Leveraging Institutional Knowledge to Improve AI Success

  In an age where organizations are seeking competitive advantages from new technologies, having high-quality knowledge readily available for use by both humans and AI solutions is an imperative. Organizations are making large investments in deploying AI. However, many are … Continue reading

Understanding the Role of Knowledge Intelligence in the CRISP-DM Framework: A Guide for Data Science Projects

In today’s rapidly advancing field of data science, where new technologies and methods continuously emerge, it’s essential to have a structured approach to navigate the complexities of data mining and analysis. The CRISP-DM framework–short for Cross-Industry Standard Process for Data … Continue reading

What are the Different Types of Graphs? The Most Common Misconceptions and Understanding Their Applications

Over 80% of enterprise data remains unstructured, and with the rise of artificial intelligence (AI), traditional relational databases are becoming less effective at capturing the richness of organizational knowledge assets, institutional knowledge, and interconnected data. In modern enterprise data solutions, … Continue reading

From Enterprise GenAI to Knowledge Intelligence: How to Take LLMs from Child’s Play to the Enterprise

In today’s world, it would almost be an understatement to say that every organization wants to utilize generative AI (GenAI) in some part of their business processes. However, key decision-makers are often unclear on what these technologies can do for … Continue reading

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

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

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