Articles: TWIMLcon 2021

From 1 to 100+ ML Models in Four Years
Architectural Patterns in ML
Building Agility and Velocity In Machine Learning From The Ground Up
TWIMLcon Day 5: Architecting ML Systems for Inevitable Change
Key Factors When Building a Global Data Science Team
TWIMLcon Day 6: Moving Faster with Data Science and Machine Learning Platforms
TWIMLcon Day 4: Executive Summit
TWIMLcon Day 3: How to Get Models from Development to Production Consistently and Predictably
TWIMLcon Day 2: The Secret Life of Production ML Systems
TWIMLcon Day 1: If You’re Serious About Your Data, Invest in Your Platforms
The Rise of the Model-Driven Enterprise and the Importance of ML/AI Platforms
2021 Agenda Updates!
Secrets of a Kaggle Grandmaster
Solmaz Shahalizadeh In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago to now having over 100 models in production across all aspects of the business. Though she had much to share, one quote that stood out...
In our recent conversation with Nishan Subedi, VP of Algorithms at Overstock.com, he shared with us his approach to machine learning systems and organizational design. Applying architectural patterns to ML system design Nishan shared how the seminal book “Design Patterns: Elements of Reusable Object-Oriented Software” inspired him to look at system architecture as a set...
How do you build a machine learning platform for one of the world’s largest websites from the ground up? This is the question we posed to Chris Albon, Director of Machine Learning, at the Wikimedia Foundation. This is what told us: Learn everything you can about your organization, the customers it serves, and the critical...
What a start to week two of TWIMLcon 2021! Today’s sessions featured speakers from WikiMedia, Prosus Group, Palo Alto Networks, Clorox, Dataiku, Janssen Pharmaceutical Companies, iRobot, Algorithmia, and ClearML sharing their thoughts on building and running data science and ML platforms. We also got an overview of major themes and trends in machine learning for...
What are the most important factors to consider when building a global data science team? Ya Xu, Head of Data Science at LinkedIn, recently shared at TWIMLcon how she went from being an individual contributor to becoming a data science leader with over 350 global team members. During our conversation, Ya encouraged us to remember...
Today was the sixth day of TWIMLcon and the final day of presentations before we head into a full day of workshops and then a wrap-up unconference. Today we were fortunate to speak to folks from LinkedIn, Intuit, Cloudera, Yelp, Rakuten, Microsoft, Salesforce, and Fiddler. We covered a variety of subjects including: how to build...
Friday’s TWIMLcon Executive Summit closed out a full first week at the conference! Speakers from BP, Walmart, Accenture, Qualcomm, Orangetheory Fitness, and more shared their experiences and insights on key issues faced by AI/ML leaders and teams. The day began with a keynote interview featuring Franziska Bell, VP of Data and Analytics at BP. Fran...
Day 3 of TWIMLcon 2012: AI Platforms was all about how to get models from development to production reliably and consistently by using modern MLOps tools and platforms. (The conference started Tuesday and runs through Friday, January 29th. It’s not too late to join in! Use discount code GREATCONTENT for 25% off registration.) David Hershey,...
Day 2 (of 8!) of TWIMLcon: AI Platforms 2021 was a day of sharing hard-earned lessons. (The conference started yesterday and runs through January 29, 2021. It’s not too late to join in! Use discount code GREATCONTENT for 25% off registration.) We kicked off the day interviewing Faisal Saddiqi, Director of Engineering for Personalization Infrastructure...
We had a solid kick-off today at TWIMLcon 2021: AI Platforms. The conference started today and runs through January 29, 2021. It’s not too late to join in! Use discount code GREATCONTENT for 25% off registration. We started off the day talking to Solmaz Shahalizadeh, VP of Commerce Intelligence, at Shopify. During her time there,...
In spite of all the hype, the reality is that the typical enterprise doesn’t need to do anything different to benefit from AI. They won’t need to hire data scientists, or collect any training data, or build any machine learning or deep learning models. It is already the case, and it will be increasingly true...
We have a TON of practical presentations coming your way from companies like Google, Spotify, and Intuit – and we’re so excited about these keynotes we just announced!  Keynote Interview with Solmaz Shahalizadeh of Shopify Solmaz is the Vice President of Data Science & Engineering at Shopify. During her time at the company she implemented...
What a start to week two of TWIMLcon 2021! Today’s sessions featured speakers from WikiMedia, Prosus Group, Palo Alto Networks, Clorox, Dataiku, Janssen Pharmaceutical Companies, iRobot, Algorithmia, and ClearML sharing their thoughts on building and running data science and ML platforms. We also got an overview of major themes and trends in machine learning for...