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.
Dispatches from the edge
07 Jul 2022
Edge-of-chaos decisioning means being continually informed on the critical elements needed to make better, faster decisions.
The critical part of critical infrastructure
08 Jul 2021
Whether we're talking about infrastructure to support the flow of goods or the flow of knowledge, all require energy, and lots of it.
The coming blue wave
05 May 2021
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.
Decentralized knowledge management
05 Nov 2020
Decentralization, though a boon to technology vendors, poses a unique set of challenges and risks for information and knowledge managers to grapple with.
The twisted case of facial recognition
04 Sep 2020
Machine translation continues to make strides forward. Facial recognition, on the other hand, has entered the twilight zone.
Bringing adult supervision to machine learning and AI
01 Nov 2019
Human and machine knowledge governance has many moving parts. No governance means leaving things to chance. Too much governance means clogging up the system and slowing things down to a crawl. The trick is achieving the right balance based on your organization's size, goals, strategy, and risk profile.
Ethical issues in AI and cognitive computing
06 Sep 2019
Many innovations from the past needed the insight of entrepreneurs as well as technologists to change the world. That's also the case with machine learning and AI.
Coming soon to your newsfeed —Ethics and AI
11 Mar 2019
People need to be sensitive to the many ways ethical judgments are being baked into the fabric of their AI projects.