Maybe the rise of machine learning will so transform our model of intuition that we'll start to trust it much more.
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.
The Law and AI
AI is very good, and light years ahead of where it was just a decade ago, but it is far from "intelligent." Indeed, it is only as good as the data it is provided and needs close human supervision.
In a book, not knowing how you got to a page would be a sign of a failed structure. On the internet, that can be a sign of a deeply rewarding intellectual expedition.
Fusion, fission, or something else?
When it comes to applying KM, the key is identifying and connecting the dots in meaningful and synergistic ways.
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.
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.
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.
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.