Hidden Complexity of NLP/ML Products by Denis Kulyk, Product Manager at Grammarly
Channel: Product People
Date: 2022-10-04

This talk combines lessons learned from launching a popular feature in the Grammarly Editor that lets our users accept multiple suggestions at once. The talk focuses on necessary PM skills and typical team stages that each NLP/ML product goes through, from early idea to full availability for users. It covers a case study with one of our popular features as an example of how NLP/ML products are built.

Denys is responsible for the Grammarly Editor and internal tools that focus on engineering productivity for front-end teams. Outside of work, he writes and illustrates the newsletter Digital Hygiene, which is on the topic of having a healthy relationship with technology.
More about the speaker: https://www.linkedin.com/in/kulykdenys/

 Schedule (CET)
18:30 - 18:35 Intros
18:35 - 19:30 Presentation and Q&A

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We are on a mission to help companies discover and deliver great products faster. We do this by empowering our community to share knowledge generously. And through our consulting engagements, we do all the hands-on and unglamorous work of a Product Manager on an Interim basis (3-12 months). We onboard fast, align teams, and deliver outcomes. 

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