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.
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 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.
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.