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.

Getting to the future of KM

AI can and does do a good job of assisting and even augmenting knowledge work, but our "to be" state should not take the human element—however flawed—from the work.

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 aboutwhat 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.

The knowledge Zoom

In choosing to disclose something about one's personality and interests—even though it's kept literally in thebackground—people are acknowledging that personality and personhood matter to the discussion.

Making the jump to hyperdrive

The new, all-digital workforce will be made from a combination of AI, machine learning, computer vision, naturallanguage understanding, robotics, and more.

The big opportunity for knowledge management

It may well be stating the obvious but we will not be returning to the old ways of working, even though some of us, myself included (as it turns out, I am in the minority), would like to.

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 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.

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 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.

How we innovate matters

Just as nobody was fooled by the arguments used to justify offshoring and outsourcing business processes, they should also not be misled by the furious energy behind automation, be it in the form of RPA or even AI.

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.

Beyond sustainability

We need to look at the major challenges we're facing as we enter the millennium's third decade from the perspective of the global economy as a wholly integrated system.

Bureaucratic knowledge

The knowledge of bureaucrats comes from living at the nexus of strategy and implementation, the nexus of best practices and human values, the nexus of multiple departments with their independent goals, and at the nexus of wishes and reality. That makes their voices worth listening to.

Reframing the KM discussion

The tech sector is growing fast, but without thorough business analysis, insight, proper planning, and a focus on challenging the better-quicker-cheaper approach and replacing it with a beneficial-adaptable-affordable commitment, there is a world of trouble ahead.

Writing as empathy

Communication is about revealing something about the world that the other person hasn't noticed—and often hasn't been able to notice because their ideas get in the way.

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.