Enterprise AI Architecture Series: How to Extract Knowledge from Unstructured Content (Part 2)
Our CEO, Zach Wahl, recently noted in his annual KM trends blog for 2025 that Knowledge Management (KM) and Artificial Intelligence (AI) are really two sides of the same coin, detailing this idea further in his seminal blog introducing the … Continue reading
Why Your Organization Needs Unified Entitlements
Successful semantic solutions and knowledge management initiatives help the right people see the right information at the right time. When properly implemented, knowledge workers have the knowledge they need to make the best decisions for their organization. The good news … Continue reading
Metadata Within the Semantic Layer
As a standardized framework for connecting organizational assets, a Semantic Layer captures organizational knowledge and domain meaning to support connecting and coordinating assets across systems and repositories. Metadata, as one component of a Semantic Layer approach, is foundational. Whether you … Continue reading
Enterprise AI Architecture Series: How to Build a Knowledge Intelligence Architecture (Part 1)
Since the launch of ChatGPT over two years ago, we have observed that our clients are increasingly drawn to the promise of AI. They also recognize that the large language models (LLMs), trained on public data sets, may not effectively … Continue reading
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
Why Graph Implementations Fail (Early Signs & Successes)
Organizations continue to invest heavily in efforts to unify institutional knowledge and data from multiple sources. This typically involves copying data between systems or consolidating it into a new physical location such as data lakes, warehouses, and data marts. With … Continue reading
Enhancing Retail Performance with Semantic Layer As an Enabler for Data and Analytics Teams
In the fast-paced retail sector, organizations need to be able to quickly view store performance analytics in order to make crucial decisions. A leading global retail chain faced significant delays of up to 5-6 weeks when attempting to retrieve essential store performance metrics and create reports for executive leadership. This bottleneck was largely due to … Continue reading
Semantic Layer Symposium – Norbert Gergely
Earlier this year, the Semantic Layer Symposium in Munich brought together industry leaders, data scientists, and Knowledge Management (KM) experts to explore cutting-edge developments in data integration and AI-driven insights. This groundbreaking event fostered lively discussions on the future of … 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
Semantic Layer Symposium – Tiankai Feng
Earlier this year, the Semantic Layer Symposium in Munich brought together industry leaders, data scientists, and Knowledge Management (KM) experts to explore cutting-edge developments in data integration and AI-driven insights. This groundbreaking event fostered lively discussions on the future of … Continue reading