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.
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.
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.
Look to the skies for KM opportunities
Then there's the inevitable demand for more automation, from the flight planning and clearance process to the operation of the air vehicles themselves. No human or group of humans could possibly keep track of so many constantly changing variables
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.
From robots to digital workers
As more firms use the term "digital workers" in place of bots, a spotlight is being shone on the role, importance, and increasing controversy surrounding enterprise automation.
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.
The critical part of critical infrastructure
Whether we're talking about infrastructure to support the flow of goods or the flow of knowledge, all require energy, and lots of it.
The convergence of convergence
The more systems and subsystems we attempt to stitch together, the greater the unpredictability.
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.