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.
Do 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: IOT in 2026
There is a “Cambrian explosion” of AI capabilities right now, and it’s spreading to the IoT space. Including the emergence of the Artificial Intelligence of Things, or AIoT, in which systems identify patterns and trends, deliver actionable insights, make predictions, and then automate actions. The potential goes beyond LLMs and chatbots:
- Messy, duplicated data turns into confident actions.
- Security moves from “protect data” to “control autonomy.”
- Value shifts from dashboards to specific automated decisions with clear guardrails.
https://www.itbrew.com/stories/2026/01/14/iot-and-ai-are-working-together-to-evolve-capabilities
https://www.iotinsider.com/iot-insights/what-does-internet-of-things-mean-in-2026/
The business owner question
If AIoT can automate decisions at the edge, which single decision in your business would you trust a machine to make in 90 days — and what would have to be true for that to be safe and profitable?
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/
Radar Trends to Watch: January 2026
Developments in AI, hardware, security, and more.
https://www.oreilly.com/radar/radar-trends-to-watch-january-2026/
Agentic AI Unveiled: The Future of Intelligent, Autonomous Systems
Agentic AI operates through a cycle of perception, reasoning, action, and learning. It gathers data from its environment, interprets context, and acts proactively based on predefined goals. Another standout feature is reinforcement learning, which allows agentic AI to refine its behavior through feedback. Moreover, its advanced language capabilities also enable it to manage multi-step tasks with minimal guidance, making it suitable for roles like virtual assistants or automated customer support.
As enterprise risk rises, AI agent control is cast as critical infrastructure
Enterprises are rapidly adopting artificial intelligence, but firms are struggling to match deployment with strong AI agent guardrails, from clear ownership to secure-by-design architectures, to keep maturing agents within acceptable risk boundaries. Check out RisQon (a client of mine).
What does ‘Internet of Things’ mean in 2026?
The emergence of the Artificial Intelligence of Things, or AIoT, in which systems identify patterns and trends, deliver actionable insights, make predictions, and then automate actions.
https://www.iotinsider.com/iot-insights/what-does-internet-of-things-mean-in-2026/
Why Human-Centered Data Analytics Matters More Than Ever
From optimizing metrics to designing meaning: putting people back into data-driven decisions
https://towardsdatascience.com/why-human-centered-data-analytics-matters-more-than-ever/
IoT and AI are working together to evolve capabilities
There is a “Cambrian explosion” of AI capabilities right now, and it’s spreading to the IoT space. For professionals in that sector, he said, the potential goes beyond LLMs and chatbots.
https://www.itbrew.com/stories/2026/01/14/iot-and-ai-are-working-together-to-evolve-capabilities
Next Gen Innovations Navigating the Future of Technology
Intelligent systems and augmented decision making, autonomous and self-optimizing technologies, immersive digital environments and next-generation connectivity and distributed intelligence.
https://www.precedenceresearch.com/insights/next-gen-technology-innovations-future-strategy
AI Governance Is the Next IT Battleground
Approaching governance for unstructured data versus structured data requires new skills and tools that are now maturing.
https://thenewstack.io/ai-governance-is-the-next-it-battleground/
How Real-Time Data Helps Battle AI Model Drift
Real-time data transforms AI model drift management from periodic model maintenance into continuous system operations, enabling faster detection, smarter adaptation, and safer deployment of AI at scale.
https://www.rtinsights.com/how-real-time-data-helps-battle-ai-model-drift/
