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.

Dispatches from the edge

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

DAOs, NFTs, Web 3.0, and the metaverse: What does it all mean?

We can look at Web 3.0 as the next decentralization/virtualization stage of the internet. Here, blockchain-linked tokens, including NFTs, are integral to DAOs, which are frequently promoted as a gateway to the metaverse.

Fusion, fission, or something else?

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

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.

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.

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 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 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.

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.

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.

At long last, the conference of the future

In past epochs, usually when a civilization is at or near its peak, the architecture of prominent structures masterfully blends the physical and the cognitive.… we need to be thinking along the same lines as we build platforms for interacting in an increasingly virtual world, including virtual conferences.

Disruptive innovation: No better time

With the push to move more functions online, disruptive technologies such as robotic process automation are rendering old skill sets obsolete, while at the same time creating the need for new ones.

Building the enterprise of the future: If not now, when ?

It should be plainly clear that we need knowledge management now more than ever. You can be sure that the COVID-19 crisis won't be the last crisis to come our way. And the next one might be even more severe because our supporting systems have taken some serious hits.

Enterprise of the future update: More disruption ahead

The concept of a phyle has experienced a resurgence, driven in part by the frustration people are feeling about being forced into making binary choices regarding the groups with which they want to be identified: public versus private, capitalist versus socialist, and liberal versus conservative.

Deep project management

Given the increased negative media exposure that comes from project failure, organizations need more tightly integrated, intelligent project management systems, in addition to people who have the requisite skills. This need will grow as systems continue to become more complex and timelines more tightly compressed.

Boosting knowledge worker engagement through mentoring

If your employees aren't engaged, knowledge simply can't flow to the extent that's needed in order to compete in the global economy.

Bringing adult supervision to machine learning and AI

Human and machine knowledge governance has many moving parts. No governance means leaving things to chance. Too much governance means clogging up the system and slowing things down to a crawl. The trick is achieving the right balance based on your organization's size, goals, strategy, and risk profile.

Flipping data science

No matter how much "intelligence" is programmed into a computer, it will very likely never understand the results it produces. Doing so takes human cognition, intuition, judgment, and other ways we humans make sense out of data.