Putting the ‘human’ in ‘human-in-the-loop’ at KM & AI Summit 2025

Kim Glover, Director, Communications Change Management, TechnipFMC, will lead two sessions at this year's KM & AI Summit—'Cooking With KM: Knowledge Sharing & Building Skills,'"and "Storytelling for Collaboration & Change"—exploring how "human-in-the-loop" concepts reflect and affirm the broader purpose of AI, technology, and KM itself.

KMWorld 100 Companies That Matter in Knowledge Management 2025

The importance of innovation and creativity in KM cannot be overstated. In many respects, AI and other emerging technologies have cemented the importance of KM within organizations, making KM a "must have" rather than a "nice-to-have" vehicle for knowledge sharing and organizational success. Companies on this list are wonderful examples of how they help organizations unlock the power of knowledge. They stand out in the KM field, and we applaud their accomplishments.

How enterprises handle their most valuable asset: their knowledge - RWS

We're moving into an era where AI-driven content operations will be the norm, not the exception. Organizations will shift from basic automation to intelligent content orchestration, where AI systems don't just process content but understand and adapt it in real-time across multiple channels and markets.

Beth Rudden will explore the human element of AI at KM & AI Summit 2025

There's a lot of trepidation when dealing with AI, and for good reasons. However, the key to utilizing the tech is to work with it, not against it.

Moving beyond the illusion of ‘AI is magic’ at KM & AI Summit 2025

At this year's KM & AI Summit, Seth Earley, CEO of Earley Information Science and author of The AI Powered Enterprise, will break down what makes AI work—and work successfully—in his session, "Building a Knowledge Architecture for Retrieval-Augmented Generation (RAG)."

KM & AI Summit 2025 keynote to showcase knowledge management and AI as the backbone for customer service success

Ashu Roy, chairman and CEO of eGain, will share how leading clients are accelerating knowledge creation and curation, along with improving search success rates while driving down costs, during his KM & AI Summit keynote, "AI Knowledge for Customer Service Success"

Breaking down the realities of GenAI implementation at KM & AI Summit 2025

During his KM & AI Summit session, "Enterprises With AI Action: Industry Insights," John Chmaj, senior director, KM strategy, Verint, will explore how the new knowledgebase requires us to rethink how we add, access, and present content in the age of GenAI.

Avoiding Legal Pitfalls Through Savvy Data Governance

Data governance solutions can scan and classify organizations' sensitive data according to its relevance to a particular regulation. Classifiers find specific data types of interest to specific regulatory entities.

KMWorld Conference Wrap-Up and Look Ahead

Evident in all the tracks and conferences was the trend toward recognizing the foundational value of KM to enterprises large and small, nonprofit and for profit. Without seamless access to knowledge—access that stretches across data silos and transcends formats—enterprises cannot please customers and employees as they would like. AI-based technologies contribute to elevating the value of KM, but they are not the only driving force.

KMWorld Trend-Setting Products of 2024

It's clear from the increase in new and exciting products designed for KM practitioners that KM is gaining in importance within organizations and being recognized as critical to the success of enterprises. The ability of technology to streamline information flows, summarize lengthy documents, surface hidden information from existing data, and make search results relevant and actionable gives companies a competitive advantage.

Knowledge seekers are mobile: Is your data?

There's an assortment of best practices to abide by when designing an application for a document repository to be accessed via multiple devices.

KMWorld 2024: Unlocking Powerful Knowledge-Sharing Solutions

This year's KMWorld 4-day event is filled with amazing practitioners, who share their enterprise knowledge and experiences, as well as experts in a number of fields, who relate their engaging stories of success with taxonomies, text analytics, search, and discovery to those in the KM community who want to learn from and network with these stellar performers.

How (and when) to update your KM strategy

Ensuring that KM endeavors support different access points, systems, and user preferences is a prime consideration for updating KM strategies. Vendors may also supply newfound capabilities (which an organization previously hadn't had access to) that warrant updating a KM strategy to avail organizations of new possibilities.

Cloud technology: A synergistic environment for KM and generative AI

Cloud technology may have become a commodity to some extent, but it is not a simple commodity. The technology that allows cloud computing to be dynamic and agile is composed of many interrelated components, which means that when one thing goes wrong, the problem can cascade.

Personalization to support customer engagement and boost revenue

Over time, consumers have become accustomed to personalized results when they search for products and services. They are demanding that the brands they deal with have a deep understanding of their individual needs.

Promises and Perils of AI for Enterprise Knowledge Management

This survey reveals both excitement and trepidation around enterprise AI adoption for knowledge management. Long-standing problems around information access, data quality, and speedy acquisition of needed information are the puzzle pieces that AI has the potential to solve.

Overcoming data silos: A range of options

The options are many and varied when it comes to taming silos. The specific approach should depend on the use case, the organization's existing knowledge assets, and the strategic goals.

Modern KM tools and techniques for collaboration

Modern collaboration means and mechanisms ultimately make it easier, less risky, and more productive for organizations to work together within business units, between them, and between organizations. Constructs such as data mesh architecture, data fabric architecture, data access governance platforms, data catalogs, and process automation solutions are based on sharing information between parties—and make doing so tenable.

The future of KM is not simply AI

Until KM systems can achieve trust in AI, a totally AI-centric workplace will be a fantasy. The future of KM will be based on collaborative work habits, fueled by technology that encourages knowledge sharing, enhances productivity, supports employees to have a healthy work life, and accepts that not every aspect of knowledge management is technology-reliant.

KM leverages data mesh

An underlying premise of data mesh is that business units should be able to control their own data and interact with one another by sharing data.