Readers' Choice Awards 2025 - Bloomfire - Certified Knowledge that Enables Accurate, Reliable AI

Where others generate content, we verify, cite, and continuously improve it—so answers are trusted, not just fast. This is what makes Bloomfire agentic AI in practice: intelligence that doesn't just respond, but takes action to govern, heal, and surface knowledge in ways that drive measurable outcomes.

Readers' Choice Awards 2025 - eGain: Accelerating Knowledge Creation and Curation while Improving Search Success

eGain providers rich technology: content management, workflows, profiled content access, intent inference, search methods, generated instant answers, guided help, analytics, pre-built connectors to existing systems, and much more, powered by hybrid AI, including agentic and generative AI, ML, and reasoning.

Readers' Choice Awards 2025 - Franz: Agentic AI with AllegroGraph’s Neuro-Symbolic Knowledge Graphs

To achieve true autonomy, AI systems must integrate both neural networks (for learning and pattern recognition) and symbolic AI (for structured knowledge and reasoning). This fusion, known as Neuro-Symbolic AI, is essential for bridging the gap between data-driven insights and human-like decision-making.

Readers' Choice Awards 2025 - Stravito: From Insight to Action— How Stravito Is Powering Faster, Smarter Consumer Decisions

By blending AI with human expertise, Stravito is evolving from simplifying searching for knowledge to shaping smarter, consumer-led strategies.

How Semantic AI & Knowledge Graphs Can Turn M365 Environments Into a Smart Knowledge Hub

By eliminating data silos, semantic AI enriches customer data and content and enables greater knowledge discovery across an organization. Due to its diverse capabilities, such as text mining, tagging, semantic search, etc., it can be implemented along the whole data and content lifecycle in order to develop intelligent applications. When integrated with an organization's CMS, semantic AI can help individuals get the information they need sooner.

Navigating the IT Landscape: Balancing Hybrid Cloud and Cloud Repatriation to Stay in Control of Your Infrastructure

To secure their data, certain industries have strict regulations regarding data storage, requiring data to be kept in specific geographic locations or under stringent security measures. This is yet another reason for organizations nowadays to switch back to on-prem resources.

Experts predict AI will continue impacting KM in 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.

Integration impasse: Why organizations can’t wait for data integration before deploying AI

The need for comprehensive data management will always be important, and there are many other benefits of digital transformation, but CIOs don't need to delay GenAI projects until the completion of a giant data centralization effort. By adopting a more flexible approach that incorporates GenAI and next-generation BI tools, businesses can navigate the complexities of modern data ecosystems while driving innovation and maintaining a competitive edge in an AI-driven world.

Will AI Ever Play in Peoria? The Enterprise Reality Check

The tech industry has a long history of overpromising and underdelivering, but AI has taken this to new heights. We're bombarded daily with headlines about AI writing novels, diagnosing diseases, and even replacing entire job functions. Yet, when you peel back the layers, you find a landscape littered with half-baked implementations, inflated claims, and solutions that work only in the most controlled environments.

The rise and potential fall of the citizen developer

The citizen developer movement was heralded as a revolution. Like most revolutions, things have sometimes gone differently than planned. The logic is sound, empowering those who know the business best to build the tools and systems needed to do their job. Ah, if only things were that simple …

Inefficient at the speed of light

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.

The end of tech glory days

The tech industry's glory days may be fading a little, but this is not a time for despair. It's an opportunity for renewal. By shifting to a needs-driven approach, the industry can ensure its relevance in a rapidly changing landscape.

The Trend-Setting Products in Knowledge Management 2025

AI-Powered PLM in Manufacturing: Making PLM Content AI-Ready

How ENOVIA + Adlib turn CAD, BOMs, and SOPs into reliable knowledge for search, RAG, and compliance

Pharma Launches Don’t Fail Because of Strategy. They Fail Because of Documents.

Discover how Veeva + Adlib eliminate content bottlenecks, accelerate approvals, and make your launches AI-ready.

Managing Information Through Transition: The Merger and Acquisition Integration Playbook