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. Despite the fact that nearly every organization is using the cloud, about one-third report that their cloud implementations have failed completely, and about one-fourth report that their migration has not met the intended schedule.
Judith Lamont, Ph.D. //
02 May 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.
Marydee Ojala //
13 Mar 2024
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.
Marydee Ojala //
12 Feb 2024
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.
Judith Lamont, Ph.D. //
08 Jan 2024
A strong AI governance program is essential to ensuring compliance and reducing risk. An equally important benefit is that by developing the governance program at the same time the AI application is being developed, issues can be identified early, thus avoiding system redesign or rework on the tail end.
Mark Diamond //
02 May 2024
Multinational companies are generally aware of data transfer laws, but smaller ones just embarking on looking beyond country borders may not be.
Carlos Melendez //
08 Jan 2024
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.
Michael E.D. Koenig, Ph.D. //
08 Jan 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
Stephanie Simone //
07 Dec 2023
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.
Alan Pelz-Sharpe //
08 Jan 2024
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.
Alan Pelz-Sharpe //
02 Nov 2023
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.
David Weinberger //
02 Nov 2023
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.
Art Murray, D.Sc. //
07 Sep 2023