Explore a comprehensive podcast episode featuring Peter Guagenti, President & CMO of Tabnine, discussing what business stakeholders expect from ML teams. Gain insights into managing large-scale tech legacy applications, data experimentation, and the evolution of the Internet. Learn about Guagenti's experience in building and transforming businesses, from his early work on People magazine's website to his current involvement in AI development for software companies. Discover the use of predictive modeling in customer management and the importance of re-architecting solutions to meet customer needs. Delve into the effectiveness of AI tools in software development, the value of maintaining privacy, and the future of AI democratization. Understand the balance between technology and go-to-market strategies in successful entrepreneurship, and the importance of failing fast. Gain valuable perspectives on various topics including GitHub Copilot's impact, AWS Trainium and Inferentia, and essential features for AI coding assistants in enterprises.
What Business Stakeholders Want to See from ML Teams
Overview
Syllabus
[] Peter's preferred coffee
[] Takeaways
[] How to asses GitHub Copilot’s Impact Survey
[] Please like, share, leave a review, and subscribe to our MLOps channels!
[] Sponsored skateboarder
[] Peter's Entrepreneurship background
[] Building websites in the early internet days
[] Tips and tricks to selling companies
[] Foundational Theory of Successful Startups
[] Balancing product and marketing
[] Initial resistance
[] AWS Trainium and Inferentia ad
[] Business dealings with data teams
[] "Data is not insight, insight is not action."
[] Interrogation of Data
[] Refining ICPs through Segmentation
[] Coding Assistant Expands Capabilities
[] Privacy and Data Ethics
[] AI coding Assistants: 8 Features Enterprises Should Seek Paper
[] Senior Devs Critical Evaluation
[] Dev Marketing Insights
[] Tabnine is hiring!
[] Wrap up
Taught by
MLOps.community
