Content related to Knowledge Cast – Ahren Lehnert at Nike
Knowledge Cast – Jonathan Gordon-Till, Global Knowledge Management Lead of R&D at Mondelēz International
Enterprise Knowledge CEO Zach Wahl speaks with Jonathan Gordon-Till, Global Knowledge Management Lead of R&D at Mondelēz International. Jonathan has spent almost 4 decades in the KM profession, witnessing acquisitions, demergers, and the emergence of new information technologies through roles … Continue reading
A Practical Guide to an Intranet Remodel: Small Taxonomy Wins for a Big Impact
The world of knowledge management is moving at a fast pace and it is challenging to keep up with trends that often demand investing in the latest tooling to solve increasingly complex semantic challenges. However, for many organizations, particularly non-profits, … Continue reading
Ontology and Knowledge Graph in the Age of AI and Agents
As organizations accelerate investments in AI, semantic data models, advanced analytics, and agentic transformation, lots of jargon gets thrown around, and this sometimes results in confusion about how data driven systems work. In the realm of semantic layers, one of … Continue reading
Knowledge Cast – Dave Boland, Chief Knowledge & Innovation Officer (CKIO) at Ogletree Deakins
Enterprise Knowledge CEO Zach Wahl speaks with Dave Boland, Chief Knowledge & Innovation Officer (CKIO) at Ogletree Deakins. With 25+ years of experience in the field, Dave is a people-first leader in KM and digital transformation with the proven ability … Continue reading
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
Why AI Projects Fail Without a Common Language: The Case for Taxonomy Standards
As organizations rush to adopt AI solutions and technologies, the necessary structures to support such solutions are often overlooked. Gartner predicts that by 2026, 63% of organizations will not have the right data management practices for AI. This gap shows … Continue reading
How to Scale a Semantic Layer with Interoperable Ontologies
A Semantic Layer is the framework for connecting data from multiple sources and formats in both a human- and machine-readable way that enables organizations to understand the meaning of their data, extract contextualized information, and discover new insights. A key … Continue reading
A Practical Guide to a Taxonomy Remodel
For anyone who has undertaken any form of home remodel or loves to watch television shows featuring them, the general phases of a home renovation are familiar: visualizing the target state of the remodeled home, carrying out structural work, demolition, … Continue reading
Taxonomies vs. Ontologies for Enabling AI-Readiness
AI solutions need to be grounded in an organization’s context. It is difficult to reliably distill context from the entirety of an organization’s knowledge assets, including facts, documents, datasets, and other structured records. Without a specific directive on what matters … Continue reading
Knowledge Cast – Aman Bhatnagar, Director of Global Knowledge Management at JLL
Enterprise Knowledge CEO Zach Wahl speaks with Aman Bhatnagar, Director of Global Knowledge Management at JLL. With over 18 years of leadership in KM, strategic planning, and content strategy, Aman leverages data analytics to optimize processes and implement innovative solutions … Continue reading