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.
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 final frontier
Given the rapid expansion of satellite communication webs in support of IoT, the volume of data will continue to explode.
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.
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 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 enterprise of the future: Yesterday, today, and tomorrow
Today, much of the knowledge we need is readily available. The problem is having the courage and fortitude to properly act on 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.
Crossing the epistemic divide
As the world races ahead, purely data-driven approaches will become less attractive. Instead, we need to start gaining a deeper understanding of how to bridge the great divide which separates the artificial and the natural.