2024 Readers' Choice Award- BEST AI - DOMO- Empower Your Business with Secure, Flexible, and Conversational AI

There is undeniable potential in generative AI and large language models, but these tools alone come with significant gaps and challenges. AI often needs additional technologies to create guardrails around data security and response accuracy.

2024 Readers' Choice Award - BEST KNOWLEDGE GRAPHS - AllegroGraph: Neuro-Symbolic AI Capabilities for the Enterprise

AllegroGraph is designed to seamlessly integrate with LLMs, providing the most secure and scalable AI solution for enterprises. AllegroGraph offers a comprehensive solution platform including Large Language Models (LLMs), Vector generation and storage, Graph Neural Networks, Graph Virtualization, GraphQL, Apache Spark graph analytics, and Kafka streaming graph pipelines.

Technology to connect people and knowledge

The ability to centralize the knowledge found in the distributed tools, repositories, and databases for KM practitioners is the defining characteristic of today's technologies. Generative machine learning models not only play pivotal roles in managing that knowledge to make it meaningful to users, but also in enabling them to interface with it on-demand, for ad-hoc use cases.

KMWorld Trend-Setting Products of 2024

It's clear from the increase in new and exciting products designed for KM practitioners that KM is gaining in importance within organizations and being recognized as critical to the success of enterprises. The ability of technology to streamline information flows, summarize lengthy documents, surface hidden information from existing data, and make search results relevant and actionable gives companies a competitive advantage.

Lexsoft T3 GenAI Knowledge Management

T3 GenAI applies AI to automatically extract relevant information, create abstracts, and accurately mine the metadata to classify them in the KM system. This removes the need for KM professionals to manually appraise lawyers' documents or ask questions to identify, curate, and classify the knowledge documents.

Execute Successful Enterprise Content Strategies in Today’s AI Era with Quark Publishing Platform (QPP) NextGen

With content playing a direct role in business growth, enterprises must find ways to modernize their content operations and knowledge management infrastructure, particularly with AI, to support business objectives, the needs of customers, and ability to win in their market.

Knowledge seekers are mobile: Is your data?

There's an assortment of best practices to abide by when designing an application for a document repository to be accessed via multiple devices.

Taxonomies: Foundational to knowledge management

As the volume of digital content increases, the ability to manage it becomes more important. Taxonomy and metadata are vital to finding products, conducting scientific research, and keeping track of organizational information. They also enable a wide variety of analytics on unstructured data. We can see the results of a well-designed taxonomy, but behind the scenes, there's a lot more going on than meets the eye.

KMWorld 2024: Unlocking Powerful Knowledge-Sharing Solutions

This year's KMWorld 4-day event is filled with amazing practitioners, who share their enterprise knowledge and experiences, as well as experts in a number of fields, who relate their engaging stories of success with taxonomies, text analytics, search, and discovery to those in the KM community who want to learn from and network with these stellar performers.

The KMWorld AI 100: The Companies Empowering Intelligent Knowledge Management

It's easy to become overwhelmed, even awestruck at the amount of information about AI, particularly GenAI, being thrown at us on a daily basis. The ability of AI technologies to process vast amounts of data, recognize patterns that humans can't see, and generate new knowledge and insights boggles the imagination. The challenge faced by knowledge managers is determining what is actually useful and will have staying power.

AI 100 Trailblazer- M-Files: Unleash the benefits of knowledge work automation and superior GenAI experiences

The M-Files metadata foundation drives superior AI experiences by creating a unique, customer-specific information model that surrounds all content, ensuring safe and high-quality results. With M-Files, organizations automatically get the mandatory enablers for successful AI deployment: connectivity, confidentiality and curation.

AI 100 Trailblazer: Northern Light optimizes GenAI for market and competitive intelligence research

Key to the accuracy of SinglePoint's GenAI responses is Northern Light's use of retrieval augmented generation (RAG); only sources from vetted content collections within the client organization's SinglePoint portal— business news, primary or licensed secondary market research, thought leaders' commentary, technology white papers, conference abstracts, or industry and government databases—are tapped for answers. There's virtually no risk of "hallucination" since SinglePoint does not rely on a commercial large language model's internet-based training data.

AI 100 Trailblazer: Sugarwork - Unlocking the 80% of institutional knowledge not captured by existing KM tools

Sugarwork is designed for companies to capture institutional knowledge—both tacit and explicit—and make it accessible to anyone in the organization. It leverages GenAI to enable organizations to capture the information, insights, and nuances of daily operations.

AI Trailblazer Profile: Talkdesk- Leading the charge against bad customer experience

Talkdesk Knowledge Management leverages AI to enhance self-service and agent-assisted automation. It consolidates articles from third-party platforms for federated search and uses LLM-based generation and semantic search for faster content retrieval.

AI 100 Trailblazer: Atlas - Trailblazers in Intelligent Knowledge Management

ClearPeople's flagship product, Atlas, is the first Intelligent Knowledge Platform built specifically for Microsoft 365. Atlas tackles the critical organizational challenge of unlocking knowledge within Microsoft 365 and other enterprise systems, to drive your business forward.

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.

Cloud technology: A synergistic environment for KM and generative AI

Cloud technology may have become a commodity to some extent, but it is not a simple commodity. The technology that allows cloud computing to be dynamic and agile is composed of many interrelated components, which means that when one thing goes wrong, the problem can cascade.

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.

KMWorld 100 Companies That Matter in Knowledge Management 2024

We think these companies play a pivotal role in shaping the future and bringing relevancy to how knowledge is harnessed and made useful across diverse sectors. They are committed to driving efficiency and effectiveness through KM to organizations of all types.

Promises and Perils of AI for Enterprise Knowledge Management

This survey reveals both excitement and trepidation around enterprise AI adoption for knowledge management. Long-standing problems around information access, data quality, and speedy acquisition of needed information are the puzzle pieces that AI has the potential to solve.