AI’s new type of knowledge

This way of knowing works pragmatically for some very complex systems of the sort we find in the real world. But, oddly, itseems not to work so well in some artificially simple systems.

Return on … Infrastructure???

As our physical and IT infrastructure continues to grow in size, complexity, and vulnerability, people and the knowledgethey possess will play an ever-increasing role.

Three trends in ’23

The combined human and computing clouds will drive our core KM processes of search, collaboration, and discovery to new heights.

Knowledge as I remember it

The web transformed the role of knowledge by making it instantly available but not inherently reliable.

Getting more confused about regulating social media

Out of the mix of commercial greed, politics, and genuine desires to make the world better, we'll try many ways to "fix" social media. But I think it may take a couple of generations, affected by what we do, for us to begin to agree about what's right and wrong.

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 human capability to under-or overestimate

Yet maybe the most glaring example of underestimating humans we encounter in our work is in the world of AI. It's partly the term "intelligence" in AI that misleads so many, as AI is not intelligent in the same way that humans are intelligent. Though powerful, AI ultimately matches patterns it has learned, and even the smartest of AI systems is limited in how many patterns it can match and make sense of.

Dispatches from the edge

Edge-of-chaos decisioning means being continually informed on the critical elements needed to make better, faster decisions.

AI’s ways of being immoral

The most powerful ML can require the resources of wealthy organizations. Such organizations usually have at best mixed motivations, to be charitable about it.

Fusion, fission, or something else?

When it comes to applying KM, the key is identifying and connecting the dots in meaningful and synergistic ways.

Knowledge unchained

Blockchains eliminate the need to trust other people. That's it; that is all there is to it. Trust is deferred to the system itself.

Thinking fast—and faster

If you're going to achieve consistent, effective high-speed decision making, it can't involve a protracted review by upper management.

Why predict?

Predictions can be used to try to get to the bottom of something in the present. That's often the case with arguments about what the web will do to us and society.

The state of knowledge

The new norm is for us to learn in public and to share what we have learned.

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.

Can AI be ethical?

Without inherent bias in the data, AI would not make decisions. Bizarre though it may seem, AI is dependent on bias being present.

The end of books?

The structure of knowledge is dense, and our paths through it are carved not just by itscontours but by our interests and concerns.

The privilege of free speech

The best counter to a bad idea was not to suppress it but to put forth a better idea or so we believed. That belief and the U.S. Constitution's guarantee of free speech resulted from the Enlightenment commitment to reason.

The coming blue wave

It should come as no surprise that topping the list of requirements to create and sustain a vibrant blue economy are innovation, learning, and collaboration.