-->
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.

NEW EVENT: KM & AI Summit 2025, March 17 - 19 in beautiful Scottsdale, Arizona. Register Now! 

Features

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.

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.

Tips and Techniques to Close Knowledge Gaps

Knowledge gaps are a moving target, and companies must institute continuous improvement procedures to keep up. Numerous avenues exist for detecting knowledge gaps, including employee assessments and technology-derived metrics. Remedies include training and, increasingly, deploying AI solutions to seek out new information. Organizations will need to proactively monitor these gaps and use the available tools to close them in order to stay competitive.

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

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.

Pushing the boundaries of knowledge curation

Knowledge democratization occurs in two directions, seemingly engaged in an endless tug of war: acquisition and dissemination.

Knowledge Management Whitepapers

Content reuse — the key to scaling businesses intelligently and quickly

Building the AI content pipeline — why structured content is the key to automation and personalization

2025 Content Trends

Assessing Business Value and Impact

Natural Language Processing Companies and Suppliers
Natural Language Processing Directory