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.

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.

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 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.

KM and AI: Experts look at what lies ahead for 2024

AI and dreams of its potential rocked this past year as companies moved quickly to embed and offer their own version of chat assistants, predictive and generative AI, and more

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.

Truth, lies, and large language models

The good news is that the problem of chat AI's proclivity for hallucinating is well-recognized by the organizations creating these marvels, and they realize that it is a danger to the world and to their success, not necessarily in that order of priority. Until that problem is solved, chat AI engines need to lose their self-confidence and make it crystal clear that they are the most unabashed and charming liars the world has ever seen.

Integrated Information Management Roadmap

Boost Document Accessibility with Effective Indexing Strategies and Records Classification Methods

The Trend-Setting Products in Knowledge Management 2024

IDC Spotlight: From Siloed Content to Streamlined Workflows – How a CCMS Powers Digital Transformation