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Natural Language Processing
Natural Language Processing is the branch of artificial intelligence (AI) concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.

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Features

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.

Making Search Conversational to Improve Knowledge Access

With vector search engines, users can authenticate the accuracy of language models by referencing the sources responses are based on.

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

KM 101 in the Era of AI: An Interview With Stan Garfield

One of the things KM can do for AI is to empower learning communities to help people how AI applies to them and how to navigate through changes generated by it.

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.

Microsoft’s Copilot: A force multiplier for KM

Generative AI (GenAI) applications will increasingly transform organizations' IT platforms. Companies of any size that opt to create robust apps on their own, however, are in for a protracted, complex, and expensive experience.There's a better way: Buy into what I call a GenAI ecosystem from a vendor in whose tech you are already invested. These ecosystems are comprised of the sum of services customers mostly need to build and launch robust apps.

Columns

A System of Systems … With a Twist

Many long-standing technologies such as swarm intelligence, biomimicry, neural networks, and the like are now being stitched together. Think of what could happen if each of those technologies interacted not only with each other but also with the environment at large, its living and artificial elements, as an integrated whole.

The Long- and Short-Term Impacts of AI Technologies

A much less-known but arguably more critical tech law is Amara's Law, which states that we tend to overestimate the short-term impact of new technology while underestimating its long-term effects.

On Chat AI and BS

So, I'm sticking with hallucinations for all of chat AI's statements, true or false. But that leaves us with a question: Why isn't there a word that perfectly expresses this situation? The answer is easy: LLMs are doing something genuinely new in our history. Our lack of a perfectly apt verb proves it.

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.

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

Natural Language Processing Companies and Suppliers
Natural Language Processing Directory