In its second year, TWIMLcon: AI Platforms 2021 again assembled an impressive selection of enterprise ML/AI practitioners and leaders for two weeks of insightful presentations, workshops and discussions on accelerating ML development and deployment in the enterprise.
Experience the best of this event with TWIMLcon On Demand, and learn from nearly 60 speakers and 40 sessions, including interviews with data science, ML and AI leaders like:
The application of machine learning in the enterprise is moving incredibly fast, with modeling techniques, platforms, tools, frameworks, and infrastructure all evolving rapidly. As a result, many organizations are failing to get the most out of their ML investments, due to the many challenges of moving ML models from development to production.
Ten years from now we will look back on this period of time with wonder: Why did we struggle so hard to operationalize ML models? Why were there so many tool choices and platform options? Why was everyone building their own platforms and tools? Why was it so hard to incorporate best practices like MLOps?
Unfortunately, those organizations that opt to wait for clarity may not be around to benefit from it when it arrives! The rest of us must roll up our sleeves and figure out how to efficiently stand up the people, processes and platforms that will allow us to deliver ML and AI at scale.
At TWIMLcon: AI Platforms, we gathered world-class experts—practitioners and leaders who are building tools and teams for delivering high-velocity ML and AI at scale—to share their thoughts on some of the questions that we all find ourselves wrestling with.
With your TWIMLcon On Demand pass, you will learn:
Order your TWIMLcon On Demand pass and don’t miss a single session.
As a TWIMLcon On Demand pass holder, you will have access to over 20 hours of content from 56 world-class practitioners on any device—laptop, tablet or smartphone.
There is no reason to make the same mistakes that have already been made. Learn from those who have come before you and who are succeeding in building some of the world’s largest AI/ML systems and teams.
With over 30 sessions, TWIMLcon On Demand offers a masterclass in how to design and build teams and platforms for delivering machine learning in a high-velocity, repeatable, consistent and predictable manner—at scale:
TWIMLcon sessions—presented by data scientists, engineers and leaders from teams at the forefront of operationalizing machine learning—can help you and your team save time and money by learning:
Machine Learning Platform Product Leader
Machine Learning Engineer at Snorkel AI, Adjunct Lecturer at Stanford
Machine Learning Platform
Head of Engineering, ML Platform Team
Staff Machine Learning Engineer, Listening Experiences
Machine Learning Engagement Lead
Senior Product Manager, Machine Learning Platform
Staff ML Software Engineer
Machine Learning Engineering Manager
VP, Head of Data and Analytics
Director of ML Platform
Vice President Data Science & Analytics
Principal Data Scientist and Executive Advisor
Senior Director, Digital Transformation - Head AI Products
VP of Data Science
Data Science Senior Principal & Global AI Lead, Resources
Vice President, Product Management
Noorzad, Head of Data Science
Chief Analytics Officer
Video recordings of TWIMLcon sessions delivered by leading AI and Machine Learning users including Netflix, Shopify, LinkedIn, Spotify, Google, iRobot, Intuit, Yelp, Salesforce, Prosus Group, Palo Alto Networks, Microsoft, and more.
Additional Executive Summit content featuring executives at bp, Adobe, Booz Allen, Walmart, Accenture, Orangetheory Fitness, Cruise, Prosus, Qualcomm, Yelp and more.
Add TWIMLcon 2019 On Demand access to your order for only $199.
Includes: 27 sessions, 13+ hours of content, featuring practitioners and leaders from Airbnb, CapitalOne, Facebook, NVIDIA, Stripe, SurveyMonkey, Twitter, and many, many more.
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.