AI made me obsolete
The only way to stay in the game is to reinvent yourself repeatedly.
Hi there! I'm Phil Dearson - an idealistic skeptic and experienced digital leader based in the UK. I've advised over 200 organisations across almost every industry.
Some highlights
Processing for retrieval
Having previously covered the Capture part of the CPR approach, now we look at Processing and Retrieval
Frictionless capture
Techniques for capturing useful stuff in your personal database or second brain.
Your personal database
PKM enthusiasts sometimes refer to personal databases as their second brain. Today, mine is souped-up with AI to allow for additional laziness.
Forget your digital strategy - do this instead
An 8 step process for incorporating digital into your existing strategy.
Your organisation exists to serve people's needs
It’s easy to lose sight of the point of having an organisation in the first place.
Innovation - it's economics all the way down
Innovation occurs in the dizzying interplay of forces across all levels of society.
All articles
Decoding tech trends and the potential of emerging technologies.
Threads - will we never learn
Please don't get excited by Meta's new Twitter competitor Threads. It's the same old unethical, exploitative BS wrapped up in a new skin.
The age of synthetic computing
What sets Synthetic Computing apart is its ability to understand context and establish connections across domains.
Priorities for a new world
With so many options, and such wide-ranging change across so many functions, how can you possibly prioritise?
Remembering magic and logic
For charities, the main trouble with the old-school procurement approach is that it risks excluding the very people that can help you the most.
Getting started with generative AI for charities on a budget
In this article, we will explore some of the ways you can begin to create generative AI content without breaking the bank.
How to predict the future
Projected futures based on the current state of things, or how things have been in the recent past, are poor predictors of the actual future. Randomness shouldn't be underestimated.
