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.

What you should know about cross-border data transfer laws

Multinational companies are generally aware of data transfer laws, but smaller ones just embarking on looking beyond country borders may not be.

KMWorld 2023 sees a sea change

Most of the papers presented at the 2023 conference did not report on what had changed. Instead, they assumed and predicted that there would be substantial change.

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

Avoiding the wrath of illegal data

To mitigate the risks associated with illegal data, organizations need to implement data governance policies and procedures to ensure that all data is properly documented, stored, and maintained.

The trust problem with GenAI

2023 has been the year of ultra-hyping GenAI, and who is paying for this deluge of marketing? Technology vendors that want us to buy it. Again, it's impressive stuff, but when we shift from selling to buying and ultimately using it, many tough questions need to be asked.

When is good enough enough?

Our goal should be to improve the quality of knowledge assets and their accuracy and relevance in use. Much of this will come from human expertise and effort, increasingly combined with the power of AI.

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.

Are you data-driven or knowledge-driven?

We no longer need to blindly accept the output of even the most sophisticated AI/ML platforms. In fact, we should not consider any artifact, whether produced by humans or machines, as valid knowledge unless it contains not only supporting data and analyses, including provenance, but also an explanation of the underlying plausibility.

Unlocking the Power of Knowledge Management for Enterprise AI with Anzo and Knowledge Guru

100 Companies that Matter in Knowledge Management 2024

A Blueprint for Transforming Paper-Intensive Processes

eBook: Navigating IM In an Evolving Remote/Hybrid World