Enjoy Better Business Intelligence, Faster - LexisNexis

Nexis+ AI delivers access to quality results, leveraging a global data library that includes genAI-enabled news and corporate data from thousands of globally-recognized sources, including The Associated Press, Dun & Bradstreet, Gannett, and many more.

Transform enterprise data into a strategic, AI-ready asset - EncompaaS

Designed for unstructured content, EncompaaS discovers, classifies, and enriches information across Microsoft 365, legacy ECM systems, and file shares—without migration. It automates governance, applies retention and sensitivity policies, and enriches metadata to improve GenAI outcomes.

KMS Lighthouse Recognized as a Trend-Setting Product of the Year

KMS Lighthouse stands out by enabling organizations to deliver precise, consistent, and context-aware answers across all channels, including digital help centers that support both employees and customer inquiries. Our customers are successfully leveraging our platform to create smarter, faster, and more intuitive support experiences.

Mindbreeze Insight Workplace Revolutionizes Employees’ Access to Enterprise Data

Built for enterprises, Mindbreeze enforces access rights, supports multilingual environments, and integrates with corporate security models. Designed for cross-functional insight and collaboration, Insight Workplace turns hidden knowledge into strategic advantage.

Bridging the Knowledge Gap in Manufacturing: Securing Institutional Expertise for the Future

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.

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.

The transformative role of AI in the next generation of records management

While there are many ways AI will disrupt and advance the records management process, these four key applications will make the biggest impact: automating document classification and tagging, records retention and data hygiene, leveraging natural language processing for record analysis and predictive analytics for records management.

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.

What is Bharat and why should you care?

Knowledge should always be considered as accretive, not something that's "here today, gone tomorrow."

Why public GPTs fail at structured enterprise content — and what to do instead.

Content findability — mastering the key to customer self-service

TransUnion x AEM Guides Case study

Topcon story at DITAWORLD 2025