#Mindcandy are scenario prompts prompts to help companies formulate strategy. See https://www.ronimmink.com/strategy-development/
- If you need help with developing these prompts, or want to shoot the breeze and talk about books, strategy, leadership, innovation and future trends, you can book a free appointment here.
- If you want me to speak at your event, or book me as a coach, contact me at ron@ronimmink.com
- If you want to receive all near daily mind candies, you can subscribe here https://scenarioprompts.substack.com/.
Digital transformation #mindcandy 25 April 2025
Today’s topics are the frontier firm, lighthouse lessons, technical project management, confidential computing, AI and computational embodiment and data-based decision-making.
What if AI can already ‘feel’?
2025: The Year the Frontier Firm Is Born
https://www.microsoft.com/en-us/worklab/work-trend-index/2025-the-year-the-frontier-firm-is-born
Intelligence on tap will rewire business. Every leader needs a new blueprint.
Lighthouse lessons: Four mindsets to make digital transformation stick
Prevent process debt, invest, assetise, and localise.
Why Technical Project Management Doesn’t Work Anymore
https://www.inc.com/joe-procopio/why-technical-project-management-doesnt-work-anymore/91179044
The concept of central planning is the problem.
Confidential Computing and Data Security
https://www.clouddatainsights.com/confidential-computing-and-data-security/
Unlike traditional security measures that primarily shield data at rest and in transit, confidential computing safeguards data during processing. This addresses a critical vulnerability in data security frameworks.
What if AI can already ‘feel’?
https://stateofthefuture.substack.com/p/what-if-ai-can-already-feel
AI Already Has a Body: Just Not One We Recognise. This computational embodiment encompasses hardware-level awareness: direct sensing of CPU temperature, clock speeds, voltage fluctuations, and cooling system status providing “bodily” feedback about operational state.
What’s wrong with data-based decision-making?
https://www.datasciencecentral.com/whats-wrong-with-data-based-decision-making/
Bad data, wrong context, edge cases, statistics, correlation vs causality and speed.