Content related to Why Your Enterprise AI Projects Need a Product Manager
Top Knowledge Management Trends – 2025
The field of Knowledge Management continues to experience a period of rapid evolution, and with it, growing opportunity to redefine value and reorient decision-makers and stakeholders toward the business value the field offers. With the nature of work continuing to … Continue reading
A Guide to Selecting the Right Auto-Tagging Approach
Auto-tagging processes automate the manual labor of applying relevant keyword tags to data and content, enhancing accessibility and improving the organization of large datasets. Whether you’re trying to improve how quickly you find data or embarking on a content cleanup … Continue reading
Enhancing Retail Performance with Semantic Layer As an Enabler for Data and Analytics Teams
Enterprise Knowledge is working with a multinational bank to enable their risk-assessing processes by using semantics and connected data. Heavily regulated financial services firms require comprehensive and complex risk management. This requires employees to thoroughly account for risk and report it in detail to regulators. Continue reading
Butterfly Effect: Taxonomy and Ontology as AI Catalysts in Enterprise Learning
Organizations understand the importance of leveraging AI to stay competitive in the evolving technological landscape, but do not always know how to get started. In their talk at Taxonomy Boot Camp 2024 in Washington, D.C., Tatiana Baquero Cakici and Sara … Continue reading
Knowledge Cast Product Spotlight – Graphwise
Enterprise Knowledge COO Joe Hilger speaks with Naso Kiryakov and Andreas Blumauer, who discuss the recent merger of two prominent companies in the semantic web space, Semantic Web Company and Ontotext, now operating as Graphwise. They highlight the strategic reasons … Continue reading
A Semantic Layer to Enable Risk Management at a Multinational Bank
Enterprise Knowledge is working with a multinational bank to enable their risk-assessing processes by using semantics and connected data. Heavily regulated financial services firms require comprehensive and complex risk management. This requires employees to thoroughly account for risk and report it in detail to regulators. Continue reading
From Artificial Intelligence to Knowledge Intelligence
Much of the dialogue in our industry has been dominated by Artificial Intelligence (AI) and what that means to the fields of Knowledge Management, Data Management, and Content Management. At EK, we’ve been witnessing firsthand the impact of the “AI … Continue reading
Out of Many, One: Building a Semantic Layer to Tear Down Knowledge Silos
Guillermo Galdamez, Principal Consultant, and Nina Spoelker, Consultant, jointly delivered a presentation titled ‘Out of Many, One: Building a Semantic Layer to Tear Down Silos’ at the 2024 edition of LavaCon. Guillermo and Nina provided practical, proven guidance on how … Continue reading
User-Centered Information Architecture Strategy for a Leading Nonprofit Organization
Staff at one of the largest charitable nonprofit organizations in the U.S. faced challenges locating information, which led to a dependence on personal networks to find expertise. This issue was compounded by the organization’s two information platforms, which had overlapping functions and purposes. The lack of clarity about where to find specific resources created uncertainty… Continue reading
Webinar: Knowledge Capture and Knowledge Transfer in the Age of AI
In this webinar, Enterprise Knowledge’s CEO and founder Zach Wahl moderates a conversation with KM experts Jessica DeMay, Guillermo Galdamez, Madeleine Powell, and Nina Spoelker to discuss how emerging AI technologies have rekindled interest in practices grounded on the ‘softer’ … Continue reading