KMWorld 2023 Video - Chat AI and Metadata

Can metadata generate its own data?

KMWorld 2023 Video - How to Guard Against AI Bias

AI reflects the conscious and unconscious biases of the knowledge that's fed into it and the learning model at its core. So how do we arrive at a better understanding of our AI systems' biases-knowing that we may share them and have contributed to them-and take measures to curb and counteract them?

JOIN US AT KMWORLD NOVEMBER 6–9, 2023 JW MARRIOTT WASHINGTON, D.C.

It's an exciting time for KM, with new technologies and new approaches sparking new opportunities. The KMWorld conference, the largest global gathering of KM thought leaders, practitioners, and authors, returns to Washington, D.C., this November.

OBSERVATIONS ON KM: Past, Present, and Future

Pairing human knowledge with technologies that allow for data extraction, information analysis, and knowledge insights is the future of KM.

David Weinberger keynote address at KMWorld 2012: facilitating knowledge sharing

Knowledge as we've known it for 100 years has been knocked over by little hyperlinks, says David Weinberger, a senior researcher at Harvard's Berkman Center for Internet & Society and co-director of the Harvard Library Innovation Lab. In his keynote address at KMWorld 2012, Weinberger explores the new boundaries of knowledge management.

TEXT ANALYTICS: Compelling products that pack a punch!

"The volume, complexity and importance of medical information used in support of diagnosis and treatment of illness, as well as the dramatically rising costs of healthcare, drive initiatives to improve information use" ...

The changing nature of knowledge

Longtime KMWorld columnist David Weinberger's latest book is Too Big To Know: Rethinking Knowledge Now That the Facts Aren't the Facts, Experts are Everywhere, and the Smartest Person in the Room Is the Room. His previous works include, The Cluetrain Manifesto, Small Pieces Loosely Joined and Everything is Miscellaneous. He is a senior researcher at Harvard's Berkman Center for Internet & Society and co-director of the Harvard Library Innovation Lab...

The Whole Earth BPM Catalog

There are business processes, and then there are processes that mean business. Not all work activities are created equal.

Take me, for example. A work process for me is: Decide to write an article; worry about it; pace the floor, fret, stew and finally get it done at the last minute. Most of the time. Doesn't sound like much of a "process," does it? You'd think that after 30-odd years of doing this, it would get easier. Nope. But I try to keep in mind the advice my friend David Weinberger gave me once: "Crappiness is hard to detect, but lateness is apparent immediately" . . . .

$3M in funding forwards Bardeen’s AI agent productivity platform for enterprise workers

Bardeen, a provider of AI agents capable of automating repetitive knowledge work using a natural language interface, is announcing that it has secured $3 million in additional funding, bringing the company's total funding to date to $22 million. This investment—-coming from Dropbox Ventures and HubSpot Ventures—will serve to advance Bardeen's mission of delivering fully autonomous AI that drives efficient process automation.

The Difference Between Traditional Programming and Machine Learning

Everyday Chaos author David Weinberger talks machine learning versus programming during his KMWorld Connect 2020

Day 2 of KMWorld Connect 2020 opens with a focus on AI

Opening keynote speakers include David Weinberger, Paul Nelson, Robert Pashinsky, and Christophe Aubry

David Weinberger talks information organization in a more digitally connected world at KMWorld Connect 2020

David Weinberger discussed "Miscellaneous Organization in the AI Age" during his KMWorld Connect 2020 presentation

Hop on the Cluetrain

If that voice sounds familiar, it might just be your own

Microsoft: We're Here (almost)

The industry reacts with cautious approval to the Microsoft KM news. KMWorld exclusive report.

The portal craze both helps and hurts KM, and that's good.

The portal craze both helps and hurts KM, and that's good.

David Weinberger's new book, Everyday Chaos, is honored with Axiom Award

When you try to develop a machine learning application that affects people, you quickly learn that fairness is far more complex than we usually think, and also that fairness almost always requires us to make difficult trade-offs

Humans in Loops, Flows, and Dialogues

I think we are entering—possibly are already in—the era of humans in the dialogue with AI, discovering our values, getting more specific about them, and altering their applications based on the specifics of our world and situation.If the old KM was about building, organizing, sharing, and leveraging knowledge, the new KM might also be about mastering the dialogue: using AI not just to retrieve our answers, but to help us finally articulate the right questions.

Why Embodied Knowledge Matters and Why AI Doesn't Understand

A machine-learning large language model doesn't have tacit knowledge. It consists of potential knowledge.

Me and Mr. Tibbs

Enter Mr. Tibbs, the personal AI agent I imagine having in a year or so. If Mr. Tibbs went through that filing cabinet, it would learn plenty. Of course, I'm imagining Mr. Tibbs version 4.0, which is not only smarter, but also magically has the physical mechanisms required to go through a stack of folders.

Conversation With an AI About Knowledge

This type of dialogue with a non-conscious machine will become commonplace. This could profoundly change education, expertise, and knowledge itself. It doesn't relieve us of thinking, but helps us to think more clearly and originally to confront challenges to our ideas.

The 12 Temptations of Knowledge

The intuitive appeal of regarding knowledge as a concept lies in a tempting belief that what's true is true. But knowledge is contextual in every possible way.

Beyond the Unknown Unknowns

The concept of unknown unknowns provides us with some cover for not anticipating changes that are impossible to predict.

The Dethroning of Deduction

AI's favoring of induction over deduction is the root of its power, for it lets it deal with the specifics that bedevil the application of broad major premises.

What’s Obvious Tells Many a Lie

Settled knowledge is, in essence, a strategic use of shortcuts, which is an excellent strategy given our limited time and capacities.

BPM: On-Premise, Cloud and Mobile [January 2012]

Enterprise Search [April 2006]

Enterprise Knowledge Management [October 2002]

Enterprise Content Management [May 2001]