We often overestimate the value of grand documents over the unglamourous acts of daily documentation on projects. With the advent of AI-powered KM platforms, it’s time to revisit the fundamentals of team handbooks and documentation systems, if we are to generate relevant and timely knowledge insights for people.

AI transformation isn’t only about building or buying new systems. New technology often faces systemic inanities in legacy organisations.

There are widespread concerns about how AI will disrupt employment and render many people jobless. I argue that jobs that involve routine, non-novel, and acceptably risky knowledge work will be prime candidates for such disruption.

AI has disrupted our search and content creation experience. To recognise this shift, Nagarjun Kandukuru and I have written an AI-first KM manifesto, which we’d like to introduce to you.

What should the purpose of artificial general intelligence be? Cut jobs? Slash costs? I argue that the purpose could be to elevate our creativity.

Consumer AI is outpacing enterprise AI tools. The bigger the chasm between these experiences gets, the greater the security and engagements risks for employers.

LLMs promise to make sense of a company’s unstructured information and surface meaningful information to each user. But a KM strategy that relies only on LLMs is incomplete.