Knowledge Cast – Bridging Knowledge, Data, and AI by Zach Wahl, Joe Hilger, and Lulit Tesfaye

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 … Continue reading

What Are Explainable AI Knowledge Portals and Why Do You Need Them?

Knowledge Portals first came into prominence in the early 2000s. These initial portals were a collection of static links to information on everything from HR systems to company policies and communications. It was a single location to access the systems … Continue reading

Generating Structured Outputs from Unstructured Content Using LLMs

Long, unstructured documents can be difficult to find, manage, and work with for both people and AI. A clear structure is essential for transforming and dividing disorganized content into smaller, usable, and more valuable information assets. A well-formed content structure … Continue reading

Knowledge Cast – Michal Bachman, CEO of GraphAware

Enterprise Knowledge COO Joe Hilger speaks with Michal Bachman, CEO at GraphAware. GraphAware provides technology and expertise for mission-critical graph analytics, and its graph-powered intelligence analysis platform — Hume — is used by democratic government agencies (law enforcement, intelligence, cybersecurity, … Continue reading

Knowledge Cast – Amy Hodler, Founder & Executive Director of GraphGeeks

Enterprise Knowledge COO Joe Hilger speaks with Amy Hodler, Founder and Executive Director of GraphGeeks. GraphGeeks is a global community for data enthusiasts, researchers, and professionals passionate about graph technology. In their conversation, Joe and Amy discuss interesting use cases … Continue reading

Inside the Unified Entitlements Architecture

Today’s enterprises face a perfect storm in data access governance. The shift to cloud-native architectures has created a sprawling landscape of data sources, each with its own security model. For example, a typical enterprise might store customer data in Snowflake, … Continue reading