Sam Charrington

Sam Charrington

Founder
TWIML

Sam is a noted ML/AI industry analyst, advisor and commentator, founder of TWIML, and host of the popular TWIML AI Podcast. The show is one of the most popular Tech podcasts with nearly 10 million downloads. Sam has interviewed over 400 of the industry’s leading machine learning and AI experts. In addition, he has conducted extensive research into enterprise AI adoption, MLOps, emerging ML and AI platforms, and other enabling technologies.

Keynote Interview: Solmaz Shahalizadeh
Tuesday, January 19 | 
09:00 AM - 
10:00 AM

Solmaz is the Vice President of Data Science & Engineering at Shopify. During her time at the company, she implemented the company’s first ML products, built their financial data warehouse, led multiple cross-functional teams, and played a critical role in their IPO. In this keynote interview, Sam and Solmaz will discuss how she’s helped the company scale its use of machine learning and how that has helped power the company’s growth.

Keynote Interview: Faisal Siddiqi
Wednesday, January 20 | 
09:00 AM - 
10:00 AM

Faisal is the Director of Engineering for Personalization Infrastructure at Netflix, where he runs multiple teams delivering large-scale ML infrastructure to support the company’s personalization research and systems. The teams he runs currently support model development, model tools and data, and model serving. At TWIMLcon, Faisal and Sam will discuss lessons learned building Netflix’s large-scale personalization infrastructure.

Executive Summit Keynote: How to Ensure ML Project Success
Friday, January 22 | 
09:00 AM - 
09:45 AM

With the recent explosion in machine learning & AI initiatives across all industries, one of the biggest challenges executives face is ensuring project success. Far too often precious resources are wasted on projects that fail to generate value, don’t get off the ground quickly enough, are not adequately resourced, or are quickly rendered obsolete as the business and its customers evolve.

This keynote interview will explore the reasons for these failures and best practices for successfully launching and deploying ML & AI solutions for the enterprise.

Keynote Interview: Chris Albon
Tuesday, January 26 | 
09:00 AM - 
10:00 AM

Chris Albon joined the Wikimedia Foundation in 2020 as director of machine learning with a mandate to empower the teams producing models for Wikipedia to move more quickly. In this interview, Sam and Chris discuss ML use cases at Wikimedia, the evolution of the organization’s ML infrastructure, their use of Kubernetes and Kubeflow to support the ML workflow, and their ultimate plans to make this infrastructure available to the broader Wikimedia community.

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