In this episode of Experiencing Data, I speak with Ellen Chisa, Partner at BoldStart Ventures, about what she’s seeing in the venture capital space around AI-driven products and companies—particularly with all the new GenAI capabilities that have emerged in the last year. Ellen and I first met when we were both engaged in travel tech startups in Boston over a decade ago, so it was great to get her current perspective being on the “other side” of products and companies working as a VC. Ellen draws on her experience in product management and design to discuss how AI could democratize software creation and streamline backend coding, design integration, and analytics. We also delve into her work at Dark and the future prospects for developer tools and SaaS platforms. Given Ellen’s background in product management, human-centered design, and now VC, I thought she would have a lot to share—and she did!
Highlights/ Skip to:023 - Balancing AI-Driven Automation with Human Intervention When Designing Complex Systems with Dr. Murray Cantor
022 - Creating a Trusted Data Science Team That Is Indispensable to the Business with
021 - Turning Complex Cloud IT Data Into Useful Decision Support Info with John Purcell of
020 - How Human-Centered Design Increases Engagement with Data Science Initiatives
019 - The Non-Technical (Human!) Challenges that Can Impede Great Data Science Solutions
018 - The Business Value of Showing the “Why” in AI Models with Jana Eggers (CEO, Naralogics)
017 - John Cutler on Productizing Storytelling Measuring What Matters & Analytics Product Management
016 - Farming with Data: How Advanced Analytics are Transforming the Agriculture Industry with Dinu Ajikutra
015 – Opportunities and Challenges When Designing IoT Analytics Experiences for the Industrial & Manufacturing Industries with CEO Bill Bither
014 - How Worthington Industries Makes Predictive Analytics Useful from the Steel Mill Floor to the Corner Office with Dr. Stephen Bartos
013 - Paul Mattal (Dir. of Network Systems, Akamai) on designing decision support tools and analytics services for the largest CDN on the web
012 - Dr. Andrey Sharapov (Data Scientist, Lidl) on explainable AI and demystifying predictions from machine learning models for better user experienc...
011 - Gadi Oren (VP Product, LogicMonitor) on analytics for monitoring applications and looking at declarative analytics as “opinions”
010 - Carl Hoffman (CEO, Basis Technology) on text analytics, NLP, entity resolution, and why exact match search is stupid
009 - Nancy Hensley (Chief Digital Officer, IBM Analytics) on the role of design and UX in modernizing analytics tools as old as 50 years
008 - Dr. Puneet Batra (Assoc. Director, Machine Learning at Broad Institute of MIT and Harvard) on aligning data science with biz objectives, user re...
007 -Jim Psota (CTO & Co-Founder, Panjiva/S&P Global) on designing a meaningful SAAS analytics product for the global supply chain
006 - Julien Benatar (PM for Pandora's data service, Next Big Sound) on analytics for musicians, record labels and performing artists
005 - Jason Krantz (Dir. of Biz Analytics/Insights, Weil-McClain) on centering analytics around internal customers
004 - Vinay Seth Mohta (CEO, Manifold) on Lean AI and machine learning for enterprise data products
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