will be broadcast live from San Jose, California
Speaker:
Jing Huang, VP of Engineering - AI/ML/Personalization, SurveyMonkey
12:00 - 1:30 Live Networking, Drink & Snacks
09:00 - 09:25 Live Keynote: Intel Tiber AI
Intel Tiber session will be streamed on stage 1
Speaker:
Markus Flierl, Corporate VP, Intel Developer Cloud
09:30 - 09:55 Virtual | Cognizant | Gen AI - Inception to Productionization
Speaker:
John Benito,  Senior Manager - Artificial Intelligence, Cognizant
10:00 - 10:25 Virtual | Accenture | Decoupling Myth from Reality: Artificial Intelligence and Gen AI in the Supply Chain and Operations
Speaker:
Ely X. Colón, AI Decision Sciences Principal Director & Gen AI Lead for Supply Chain & Operations in North America, Accenture Data & AI
10:30 - 10:55 Virtual | Norvatis | Large language models to power translational medicine
Speaker:
Valeria de Luca Michele Ghini, PhD, Data Scientist & Team Lead, Norvatis
11:00 - 11:25 Virtual | Intel Ignite Ted Talks
11:30 - 11:55 Virtual | AWS | Boosting the performance of LLM fine-tuning and inference on AWS
Speaker:
Vivek Gangasani, Sr. AI/ML Solutions Architect, AWS
12:00 - 12:25 Virtual | Intuitive Surgical | Developing Machine Learning Models to Enable Advanced Applications in Robot-Assisted Surgeries
Speaker:
Aneeq Zia, Manager, Machine Learning Engineering and MLOps, Intuitive Surgical
12:30 -12:55 Virtual | RBC | Classical AI/ML versus the next generation of AI/ML
Speaker:
Kerry Khoo-Fazari, Head of Data Science, CDO, RBC

Sessions from industry leading AI experts

Join Us for an Exclusive AI Experience in San Jose!

June 6, 2024 | 08:30 - 14:00

Glass House, San Jose, California.

Get ready for a dynamic and immersive experience where you’ll have the opportunity to engage with top speakers in AI and ML, participate in interactive activities, and network with industry leaders.

Here's what you can expect:

Engaging AI Activities: Dive into hands-on AI activities designed to stimulate your curiosity and expand your knowledge.
Top Speakers on AI and ML: Gain insights from leading experts who will share their expertise and perspectives on the latest trends and advancements in AI and ML.
Networking with Industry Leaders: Connect with top professionals and thought leaders in the AI community, forging valuable connections and collaborations.

Our event is focused on meaningful engagement and actionable insights – We can’t wait to welcome you to this exclusive AI experience in San Jose!

Request to join in-person

See what the community says about mlcon

Watch On Demand

Unlike any other ML community conferences

Incredible overview of the state of work and tooling in ML IRL, from wiring up a GPU- centric datacenter to using low/no-code platforms and everything in between.
It brings together a vast group of professionals within the Al/ ML space. Its amazing to see what others are working on and how Ai incorporate that into my work.
mlcon 2.0 was synonymous to what a quality summit should be.
Loved the practical use cases from various domains. Much better than the usual theoretical discussions.
The best thing about this conference for me is to have assembled this great army of superb experts. Is there a chance that you will repeat this totally fantastic feast in the near future?
It catered to anyone and everyone, whether old or new to data analytics field.
Aesthetically pleasing, content relevant, smooth flow.

First mlcon?

Here are some FAQ's

Is there a cost to attend mlcon?
mlcon is a free hybrid community event for AI and ML developers. We want this to be free and accessible for the community to discuss your ML projects and collaborate on applied AI.
Who organizes mlcon?
mlcon is organized by Intel Tiber, a full stack machine learning operating system built by developers, for developers to give teams everything they need to manage, build and deploy AI on any infrastructure whether on premise or cloud.
Who is mlcon for?
mlcon is best for individuals and teams interested in implementing AI into their workflow. There are sessions for all levels and expertise, whether you are an expert or beginner data scientist, executive, ML/data engineer, software developer, analyst and more! We have sessions that will cover all industries and various applications of AI from novice to expert.
What topics will be covered at mlcon?
Selected AI experts will share their use cases, lessons learned, pro tips, and proven strategies that have helped you actualize AI. Main topics: 1. Interesting applications or successful AI projects you've run (Recommendation Systems, Computer Vision, Speech Recognition, Transfer Learning etc) 2. Lessons learned or best practices on a specific topic (Research, Experiments, Deployments, Operationalization etc) 3. Production ML: Implementation, Tooling & Engineering, MLOps/ModelOps 4. Research topics you've worked on or are working on 5. Business strategies, such as management and sharing ROI to business stakeholders
Will sessions be available after the conference is over?
Yes. All sessions will be recorded and available on our website soon after the conference is over.
I’m having trouble watching the livestream. What should I do?
We recommend using Google Chrome or Firefox as the preferred browser for a seamless viewing experience.
How can I reach the conference organizers?
Please email Danit.salomon@intel.com and our team will be in touch with you shortly.