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.
The rise of machine teaching
In contrast to some jobs that can indeed be automated and removed from the human payroll, KM practitioners have the potential to see their skills in much higher demand and volume in the future.
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.
A little eternal knowledge is a dangerous thing
Even if our business knowledge were as eternal and omnipresent as Newton's laws, we'd still have to apply that knowledge to a world that is unfathomably complex and ever-changing.
Decentralized knowledge management
Decentralization, though a boon to technology vendors, poses a unique set of challenges and risks for information and knowledge managers to grapple with.
Thinking about KM differently
Moving to a push rather than a pull mentality simply means that we now have the technology to tag, manage, and interpret information automatically and near instantly—automatically pushing the right information to the right person (or application) at the right time.
The twisted case of facial recognition
Machine translation continues to make strides forward. Facial recognition, on the other hand, has entered the twilight zone.
Data is never just data
As with all tools, data has uses because of complex contexts that include other objects, physics, social norms, social institutions, and human intentions.
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.
The eureka moment
AI is beginning to develop some support for the thought process. As the technology improves, it's possible that AI will eventually be able to offer relationships and connections that still seem far-fetched.
Links then and now
Broken links used to be like potholes. Now there are entire neighborhoods that are gone.
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.
Thinking beyond the status quo
The technologies exist today to achieve almost any corporate or departmental goal. What is lacking is the nerve to think big and think beyond the status quo—to break barriers, to collaborate, and to share.
What happens when AI meets a pandemic?
This is what we can see clearly after some months of reading, watching, and listening to the pronouncements on the novel coronavirus crisis from around the globe: Content challenges continue to dog AI.
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.
The right time for knowledge management
A new generation is coming in—one that sees order in the chaos, spots previously invisible patterns, and not only embraces technology but grew up with it.
Science will not give up on hypotheses. But it already is becoming more willing to accept results based on the sorts of statistical analyses performed by machine learning. And it may be thatwhen science does rely on theories and laws, we will recognize that no matter how ironclad they are as generalizations, their application to a world of confetti will always and necessarily render them approximate and probabilistic.
Cognitive computing and AI begin to grow together
How do we manage the hype and promise for new inventions while making sure that they represent a realistic opportunity? Can we invent self-driving cars or a Boeing 737 MAX without exposure to the risks these innovations can pose to our lives?
250 Columns later
Knowledge management has indeed become a multi-threaded discipline, embracing just about everything related to knowledge.