The future is future fitness. The advantage isn’t prediction. It’s how fast your team can notice change and respond. Pick one mindcandy prompt below. Discuss it. Decide your moves.
If you want you a repeatable operating rhythm to sense signals early, decide priorities faster, and act with real strategic options, click here.
Today’s prompt: Why data governance is becoming core infrastructure for AI
Privacy, AI, data governance, and security are no longer separate conversations. It is all collapsing into one requirement—trust. Organisations are investing heavily, but maturity is low. Translation: everyone knows it matters; very few can execute it day-to-day.
Other prompts:
My latests book about books about AI
Data, acceleration, and the future of intelligence: Lessons from 25 core books about AI, technology abstraction, and consciousness.
https://www.ronimmink.com/product/a-book-about-books-about-ai/
Davos: Waiting on quantum computing is not an option
The gist of the discussion is that quantum technology is no longer just a topic for the laboratory. It is a strategic necessity that will determine the economic and security policy relevance of a country and its economy in the coming decades.
https://www.cio.com/article/4122273/davos-waiting-is-not-an-option-in-quantum-computing.html
Setting up data governance bodies to boost mission value
How organizations can unlock greater data efficiency and value through clear direction, effective guidance, and a well-defined structure set up by a data governance body
3 risks hindering enterprise-ready AI — and how low-code workflows help
Addressing the hidden risks blocking enterprise agentic AI
https://www.techradar.com/pro/3-risks-hindering-enterprise-ready-ai-and-how-low-code-workflows-help
Trust at scale: Why data governance is becoming core infrastructure for AI
Privacy, AI, data governance, and security are no longer separate conversations.
Agentic AI meets integration: The next frontier
A solid integration strategy is non-negotiable for safe, scalable autonomous systems. Learn how to build the right backbone for your AI initiatives.
https://thenewstack.io/agentic-ai-meets-integration-the-next-frontier/
The Futility of Organisations Pursuing Advanced Technologies While Holding on to Legacy Thinking.
Legacy code slows development. Legacy architectures limit scalability. Legacy systems become brittle, expensive to maintain, and increasingly misaligned with the demands of the business.Yet there is a more subtle—and far more dangerous—form of legacy still embedded in many organisations: legacy thinking.
https://www.linkedin.com/pulse/why-legacy-thinking-more-dangerous-than-code-alex-mcdonnell-vx2ec/
Explainability-Driven Data Resilience: The Gold Standard for Compliance
Regulators, insurers, and customers don’t just want to know that your business is protected; they also want you to show the path of your data, demonstrate the controls, and prove, with clean logs. This is the shift to explainability-driven resilience. Fast and reliable recovery, with traceability and auditability built into every step
https://www.cdotrends.com/story/4868/explainability-driven-data-resilience-gold-standard-compliance
AI’s Last-Mile Failure: Why ERP Value Breaks Down After the Investment
AI insights are often lost at the last mile due to organizational structures that do not support effective decision-making processes, highlighting the need for companies to redesign workflows and accountability around AI-driven insights.
https://erp.today/ais-last-mile-failure-why-erp-value-breaks-down-after-the-investment/
The Math on AI Agents Doesn’t Add Up
LLMs are incapable of carrying out computational and agentic tasks beyond a certain complexity.
https://www.wired.com/story/ai-agents-math-doesnt-add-up/
