You can’t predict the future. You can build the fitness to respond to it. #MindCandy is fuel for strategic conversation about what’s next.
Shadow AI Risks: Closing Enterprise Blindspots and Breach Costs
Your people are already using AI without permission. Personal accounts. Browser plug-ins. Coding assistants. Unapproved models. Agents nobody in IT can see. Not because they are stupid. Because they want to move faster than the organisation allows.
That is the real issue. Shadow AI is not only a technology risk. It is a signal that your official systems are too slow, too vague or too useless. IBM reports breaches linked to unsanctioned AI cost $670,000 more on average.
Shadow AI Risks: Closing Enterprise Blindspots and Breach Costs
The leadership question
Do you have a live inventory of every model and agent touching your business — or are you governing the AI you approved while being breached by the AI you didn’t?
Run a shadow amnesty. Thirty days, no penalties. Every team declares the unsanctioned tools they actually use, and why the sanctioned alternative failed.
The other prompts:
Free downloads
12 free books on strategy, innovation, intrapreneurship, AI, future trends and leadership. Each one distils the best thinking from dozens of business books into a single, actionable read. Every book is also available as a BookBuzz session, board briefing or keynote.
How IoT and Digital Twins Are Redefining Asset Maintenance
Imagine if your most critical equipment could talk to you. Not through cryptic error codes or late-night alarms, but through a constant, real-time conversation about its health, its stress levels, and exactly when it needs a tune-up. This isn’t a futuristic concept for aerospace engineers anymore. It is the reality of digital twin technology in the modern IoT era.
https://www.iotforall.com/digital-twins-asset-maintenance
Artificial Un-Intelligence: The Great Silicon Valley Brain Drain
This week, we seamlessly transitioned from the “AI will write your marketing copy” phase of tech utopianism straight into the “AI just handed the corporate keys to a random hacker and blew the annual IT budget by Tuesday” reality.
Where AI-Enhanced Data Analytics Is Headed Next
NLP-based analysis, business-aware AI, end-to-end analytics automation and adaptive analytics
Agentic AI Is Rewriting the Rules of Data Risk Management
Agentic AI is rapidly shifting how data is created, accessed, and acted upon across the enterprise. What’s required is a fundamental reframing of data risk itself.
https://www.bcg.com/publications/2026/managing-data-risk-in-the-age-of-agentic-ai
AI adoption for CFOs: Why trust defines the next era of finance
The promise of AI is undeniable, proposing unprecedented speed, deeper insights and a finance function that acts as the strategic engine of the business. Yet, ensuring trust remains a critical challenge.
https://www.raconteur.net/technology/ai-adoption-for-cfos-why-trust-defines-the-next-era-of-finance
Shadow AI Risks: Closing Enterprise Blindspots and Breach Costs
IBM reports breaches tied to unsanctioned models cost $670,000 more on average. Consequently, executives question whether productivity gains justify heightened enterprise risk.
https://www.aicerts.ai/news/shadow-ai-risks-closing-enterprise-blindspots-and-breach-costs/
Semantic Layer Architecture for Enterprise AI: The Five Core Components
Enterprise AI systems don’t fail because of weak models. They fail because the business logic behind those models is fragmented across warehouses, dashboards, and department-specific datasets, with no single authority governing what “revenue” or “active customer” means.
Citizen developers move AI closer to the work
Generative AI expands what citizen developers can build, making formal programs more important as business users create tools closer to real work.
https://www.techtarget.com/searcherp/feature/Citizen-developers-move-AI-closer-to-the-work
Scaling AI Through Data Fluency
Don’t focus on being “future-proof,” because you can’t be. The technology changes every six to 12 months. Instead, focus on being “pivot-ready.”
https://www.databricks.com/blog/scaling-ai-through-data-fluency
