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The Power of Cross Community Collaboration

Автор: AI Council

Загружено: 2023-05-11

Просмотров: 83

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ABOUT THE TALK:
Do you want to expand your reach, gain credibility, and enhance the value of an open-source product & community? Whether you’re building a community around your own product or are an individual contributor looking for ways to contribute to your favorite OSS project, it’s time to focus on cross-community partnerships!

In this talk, Kyle Eaton and Maggie Hays detail the core tenants of an effective partnership, including effective co-product development & marketing, leveraging expertise within your community, measuring success, and pitfalls to avoid. Learn what makes for an effective partnership and a roadmap for getting started.

ABOUT THE SPEAKERS:
Kyle Eaton is the Growth Lead at Great Expectations. While at Great Expectations, Kyle scaled the Great Expectations community from 0 to 9000+ Slack users, pioneered the Developer Relations team, and led the initiative for data ecosystem partnerships. Prior to Great Expectations, Kyle has played the role of Lead UX Designer in health care, finance, and travel for just nearly a decade.

Maggie Hays is the Community Product Manager for DataHub and part of the Founding Team at Acryl Data. She is passionate about building resources that allow data to be accessible, intuitive, and impactful for a wide spectrum of end-users so organizations can fully realize the power of data-backed decisions.

ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL:
Twitter:   / datacouncilai  
LinkedIn:   / datacouncil-ai  

The Power of Cross Community Collaboration

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