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Natural Language Processing > Features
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.

KMWorld 2024 Is Nov. 18-21 in Washington, DC. Register now for Super Early Bird Savings!

How (and when) to update your KM strategy

Ensuring that KM endeavors support different access points, systems, and user preferences is a prime consideration for updating KM strategies. Vendors may also supply newfound capabilities (which an organization previously hadn't had access to) that warrant updating a KM strategy to avail organizations of new possibilities.

Using Generative AI for real-world KM solutions

The overarching utility derived from GenAI capabilities relies on organizations' proficiency to reduce redundancy to minimize inaccuracies, monitor outputs, and trace responses to the underlying data sources from which their responses are produced.

The future of KM is not simply AI

Until KM systems can achieve trust in AI, a totally AI-centric workplace will be a fantasy. The future of KM will be based on collaborative work habits, fueled by technology that encourages knowledge sharing, enhances productivity, supports employees to have a healthy work life, and accepts that not every aspect of knowledge management is technology-reliant.

2023 Readers' Choice Award- Best Knowledge Graphs: Franz Inc. AllegroGraph - LLMs and Knowledge Graphs for AI in the Enterprise

Franz Inc. not only offers cutting-edge technology but also provides a suite of services for building industrial-strength Knowledge Graphs. By combining the semantic richness of AllegroGraph with the natural language processing capabilities of LLMs, organizations can unlock the full potential of their data, ensuring that AI-driven insights are grounded in facts.

The future of knowledge management: Talking to documents with generative AI

The fundamental pillars of KM—taxonomies, domain-specific data models, knowledge extraction, search, and text analytics—are as pertinent today as they ever were. Now, generative AI has rendered these constructs much more accessible to the enterprise. Its long-standing utility will be determined by surmounting models' tendencies to generate contrived, inaccurate responses while embedding them into core KM processes.

Lucidworks Integrates Generative AI with Fusion to Make Search a Superpower

Lucidworks can now seamlessly integrate with any large language model (LLM) and provide the necessary guardrails to validate Generative AI responses, ground them in truth, and minimize errors such as hallucinations.

Mindbreeze InSpire Integrates with Large Language Models to Elevate Natural Language Question Answering

Mindbreeze InSpire captures, stores, and manages data within a company, allowing companies to benefit from incorporating pre-trained models trained on vast amounts of data.

JOIN US AT KMWORLD NOVEMBER 6–9, 2023 JW MARRIOTT WASHINGTON, D.C.

It's an exciting time for KM, with new technologies and new approaches sparking new opportunities. The KMWorld conference, the largest global gathering of KM thought leaders, practitioners, and authors, returns to Washington, D.C., this November.

The KMWorld AI 100: The Companies Empowering Intelligent Knowledge Management

AI reaches many different areas within organizations—marketing, customer service, legal, finance, human resources, compliance, fleet maintenance, manufacturing, sales, and other business units as well. AI touches almost every piece of an organization's structure and operations, as well as their customer-facing presence. 

AI 100 Trailblazer: Openstream.ai® - Conversational AI for Visionaries

Openstream's Conversational AI addresses the unique needs of enterprises by including features for reasoning & inference, explainability, trust, data governance, and privacy protection to provide them with solid foundations for growth while reducing risk.

AI 100 Trailblazer - Pureinsights: Revolutionizing Search with AI-Powered Solutions

In today's knowledge-driven world, search plays a crucial role, and its complexity continues to grow. Traditional keyword-based search engines have evolved into cognitive search applications that leverage AI and knowledge graphs. At Pureinsights, we understand the ongoing challenges faced by organizations in upgrading technology, retaining talent, and fine-tuning applications.

The future of search: Conversational, semantic, and vectorized models

The motions impacting search will likely continue apace for the foreseeable future. The coalescing of different techniques, from vector search to semantic search, keyword search to federated search, and more, will likely continue to deliver the most relevant results to users and the models underpinning these mechanisms.

MANAGING KNOWLEDGE COMPLEXITY THROUGH VISUALIZATION

The flexibility of current visualization tools makes them an asset to any analytical initiative. These products can visualize data contained in relational databases or graph databases, and they provide engaging opportunities for exploring data to reveal information that predefined queries would not. As AI capabilities are incorporated and natural language interfaces become the norm, visualization will only become easier and more valuable in the coming years. 

The State of Knowledge Management in 2023: Untapped Potential for Business Value

Dive into the current state of knowledge management and recommendations for realizing untapped potential for business value.

The expanding ease and utility of text analytics and natural language processing

The greater utility of text analytics, whether or not that's preceded by speech-to-text conversions, is the capacity to analyze the reams of unstructured text in the form of documents, conversational transcriptions, social media streams, and more.