Learn How the Experts Deliver
High-Velocity Machine Learning
at Scale!
Learn How the Experts Deliver High-Velocity Machine Learning at Scale!
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:
- 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
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.
Learn from industry leaders and skip the learning curve.
Get TWIMLcon On Demand and get started now!
A Masterclass in Delivering High-Velocity ML at Scale
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:
- Learn from 50+ world-class presenters and panelists from teams leading the application of AI and Machine Learning at companies like Netflix, Shopify, LinkedIn, Spotify, Google, Walmart, iRobot, Adobe, Intuit, Yelp, Salesforce, Prosus Group, Palo Alto Networks, Microsoft, Qualcomm, and more.
- Take advantage of 20+ hours of keynotes, presentations, demos, and panels discussing the most important issues for practitioners and leaders building and deploying AI and ML at scale.
- Your TWIMLcon On Demand pass gives you full access to professionally produced event videos (and presentation slides where available) so you can watch and listen at your leisure.
A masterclass in delivering enterprise ML & AI.
Order TWIMLcon On Demand today!
Build Smarter, Innovate Faster and Avoid Costly Mistakes
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:
- Where to start your ML/AI platforms journey?
- How to get started with MLOps?
- How opinionated or flexible should your tools and platforms be?
- Should you build, buy, borrow or use open source?
- What are the advantages of on-prem vs in-cloud ML platforms?
- What are the most important tools and components for high-velocity ML ?
- How can you take advantage of best-in-class technologies while also avoiding lock-in?
- Where have other teams failed, and how can we sidestep these challenges?
- How can we build a team and culture that supports rapid ML innovation?
- What are organizational and cultural best practices for success?
- How do we measure ROI and prove our team's value so that we can build momentum and secure funding?
- How do we think about and execute on the idea of responsible AI?
Order TWIMLcon On Demand now.Packages start at $499 $399
Learn What Works and What Doesn't When Building for Scale and Velocity in the Real World
Faisal Siddiqi
Netflix
Solmaz Shahalizadeh
Chris Albon
Ya Xu
Build your ML Operationalization Knowledge Through Case Studies, How-Tos, Perspective Talks, Panels and Workshops
How Spotify Does ML at Scale
Aman Khan
Product Manager
Josh Baer
Machine Learning Platform Product Leader
When Good Models Go Bad: The Damage Caused by Wayward Models and How to Prevent it
Josh Baer
Engineering Director
Machine Learning is Going Real-Time: Are You Ready?
Chip Huyen
Machine Learning Engineer at Snorkel AI, Adjunct Lecturer at Stanford
Cost Transparency and Model ROI at Intuit
Ian Sebanja
Machine Learning Platform
Srivathsan Canchi
Head of Engineering, ML Platform Team
Driving Platform Adoption Success at Spotify
James Kirk
Staff Machine Learning Engineer, Listening Experiences
Lex Beattie
Machine Learning Engagement Lead
Maisha Lopa
Senior Product Manager, Machine Learning Platform
Samuel Ngahane
Staff ML Software Engineer
Maya Hristakeva
Machine Learning Engineering Manager
PANEL
AI Operationalization: Where the AI Rubber
Hits the Road for the Enterprise
Get your Virtual TWIMLcon On Demand Pass today!
Order now starting at $499 $399
Exclusive: Level-Up as an AI/ML Leader With On-Demand Access to TWIMLcon's Half-Day Executive Summit
Franziska Bell
VP, Head of Data and Analytics
bp
Building the Business Case for ML Platforms
Divya Jain
Director of ML Platform
Justin Norman
Vice President Data Science & Analytics
Kirk Borne
Principal Data Scientist and Executive Advisor
Why ML Projects Fail and How to Ensure Their Success
Andy Minteer
Senior Director, Digital Transformation - Head AI Products
Kirk Borne
VP of Data Science
Jurgen Weichenberger
Data Science Senior Principal & Global AI Lead, Resources
Building Teams and Culture that Support ML Innovation
Ziad Asghar
Vice President, Product Management
Pardis Noorzad
Noorzad, Head of Data Science
Ameen Kazerouni
Chief Analytics Officer
Get your TWIMLcon On Demand
Executive Summit Pass today!
In Total, More than 50 Speakers
Joined TWIMLcon to Share their Lessons-Learned About How to Build and Scale Real-World ML and AI Systems and Products
Memorable Insights
Watch it All at Your Convenience
Starting at Just $499 $399
ProFESSIONAL
On Demand
Includes
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.
- All regular conference videos
- 31 Sessions
- 20+ hours of content
Limited time offer!
$499 $399
Executive
On Demand
Includes
Additional Executive Summit content featuring executives at bp, Adobe, Booz Allen, Walmart, Accenture, Orangetheory Fitness, Cruise, Prosus, Qualcomm, Yelp and more.
- All regular conference videos
- Exclusive executive summit content
- 36 sessions
- 25+ hours of content
Limited time offer!
$999 $799
BONUS Opportunity
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.
Use the form below to complete your purchase and get immediate access to 20+ hours of TWIMLcon On Demand content
*Lead a team? Contact us for details about team purchase discounts.
ABOUT TWIML
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.