TWIMLcon: AI Platforms
The leading MLOps & Enterprise ML/AI virtual conference and community gathering took place in January 2021.
Discover how leading organizations deliver high-velocity ML and AI at scale.
- Learn from 50+ world-class data science, ML and MLOps practitioners and leaders—from companies like Netflix, Shopify, LinkedIn, Spotify, Google, Walmart, iRobot, Adobe, Intuit, Yelp, Salesforce, Prosus, Qualcomm, and more.
- Access 20+ hours of professionally produced keynotes, presentations, demos, and panels discussing the most important issues for practitioners and leaders building and deploying AI and ML at scale.
- Develop a practical blueprint for delivering machine learning efficiently and at scale.
Speakers
Experience the best of TWIMLcon with TWIMLcon On Demand, and learn from over 50 world-class speakers.
Solmaz Shahalizadeh
Vice President,
Commerce Intelligence
Shopify
Faisal Siddiqi
Director of Engineering,
Personalization Infrastructure
Netflix
Franziska Bell
Vice President,
Head of Data & Analytics
bp
Chris Albon
Director,
Machine Learning
WikiMedia
Ya Xu
Head of,
Data Science
LinkedIn
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Advance Your Skills and Accelerate Your Team
Discover the state-of-the-art the practices, platforms, tools, and technologies for scaling and accelerating enterprise ML and AI.
With TWIMLcon On Demand video access you will learn:
- How to overcome the barriers to efficiently delivering ML and deep learning models into production
- How to apply MLOps and DevOps to enhance the machine learning workflow in your organization
- The latest approaches and platform technologies for accelerating and scaling ML, DL and AI
- How to provide platform and infrastructure support for the end-to-end model development workflow
- The secrets that help practitioners and leaders at organizations like BP, Google, Shopify, Spotify and many more successfully deliver value at scale with machine learning and artificial intelligence
- Organizational and cultural best practices for success
Memorable Insights
“If you’re serious about your data, you want to invest in your platforms.”
Solmaz ShahalizadehVP of Commerce Intelligence, Shopify 
“The currency of an analytics team is trust, not data.”
Ameen KazerouniChief Analytics Officer, Orangetheory Fitness 
“The goal is to produce an ML system that functions reliably and that can replicate that at scale.”
Justin NormanVP Data Science & Analytics, Yelp 
“Now it’s about productization and treating models less like a crystal chandelier and more like a disposable coffee cup. If you find a better one, use it and throw away the old one.”
Chris AlbonDirector of Machine Learning, WikiMedia 
“It is our obligation to bring our customers on the journey with us. We need to be in the mindset that we are enabling people to do their jobs."
Jurgen WeichenbergerData Science Senior Principal & Global AI Lead, Resources, Accenture 
“This is the greatest technology of our lifetime, now it’s about getting the tools to be able to do it at scale”
Diego OppenheimerCEO, Algorithmia 
About Us
TWIMLcon: AI Platforms is brought to you by Sam Charrington and the team behind the TWIML AI Podcast.
The conference has its roots in a series of podcast interviews and ebooks on the topic of AI Platforms published going back to the fall of 2018. The series – which featured interviews with ML Platforms and Infrastructure engineers and leaders from Facebook, Airbnb, LinkedIn, OpenAI, Shell and Comcast – resonated strongly with listeners and remains one of our most popular series to this day.
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