Data products, data contracts, data mesh, data fabric — sometimes it feels like the data world has turned into a buzzword bingo game. If you’re tired of overcomplicating things, this talk is for you. In “The Honest No-BS on Data Products” we’ll cut through the jargon and demystify what a data product really is and contrast it with analytic products and AI products. We’ll learn the "data product ABCs," see how they fit into data governance and modern data architectures, and compare them to traditional data management approaches. We’ll discuss best practices for being a data product manager, whether that’s your title or often not, and data product management writ large.

To make it real, we’ll also look at real-world examples of data products and organizations that have simplified their data strategies with great success, pointing out common pitfalls to avoid when building and maintaining data products, and driving their adoption. Most importantly, we’ll discuss where things can go off the rails so you can embrace the KISS principle.

• Demystifying Data Products: What data products are (and aren’t) — the “data product ABCs” explained.
• Data Products vs. Analytic and AI Products: Key differences and why it matters for your strategy.
• Practical Data Product Management: Best practices, common pitfalls, and the role of a data product manager (title or not).
• Real-World Examples, Success Stories, and Lessons Learned.
• Keeping It Simple: Embracing the KISS principle to avoid overcomplicating and focus on driving adoption.

Speaker: Tim Gasper

Tim Gasper is the Chief Customer and Product Officer at data.world, where he leads product, design, customer success, and services for the modern data catalog company. Tim is also a co-host of the popular data podcast, Catalog & Cocktails. Before joining data.world, Tim co-founded Opulent AI, a company focused on leveraging artificial intelligence and advanced automation. Tim has over 15 years of product management and product marketing experience across software, SaaS, and AI and analytics products, and is a writer and speaker on entrepreneurship, lean startup methodology, and big data analytics.

Speaker: Juan Sequeda

Juan F. Sequeda is the Principal Scientist at data.world. He joined through the acquisition of Capsenta, a company he founded as a spin-off from his research. He holds a PhD in Computer Science from The University of Texas at Austin. 

Juan is the recipient of the NSF Graduate Research Fellowship, received 2nd Place in the 2013 Semantic Web Challenge for his work on ConstituteProject.org, Best Student Research Paper at the 2014 International Semantic Web Conference, and the 2015 Best Transfer and Innovation Project awarded by the Institute for Applied Informatics. Juan is on the Editorial Board of the Journal of Web Semantics and a member of multiple program committees (ISWC, ESWC, WWW, AAAI, IJCAI). He was the General Chair of AMW2018, PC chair of ISWC 2017 In-Use track, and co-creator of the COLD workshop (7 years co-located at ISWC). He has served as a bridge between academia and industry as the current chair of the Property Graph Schema Working Group, a member of the Graph Query Languages task force of the Linked Data Benchmark Council (LDBC), and a past invited expert member and standards editor at the World Wide Web Consortium (W3C). 

Wearing his scientific hat, Juan's goal is to reliably create knowledge from inscrutable data. His research interests are on the intersection of Logic and Data for (ontology-based) data integration and semantic/graph data management, and what now is called Knowledge Graphs. Wearing his business hat, Juan is a product manager, does business development and strategy, technical sales and works with customers to understand their problems to translated back to R&D.