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Enterprise Application Integration
Enterprise application integration (EAI) is being used as a knowledge management strategy, tying together critical bits of information gathered from various systems throughout the enterprise. All of the information far-flung across the enterprise and the need to communicate with outside firms make enterprise application integration tools all the more valuable to managing knowledge effectively.

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Features

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.

AI-powered employee experience platform. Much more than an intranet - Simpplr

By eliminating unnecessary complexity, Simpplr boosts productivity across the organization—and frees up time and resources for the teams who enable it. Trusted by 1,000+ leading organizations including AAA, Moderna, and the NHS, Simpplr helps enterprises deploy faster, operate with confidence, and transform the everyday experience of work.

Upland RightAnswers—Knowledge with Trust, AI with Purpose

RightAnswers connects all knowledge sources with federated search, supports bring-your-own AI models, and easily integrates with CRM, IT Service Management, and other enterprise systems.

Vote now for the 2025 KMWorld Readers’ Choice Awards

It's time again to choose the best of the best for the KMWorld Readers' Choice Awards—voting for the 2025 KMWorld Readers' Choice Awards is now open through August 29

ViewPoints

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.

Democratizing software development with no code/low code

By enabling greater productivity and accelerated software development timelines, no code/low code is on the rise.

Columns

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.

Knowledge Management Whitepapers

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

Enterprise Application Integration Companies and Suppliers
Enterprise Application Integration Directory