Building AI Systems, Not Just Models: Lessons from Netflix and Beyond
Join us for the next Data Dialogues session, featuring Savin Goyal, CTO and Co-founder of Outerbounds, who co-led machine learning infrastructure at Netflix and built Metaflow, a platform now used by hundreds of companies. Savin has worked closely with hundreds of organizations to help them build out their data, ML, and AI functionalities. The Metaflow team has also built a thriving community of thousands of data scientists from companies around the world, including those in the Enterprise 100.
The future of AI depends not just on building models, but on creating robust, scalable systems that enable rapid experimentation and deployment. This session with Savin will provide practical strategies from real-world experience, with a focus on infrastructure design, system modularity, and the challenges of AI engineering.
Topics:
Building AI Systems, Not Models: Savin will share his insights on moving beyond model-building to creating AI systems that support scalability, flexibility, and productivity, drawing from his work with Netflix and Outerbounds.
Developer Productivity and Infrastructure: Learn how optimized infrastructure and the right tools can dramatically increase developer productivity, allowing data scientists to focus on experimentation and innovation. Savin will discuss tools and strategies that help shift teams from one experiment per month to thousands.
Generative AI Trends: As generative AI continues to evolve, what separates hype from real-world utility? Explore the most impactful use cases of generative AI in large enterprises and how it can be integrated into existing AI systems.
Modularity and Composability in AI Systems: As AI systems grow more complex, the ability to easily swap between models and APIs becomes crucial. Savin will discuss how composability and modularity help build systems that adapt to rapid changes in AI technology.
Who Should Attend:
Data Science Directors | Principal Data Scientists | ML Engineering Leaders | AI Strategy Decision Makers | Tech Executives
What to Expect:
A practical discussion on the challenges of building scalable AI systems.
Actionable insights into increasing developer productivity through better infrastructure.
Hands-on advice for integrating generative AI into established workflows and platforms.
Interactive Q&A sessions designed to provide specific takeaways for your own AI initiatives.
Attendance:
To encourage candid discussion, this session will be unrecorded and operate under Chatham House Rules. Approved participants will receive confirmation with event details.
Featured Speaker:
Savin Goyal is the CTO and Co-founder of Outerbounds, where he leads the development of tools that empower data scientists to build AI systems at scale. Previously, he co-led machine learning infrastructure at Netflix, where he built Metaflow, a platform used by hundreds of companies and supported by a community of thousands of data scientists.
Your Hosts:
Duncan Gilchrist is an entrepreneur and data scientist passionate about making data and AI work for businesses and for the world. He was previously Director of Data Science for Uber Eats Marketplace and VP Data Science and Engineering at Gopuff.
Hugo Bowne-Anderson is a data science and AI consultant, formerly of Outerbounds and Coiled. He is the host of the Vanishing Gradients podcast and has helped over 3 million learners worldwide through his courses on DataCamp.