The end of tech glory days
08 Jul 2024
The tech industry's glory days may be fading a little, but this is not a time for despair. It's an opportunity for renewal. By shifting to a needs-driven approach, the industry can ensure its relevance in a rapidly changing landscape.
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 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.
When is good enough enough?
02 Nov 2023
Our goal should be to improve the quality of knowledge assets and their accuracy and relevance in use. Much of this will come from human expertise and effort, increasingly combined with the power of AI.
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.
The evolution of the KM technology stack
12 Jul 2023
Historically, KM managers have tried to centralize knowledge assets into a single KM platform and curate within it. But outside of a few niche use cases, this has not been feasible for many years. Combining few KM human resources and an increasing data deluge makes it impractical. That is not to say we don't have the tools and resources to manage knowledge assets effectively; rather, we need to recognize corporate realities, be open to innovation, and embrace radical change.
AI technologies upending traditional KM
08 May 2023
If we are not careful and proactive about it, the concept and importance of knowledge itself may soon become blurred or lost.
The effect of ChatGPT on KM
08 Mar 2023
At this peak of ChatGPT hype, we have to ask what value it may bring.
Introducing work intelligence systems
09 Jan 2023
Technological advances are significant and can bring huge benefits, but only as long as you understand that they can advise, augment, and support, but not replace, you.
The human capability to under-or overestimate
03 Nov 2022
Yet maybe the most glaring example of underestimating humans we encounter in our work is in the world of AI. It's partly the term "intelligence" in AI that misleads so many, as AI is not intelligent in the same way that humans are intelligent. Though powerful, AI ultimately matches patterns it has learned, and even the smartest of AI systems is limited in how many patterns it can match and make sense of.
To hyperautomate or not to hyperautomate?
07 Sep 2022
The logic behind hyperautomation is clear: Automate everything that can be automated. The practicalities of that are far less clear.
Finding the weakest link
07 Jul 2022
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.
The Law and AI
04 May 2022
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.
Knowledge unchained
04 Mar 2022
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.
Getting to the future of KM
12 Jan 2022
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.
From robots to digital workers
05 Nov 2021
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 big opportunity for knowledge management
08 Sep 2021
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.
Can AI be ethical?
08 Jul 2021
Without inherent bias in the data, AI would not make decisions. Bizarre though it may seem, AI is dependent on bias being present.
How we innovate matters
05 May 2021
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.