
Earley AI Podcast
In this podcast hosts Seth Earley & Chris Featherstone invite a broad array of thought leaders and practitioners to talk about what's possible in artificial intelligence as well as what is practical in the space as we move toward a world where AI is embedded in all aspects of our personal and professional lives. They explore what's emerging in technology, data science, and enterprise applications for artificial intelligence and machine learning and how to get from early stage AI projects to fully mature applications.Seth is founder & CEO of Earley Information Science and the award winning author of "The AI Powered Enterprise." Chris is a technology executive and strategist interested in how AI and Machine Learning will enable next generation customer and workforce engagement..
Earley AI Podcast
Incentivizing Technology - Juan Sequeda - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 024
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Seth Earley & Chris Featherstone
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Season 1
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Episode 24
Today’s guest is Juan Sequeda, Principal Scientist at data.world and Co-Host of the Catalog & Cocktails Podcast. Juan joins Seth Earley and Chris Featherstone and shares how to understand the problem that you are trying to solve. Juan also discusses how your company's success should be defined differently. Don’t focus on just on saving money to make money. Focus on solving a problem. Juan also shares valuable advice on how understanding who you report to helps you speak the same language.
Takeaways:
- Juan believes the market is immature when it comes to what they want or what they think they want. This is where data catalogs become important so that companies can locate information.
- From the perspective of the data management world, it’s focused on only technology. The problems that they had been trying to solve 30 years ago continue to be the same problems they’ve been trying to solve.
- If you are on the technical side of your business, it is important to understand who you should be reporting to. Understanding this early on will help you tailor information to meet the correct outcome.
- Juan’s definition of a knowledge graph is representing real-world concepts and the relationships between those real-world concepts end up forming a graph. The reason why the graph is really valuable is because you can integrate data coming from many diverse sources.
Quote of the Show:
“Keep working on the same vision.” (07:50)
Links:
- Website
- Podcast: Catalog & Cocktails presented by data.world
- Juan’s Portfolio
- Book: Integrating Relational Databases with the Semantic Web
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