What ‘sentient’ AI teaches us
As Gary Marcus says, a large language model is just a "spreadsheet for words" that lets it act as a massive autocompletion system that knows how words go together but has not the foggiest idea how those words connect to the world.
The final frontier
Given the rapid expansion of satellite communication webs in support of IoT, the volume of data will continueto explode.
To hyperautomate or not to hyperautomate?
The logic behind hyperautomation is clear: Automate everything that can be automated. The practicalities of that are far less clear.
Dispatches from the edge
Edge-of-chaos decisioning means being continually informed on the critical elements needed to make better, faster decisions.
AI’s ways of being immoral
The most powerful ML can require the resources of wealthy organizations. Such organizations usually have at best mixed motivations, to be charitable about it.
Finding the weakest link
Though traditional and often reluctant to change, the supply chain sector is now reassessing its lack of embrace of technology and, significantly, rethinking long-established processes.
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.