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.

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.

Gaining competitive advantage from non-textual information

With the right approaches, tools, and self-service facilities, it is possible for users possessing any degree of technical aptitude to quickly find and avail themselves of non-textual content.

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.

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.

Overcoming data silos: A range of options

The options are many and varied when it comes to taming silos. The specific approach should depend on the use case, the organization's existing knowledge assets, and the strategic goals.

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.

KM leverages data mesh

An underlying premise of data mesh is that business units should be able to control their own data and interact with one another by sharing data.

Data governance solves multiple KM challenges

Organizations are recognizing that effective data governance is ultimately more of a benefit than a burden. It increases efficiency by delivering trusted data, improves business processes, decreases data downtime, and reduces compliance risk. It also promotes data literacy throughout the enterprise.

Automate Digitization and Support Your Full Information Management Lifecycle with Award-winning Access Unify

Integrating flawlessly into your existing infrastructure, Access Unify solutions ensure a streamlined, digital-first workflow, minimizing the need for extra training or staffing.

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.

Create Superior Digital Client Experiences with M-Files Hubshare

By enabling better visibility and information control across systems, repositories and stakeholders, M-Files provides organizations with a competitive advantage as they deliver higher-quality work with lower risk.

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.