On Chat AI and BS
09 Sep 2024
So, I'm sticking with hallucinations for all of chat AI's statements, true or false. But that leaves us with a question: Why isn't there a word that perfectly expresses this situation? The answer is easy: LLMs are doing something genuinely new in our history. Our lack of a perfectly apt verb proves it.
Inefficient at the speed of light
09 Sep 2024
While process mining started years ago as a mainly data-driven exercise, its stated goal is to be knowledge-driven. Given KM's multidisciplinary scope, we can play a major role in achieving that goal. Any process, no matter how simple, has the potential to reach across an entire business ecosystem, including all stakeholders. This seems like a perfect match for collaborative workflow, AI/ML, knowledge graphs, human sensemaking, and many of the other arrows in our KM quiver.
The rise and potential fall of the citizen developer
09 Sep 2024
The citizen developer movement was heralded as a revolution. Like most revolutions, things have sometimes gone differently than planned. The logic is sound, empowering those who know the business best to build the tools and systems needed to do their job. Ah, if only things were that simple …
What is Bharat and why should you care?
08 Jul 2024
Knowledge should always be considered as accretive, not something that's "here today, gone tomorrow."
Pushing the boundaries of knowledge curation
02 May 2024
Knowledge democratization occurs in two directions, seemingly engaged in an endless tug of war: acquisition and dissemination.
The third place of knowledge management
02 May 2024
The third place I alluded to goes far beyond mechanistic KM or curated knowledge and takes us into the actual world of tacit knowledge. Here, knowledge comes from and often remains as personal experience, impressions, and intuition; it's undocumented and often hidden and elusive.
Should we go back to paper-based KM?
13 Mar 2024
The sheer volume of largely useless data we have accumulated across the years severely limits the ability of AI to work well, and it comes at a heavy environmental and financial cost.
The flip side of generative AI: Extractive AI
13 Mar 2024
Extractive AI takes a more comprehensive and transparent approach to machine intelligence.
The five ages of data
08 Jan 2024
Perhaps this latest phase in the history of data will bring us to accept inexplicable complexity as a property of the world. We could view this as pure chaos, but thanks to having lived through the past four ages in rapid succession, we might instead recognize that chaos as being rich with endless mysteries we will never uncover completely.
The trust problem with GenAI
08 Jan 2024
2023 has been the year of ultra-hyping GenAI, and who is paying for this deluge of marketing? Technology vendors that want us to buy it. Again, it's impressive stuff, but when we shift from selling to buying and ultimately using it, many tough questions need to be asked.
Get your game on: KM skills needed for reliable use of LLMs
07 Sep 2023
There is no questioning that generative AI is here to stay, but its use in mission-critical work has some way to go before it can be trusted and let loose.
Reframing the KM discussion
08 Mar 2021
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.
Thinking about KM differently
15 Sep 2020
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.
Data is never just data
04 Sep 2020
As with all tools, data has uses because of complex contexts that include other objects, physics, social norms, social institutions, and human intentions.
Deep project management
09 Mar 2020
Given the increased negative media exposure that comes from project failure, organizations need more tightly integrated, intelligent project management systems, in addition to people who have the requisite skills. This need will grow as systems continue to become more complex and timelines more tightly compressed.
Flipping data science
06 Sep 2019
No matter how much "intelligence" is programmed into a computer, it will very likely never understand the results it produces. Doing so takes human cognition, intuition, judgment, and other ways we humans make sense out of data.
Rebooting the information refinery
28 Dec 2018
In the field of knowledge management, of course, the idea of turning data into information into knowledge has been a foundation concept for knowledge managers. But frankly, the ability to achieve this alchemy of data to knowledge has not been broadly demonstrated in practice. A next generation information refinery is required to make something meaningful and valuable out of the raw data flying around the firm and throughout the internet economy.
A deep future approach to KM
02 Jul 2018
We're familiar with the near-term portion of the time spectrum—from femtosecond lasers used in eye surgery to high-frequency trading in milliseconds on the major securities exchanges. Unfortunately, the extreme opposite end of the time spectrum, the "deep future" receives little if any attention. Decisions in fields such as genetic engineering, nuclear energy, geopolitics and the like can have serious implications for human civilization. But the impact of those decisions might not become apparent for many thousands of years and hundreds of generations.
Thingy words
28 May 2014
If you use the word "content" to talk about stuff on the Web, my friend Doc Searls is likely to give you a stiff talking-to. People don't write content. They write articles, poems, songs, etc.
Insights from AIIM
01 May 2009