The 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/
The Future Of Data Intelligence: Escaping The AI Maintenance Trap
The debate over whether agents or apps will rule the day is becoming irrelevant. They’re merging. In the near future, almost every digital interaction will have an agentic component. Applications will increasingly become simple interface “skins” layered on top of intelligent agents.
Why Digital Dexterity Is Key to Transformation
To make headway with digital transformation, executives are redefining the challenge: Build a workforce to take advantage of new technologies.
https://sloanreview.mit.edu/article/why-digital-dexterity-is-key-to-transformation/
The new role of QA: From bug hunter to AI behavior validator
For years, QA has operated on a simple principle: define the expected behavior, run the test, compare actual results to expected results. Pass or fail. Green or red. Binary outcomes for a binary world. AI systems have shattered this model completely.
The new role of QA: From bug hunter to AI behavior validator
Why Intelligence Without Authority Cannot Deliver Enterprise Value
Enterprises have built intelligence layers that can observe, predict, and recommend, but they have stopped short of allowing AI to execute decisions end-to-end. Here is what’s needed to overcome this.
https://www.rtinsights.com/why-intelligence-without-authority-cannot-deliver-enterprise-value/
Why The Data Trust Layer Is A New Architectural Requirement
As AI shifts from providing insights to executing actions, a cold reality is setting in: The biggest barrier to AI success isn’t technology or ambition—it’s data you can trust.
6 agentic knowledge base patterns emerging in the wild
Organizations are actively building agentic knowledge bases for AI agents. Here are six real-world approaches taking shape across the software industry.
https://thenewstack.io/agentic-knowledge-base-patterns/
The Rise of “Intelligent ERP”: The Self-Driving Enterprise
The “Enterprise Resource Planning” (ERP) systems of the past were “Data Graveyards”—complex, clunky, and reactive. In 2026, they have evolved into “Intelligent ERPs” (iERPs). These systems are the “Brain” of the modern Business, using Artificial Intelligence to not just “Record” what happened, but to “Actively Manage” the company’s future. The iERP of 2026 is a “Self-Driving System” that automates the routine, optimizes the complex, and provides a “Single Source of Truth” in real-time.
