Successful AI initiatives begin with well-managed information. Whether designing taxonomies and ontologies, optimizing product information management, or enhancing enterprise search and personalization, we build intelligent frameworks that enable advanced analytics, machine learning, and generative AI applications.
Seth Earley //
07 Jul 2025
Our foundational success stems from bridging knowledge, information, and data management, enabling us to deliver highly functional and reliable semantic layer and AI initiatives for our clients.
Lulit Tesfaye //
07 Jul 2025
What sets Evalueserve apart is its conviction that AI alone isn't enough. True transformation happens when AI is contextualized by industry knowledge and operationalized through managed services. Co-created with clients, Evalueserve's AI-enhanced workflows automate tasks, surface deeper insights, and amplify decision-making.
Satyajit Saja //
07 Jul 2025
As the AI landscape evolves, Lucidworks continues to lead the way in human-centered, responsible AI—focused not on hype, buton delivering trusted, transparent, and high-performing solutions that help companies grow with confidence.
Michael Sinoway //
07 Jul 2025
By promoting cross-departmental collaboration and alignment, organizations can ensure a seamless and consistent customer experience across all channels.
Todd Tierney //
12 May 2025
The manufacturing sector is at a crossroads. While investments in new technologies and infrastructure are essential, they must also be utilized to preserve and share institutional knowledge. By adopting a comprehensive KM strategy that includes centralized data management, digital innovation, and a culture of knowledge sharing, manufacturers can safeguard their expertise and secure long-term success.
Yushiro Kato //
10 Mar 2025
AI continues to disrupt the knowledge management space and experts in the field predict that it's a trend that still hasn't reached its full potential, yet. In 2025 there's more room for improvement.
Stephanie Simone //
06 Dec 2024
One thing is clear: The widespread adoption of GenAI will not lead to fewer knowledge jobs, but rather, it will pave the way for their growth and evolution.
Egor Kraev //
04 Nov 2024
History tells us that industrial revolutions ultimately do create more jobs, but that the transition period is long and highly turbulent. Thus, when we see resistance in the workplace to AI and automation in general, we should acknowledge that the resistance and fear are well-grounded.
Alan Pelz-Sharpe //
12 May 2025
There are 195 countries in the world. How many more entrepreneurial innovation hotspots are out there, waiting to be tapped and awakened? In our high-tech, virtual world, all of the steps Pakistan has taken can be replicated virtually anywhere, regardless of your country's size, GDP, or location. Imagine the possibilities ...
Art Murray, D.Sc. //
06 Jan 2025
While process mining started years ago as a mainly data-driven exercise, its stated goal is to be knowledge-driven. Given KM's multidisciplinary scope, we can play a major role in achieving that goal. Any process, no matter how simple, has the potential to reach across an entire business ecosystem, including all stakeholders. This seems like a perfect match for collaborative workflow, AI/ML, knowledge graphs, human sensemaking, and many of the other arrows in our KM quiver.
Art Murray, D.Sc. //
09 Sep 2024
The third place I alluded to goes far beyond mechanistic KM or curated knowledge and takes us into the actual world of tacit knowledge. Here, knowledge comes from and often remains as personal experience, impressions, and intuition; it's undocumented and often hidden and elusive.
Alan Pelz-Sharpe //
02 May 2024