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
08:30 - 08:40 Welcome by Greg Lavender, EVP & CTO, Intel | Intel’s strategy for AI
Speaker:
Greg Lavender, EVP & CTO, Intel
08:45 - 09:10 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
09:15- 09:40 Walmart | Productizing AI - Risks & Benefits Group
Speaker:
Srujana Kaddevarmuth , Director ML Center of Excellence, Walmart
09:45 - 10:10 Datadog | Solving DevOps problems with proactive ML based detection at Datadog
Speaker:
Rima Al-Ghossein, Data Scientist, Datadog
10:15 - 10:40 Intel® Liftoff | 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 Cape Analytics | From ML Models to ML Products, with examples from geospatial AI
The pace of advancements in AI is both exhilarating and daunting. While the potential impact across industries is undeniable, realizing this potential in practice is a challenge for most enterprises. Small and large companies alike often struggle to bridge the gap between a ML model or capability and a ML product that can power a customer-facing system. In this talk, I will outline three pillars for bridging the gap between ML models and ML products, illustrated with examples from applying computer vision to geospatial data in the insurance and real estate industries. First, a culture that emphasizes customer-driven iteration, innovation, and a focus on production. Second, a data-centric approach to modeling that prioritizes high-quality and relevant data over sophisticated modeling strategies. Third, establishing a robust infrastructure designed to minimize friction and chaos, aligned with the company's current readiness level and appropriate MLOps practices. By establishing sound methodologies underpinned by these three pillars - Culture, Data and Infrastructure - ML initiatives can more easily turn into ML products and realize their transformative potential.
Speaker:
Giacomo Vianello, Distinguished Data Scientist, Cape Analytics
11:15 - 11:40 Glencore | Applications of Gen AI in Internal Audit
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 AWS | Boosting the performance of LLM fine-tuning and inference on AWS
Speaker:
Vivek Gangasani, Sr. AI/ML Solutions Architect, AWS
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 - 08:40 Welcome by Greg Lavender, EVP & CTO, Intel | Intel’s strategy for AI
This session will be streamed on Stage 1
Speaker:
Greg Lavender, 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 - 9:40 Allstate | Advancing AI Innovation in Risk-Focused Industries
Speaker:
Joe Kleinhenz, Vice President, Data Science, Allstate
9:45 - 10:10 Electronic Arts | Harnessing the Power of Your First-Party Data for Optimizing Marketing Impact
Speaker:
Saeed Omidi, Saeed Omidi, Data Science Manager at Electronic Arts
10:15 - 10:40 Snap Inc. | Behavioral Foundational Models: Cutting-Edge Approaches to Modeling User Interactions
Speaker:
Leonardo Neves, Principal Research Engineer, Snap Inc.
10:45 - 11:10 McKinsey & Company | Achieving Millisecond-Level Performance in Large Language Model Inference
Speaker:
Xiao Ping Yang, Sr. Machine Learning Engineer / Machine Learning Architect, McKinsey & Company
11:15 - 11:40 Roche Diagnostics | Transforming Digital Healthcare by Leveraging Large Language Models (LLMs)
Speaker:
Vishakha Sharma Senior,  Principal Data Scientist, Roche Diagnostics
11:45 - 12:10 Bumble | What do we talk about when we talk about ML maturity?
Speaker:
Massimo Belloni, Data Science Manager, Bumble
12:15 - 12:40 Caterpillar | Generative AI beyond the obvious use cases
Speaker:
Sabaita Mohsin, AI Product Leader, Caterpillar
12:45 - 13:10 Intuit | Unlocking the Power of Gen AI: Trends, Applications, and Use Cases
Speaker:
Divya Beeram, Senior Staff Data Scientist, Intuit
Day 2
All times are in PST
8:00 - 9:00 Registration and Light Breakfast in San Jose, California
09:00 - 09:25 Live | Keynote: How Intel Empowers AI Innovators for Tomorrow's Breakthroughs
This session will be broadcast live from San Jose, California
Speaker:
Markus Flierl, Corporate VP, Intel Developer Cloud
9:30 - 9:55 Live | Spotify | Personalization at Spotify
This session will be broadcast live from San Jose, California // Maria Dimakopoulou is Director of Machine Learning at Spotify, where she is leading the Homepage Personalization Engineering organization. This is a 60+-people organization that is responsible for generating, ranking and distributing personalized content recommendations across music, podcasts and audiobooks on the Spotify’s homepage of 615+ million listeners. The 9 teams of Homepage Personalization Engineering innovate in a range of ML disciplines – contextual bandits, reinforcement learning, attention-based deep networks, multi-objective optimization & causal inference – as well as ML infrastructure, data engineering and backend systems at scale. Before Spotify, Maria Dimakopoulou was at Netflix, first driving Causal ML initiatives and subsequently building and leading the Adaptive Experimentation cross-functional working group of researchers, engineers and data scientists focused on delivering new experimentation capabilities at Netflix. Prior to Netflix, she did her PhD on Reinforcement Learning & Causal Inference at Stanford, where she was advised by Benjamin Van Roy & Susan Athey, and she worked at Google Research on the design and deployment of large-scale optimization algorithms for Google Technical Infrastructure and Google Ad Exchange.
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
Speakers:
Ke Xu, Senior Machine Learning Engineer, Pinterest
Runze Su, Senior 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 - 12:25 Live | Cash App | LLMs for Fighting Financial Crimes at Cash App
Speakers:
Vijay Sathish, Global Head of MLDS - Financial Crimes, Cash App
Suraj Jayakumar, Staff Machine Learning Scientist
12:30 - 14:00 Live Networking, Drink & Snacks
09:00 - 09:25 Live | Keynote: How Intel Empowers AI Innovators for Tomorrow's Breakthroughs
Intel Tiber session will be streamed on stage 1
Speaker:
Markus Flierl, Corporate VP, Intel Developer Cloud
09:30 - 09:55 Virtual | Cognizant | Mastering Gen AI: Building and Deploying GANs for Next-Gen Innovation
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 | Novartis | Large language models to power translational medicine
Speaker:
Michele Ghini, Data Scientist
11:00 - 11:25 Virtual | AI disruptors TED talks by Intel Ignite
AI Disruptors TED Talks by Intel Ignite explores advancements in AI, covering dynamic routing for optimal LLM performance, AI-assisted software development, the challenges of deepfake differentiation, and innovative tools designed for robust AI development. These talks from the most disruptive Intel Ignite's AI startups, highlight the transformative potential and future directions of AI technology. \\ Speakers: Itamar Friedman, CEO & Co-Founder, Codium | Ben Colman, CEO & Co-Founder, Reality Defender | Daniel Lenton, CEO, Unify | Greg Michaelson, Co-Founder and CPO, Zerve
Moderator:
Yuval Avnon, Global CTO, Intel Ignite
11:30 - 11:55 Virtual | Riot Games | Machine Learning for Video Game AI
Speaker:
Ian Schweer, Software Engineer, Riot Games
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 | Royal Bank of Canada | 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

The in-person event is *SOLD OUT* Join us virtually for an exclusive AI experience

Join us virtually for an exclusive AI experience

We will be happy to meet you in the virtual platform

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.

See what the community says about mlcon

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.