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.

Leading Services to Bridge the Gap Between Your Knowledge, Information, Content, and Data—Delivering Knowledge Intelligence - Enterprise Knowledge

Whether you're starting with strategy development or ready to implement AI solutions, our expertise spans from tacit knowledge capture to the design and development of enterprise-level AI, ensuring your organization achieves its KI goals.

Enhancing Organizational Experiences: The Power of Knowledge Management Systems and LLMs - KMS Lighthouse

Looking forward to 2025 and beyond, the synergy between KMS and LLMs will drive significant advancements in organizational experiences. By leveraging the strengths of both technologies, organizations can expect enhanced efficiency, better decision-making, and more innovative solutions to complex problems.

Bridging the Workplace Information Divide - MangoApps

Employees waste valuable time searching for documents and navigating disjointed systems, leading to frustration and inefficiency. MangoApps provides a single source of truth, powered by AI, to ensure every worker can instantly access what they need, regardless of role or location.

The ability to transform complex data into actionable intelligence - Mindbreeze

By breaking down traditional information silos and offering a unified, intuitive platform where employees can access, share, and leverage critical knowledge effortlessly, we empower users with insights tailored to their specific roles and tasks. This ensures that the right information reaches the right people at the right time.

In KM, Content is King - Northern Light

Make sure your knowledge management system fulfills all these requirements for effective content processing so that users (and your organization) reap maximum benefits from your KM investment.

Using KM to Make Problem-Solving Reusable

KM makes problem-solving reusable by rendering enterprise knowledge orderly, searchable, accessible, and compliant. Even in the midst of the most revolutionary of technologies—which many would say the ubiquity of language models heralds—the fundamentals of having vertical-specific solutions, meta-data models, workflows, and processes are ultimately what makes knowledge reusable.

Semantic Search: A Deeper Meaning

Search has proved to be a conundrum for many organizations, but the advent of new techniques and better integration into KM platforms will prove to be a driver for greater adoption.

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.

Digitization Strategy: 5 Tips for Planning & Executing a Successful Initiative - Access Corp

Access works across the information lifecycle to securely scan/digitize, index, store, and dispose of documents.

We feed LLMs and make them better - Access Innovations

There is a way you can supercharge an LLM and get far superior results, and it's fast.

Enterprise Intelligence: Turn Knowledge from Cost Center to Profit Driver - Bloomfire

In 2025, you need enterprise intelligence—dynamic, AI-powered knowledge orchestration that connects critical insights across your entire organization in real-time.

GenAI for Customer Service: Pitfalls and Prescriptions for Success - eGain

Successful customer service automation with GenAI requires a strong foundation of integrated knowledge management. Investing in a modern knowledge hub to power GenAI projects will help you meet aggressive operational cost reduction and CX goals.

Examining the ‘nature’ of KM: Learning from the environment and humanity at KM & AI Summit 2025

You may not realize it, but there's much to learn about KM from the world around us—both in the natural and interpersonal sense. Examining these systems, from the buzzing of bee hives to the way our personhood has always shaped knowledge sharing, bears compelling insights for KM.

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.

Unearth the importance of creativity in knowledge management at KM & AI Summit 2025

Unlock the future of innovation and knowledge management at the KM & AI Summit in Scottsdale, Arizona, March 17-19, 2025.

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.