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.
Get your game on: KM skills needed for reliable use of LLMs
There is no questioning that generative AI is here to stay, but its use in mission-critical work has some way to go before it can be trusted and let loose.
AI technologies upending traditional KM
If we are not careful and proactive about it, the concept and importance of knowledge itself may soon become blurred or lost.
The undiscovered country
Capturing and sharing what you already know is good; and with today's data and text analytics tools, it has become much easier than when we'd first begun this journey.
The way of the scenario
The Delphi technique has become less effective in recent years, especially in crisis situations in which conditions, assumptions, and other variables are changing faster than the group is able to respond.
What happens when AI meets a pandemic?
This is what we can see clearly after some months of reading, watching, and listening to the pronouncements on the novel coronavirus crisis from around the globe: Content challenges continue to dog AI.
Usability testing for effective interactivity
Connecting the seeker to the information she seeks is not a new problem. Interaction design has been a stumbling block since the age of the card catalog.
AI: The issue is execution
By demonstrating on Jeopardy! that a machine could understand and analyze many fields of human knowledge and answer questions faster and more accurately than the reigning human experts, Watson's victory created an instant global brand.
Local values of a global net
Even in regressive regimes that block sites and ideas, Internet apps are implicitly showing people the value of the free—or at least relatively free—flow of information.
The good old days of news
Now that we are deep into the backlash against the Internet, let's pile on by reminiscing about the Good Old Days of knowledge before the Net. Shall we? We shall, taking the news as our example!