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In this special episode of Knowledge Cast, Zach, Joe, and Lulit pass the mic to Senzing's Paco Nathan, who interviews them about their new book Bridging Knowledge, Data, and AI: Harnessing the Semantic Layer Framework to Drive Intelligence.
Paco guides the conversation with Zach, Joe, and Lulit from introducing the book and the term "knowledge assets," to sharing stories about implementing semantic layers alongside EK's real clients, to walking through how this book was conceived -- pre-AI revolution -- all the way back in 2023. The trio also discusses the critical role of the semantic layer in both powering AI and preparing for future use cases and solutions you might not even know about yet, and outlines the benefits of a transparent "glass box" AI solution over the "black box" solutions that many proprietary products promise can blindly "do everything."
EK's upcoming, third-annual Semantic Layer Symposium in Vienna will showcase organizations like Morgan Stanley, Adobe, ASML, and Roche Pharmaceuticals, demonstrating real-world use cases, actionable strategies, and proven paths to delivering measurable value.
Bridging Knowledge, Data, and AI is now available to purchase on Amazon.
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For more on Senzing, check them out here: https://senzing.com/
Listen to Paco's episode of Knowledge Cast here: https://enterprise-knowledge.com/knowledge-cast-paco-nathan-principal-devrel-engineer-at-senzing/
Check out the white papers mentioned during the episode here:
- "AI Skill Flip"" by Sheamus McGovern: https://www.amazon.com/AI-Skill-Flip-Professionals-Reinventing-ebook/dp/B0GTXFNXN8 (Mini-book describing a definition of AI as teamwork among people and machines)
- "Homo Semanticus" by Jonas Gebendorfer: https://www.researchgate.net/publication/402905044_Homo_Semanticus_Meaning-Holding_as_an_Anthropological_and_Technical_Threshold (Article providing quantifications for "semantic maturity" in an organization, somewhat controversially)
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To learn more about Enterprise Knowledge, visit us at: enterprise-knowledge.com.
EK's Knowledge Base: https://enterprise-knowledge.com/knowledge-base/
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