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.
Do you want you a repeatable operating rhythm to sense signals early, decide priorities faster, and act with real strategic options? See how this works.
Today’s prompt: From connected infrastructure to intelligent ecosystems
Singapore is moving beyond digital plumbing.Connectivity is no longer the advantage. Coordination and intelligence are.
Infrastructure is becoming:
- Adaptive instead of static
- Predictive instead of reactive
- Ecosystem-based instead of organisation-bound
This shift is not about technology maturity. It’s about decision latency across systems, partners, and institutions. Most businesses are still optimising inside their own walls while the real leverage is moving between organisations.
The business owner question
If value is increasingly created at the ecosystem level, where are you still optimising locally—and missing system-level advantage?
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/
AI Moves to the Core of ERP: What Technology Leaders Should Expect
Executives must adapt their evaluation criteria for ERP vendors by prioritizing transparency of AI models, compatibility with specific industry requirements and integration capabilities with adjacent systems to ensure successful AI deployment.
https://erp.today/ai-moves-to-the-core-of-erp-what-technology-leaders-should-expect/
2026 Data Engineering Roadmap: Building Data Systems for the Agent AI Era
Today’s data engineers must become architects of context, curators of meaning, and builders of data systems that can serve both human analysts and autonomous AI agents.
https://eu.36kr.com/en/p/3631496123122945
Data sovereignty and the future of freedom: A vision for the AI era
Data sovereignty is not just about location, it’s about adaptability and vendor control in an era of distributed compute
The data quality paradigm shift has arrived
https://martech.org/the-data-quality-paradigm-shift-has-arrived/
We often place the blame for data quality on the system, because we’re not willing to fully say the quiet part out loud: The No. 1 factor in data quality is the people, the processes and the level of rigor in those processes. Today, we stand on the cusp of a significant paradigm shift.
AI Models Are Starting to Learn by Asking Themselves Questions
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence.
https://www.wired.com/story/ai-models-keep-learning-after-training-research/
The Future of Data Centers: An Enterprise Guide to 2030
Data centers will no longer be standardized remote facilities requiring constant human supervision, redundant power, and constant upgrades. They will be autonomous, aware of shifting demands, and unbounded by conventional constraints. These advances are driven by greater and differentiated demand from artificial intelligence (AI) and other advanced technologies. Check out TrimTabs (nanotubes).
https://www.infosys.com/iki/perspectives/future-data-centers-enterprise-guide.html
3 Ways Enterprises Can Scale AI Gains in 2026
Shadow AI, enterprise agents and data context
https://thenewstack.io/3-ways-enterprises-can-scale-ai-gains-in-2026/
A playbook for innovating with confidence, resilience, and trust
Cloud sovereignty is fast becoming a strategic imperative as organisations look to accelerate transformation and drive AI innovation—without compromising data protection. This report sets out the five key steps along the sovereign cloud journey.
https://www.pwc.com/gx/en/services/alliances/microsoft/cloud-sovereignty-without-compromise.html
The internet of stranger things: managing IoT risks
The top eleven risks that every security team should address to effectively close the gate on common IoT threats.
