What Business Stakeholders Want to See from the ML Teams // Peter Guagenti // MLOps Podcast
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 Published On Apr 2, 2024

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Huge thank you to @amazonwebservices for sponsoring this episode. AWS - https://aws.amazon.com/

MLOps podcast #222 with Peter Guagenti, President & CMO of Tabnine @Codota-Tabnine - What Business Stakeholders Want to See from the ML Teams.

// Abstract
Peter Guagenti shares his expertise in the tech industry, discussing topics from managing large-scale tech legacy applications and data experimentation to the evolution of the Internet. He returns to his history of building and transforming businesses, such as his work in the early 90s for People magazine's website and his current involvement in AI development for software companies. Guagenti discusses the use of predictive modeling in customer management and emphasizes the importance of re-architecting solutions to fit customer needs.

He also delves deeper into the AI tools' effectiveness in software development and the value of maintaining privacy. Guagenti sees a bright future in AI democratization and shares his company's development of AI coding assistants. Discussing successful entrepreneurship, Guagenti highlights balancing technology and go-to-market strategies and the value of failing fast.

// Bio
Peter Guagenti is the President and Chief Marketing Officer at Tabnine. Guagenti is an accomplished business leader and entrepreneur with expertise in strategy, product development, marketing, sales, and operations. He most recently served as chief marketing officer at Cockroach Labs, and he previously held leadership positions at SingleStore, NGINX (acquired by F5 Networks), and Acquia (acquired by Vista Equity Partners). Guagenti also serves as an advisor to a number of visionary AI and data companies including DragonflyDB, Memgraph, and Treeverse.

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https://mlops.pallet.xyz/jobs

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// Related Links
AI Quality in Person Conference: https://www.aiqualityconference.com/
Measuring the impact of GitHub Copilot Survey: https://resources.github.com/learn/pa...
AWS Trainium and Inferentia:
https://aws.amazon.com/machine-learni...
https://aws.amazon.com/machine-learni...
AI coding assistants: 8 features enterprises should seek: https://www.infoworld.com/article/369...
Careers at Tabnine: https://www.tabnine.com/careers

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Connect with Demetrios on LinkedIn:   / dpbrinkm  
Connect with Peter on LinkedIn:   / peterguagenti  

Timestamps:
[00:00] Peter's preferred coffee
[00:16] Takeaways
[04:22] How to asses GitHub Copilot’s Impact Survey
[05:04] Please like, share, leave a review, and subscribe to our MLOps channels!
[05:24] Sponsored skateboarder
[07:13] Peter's Entrepreneurship background
[10:07] Building websites in the early internet days
[13:55] Tips and tricks to selling companies
[18:32] Foundational Theory of Successful Startups
[23:30] Balancing product and marketing
[29:55] Initial resistance
[31:53] AWS Trainium and Inferentia ad
[33:20] Business dealings with data teams
[41:10] "Data is not insight, insight is not action."
[45:37] Interrogation of Data
[53:33] Refining ICPs through Segmentation
[55:52] Coding Assistant Expands Capabilities
[1:02:41] Privacy and Data Ethics
[1:07:48] AI coding Assistants: 8 Features Enterprises Should Seek Paper
[1:12:36] Senior Devs Critical Evaluation
[1:15:34] Dev Marketing Insights
[1:20:28] Tabnine is hiring!
[1:21:00] Wrap up

#ai #machinelearning #marketing

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