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. Send this your leadership team in your organisation — or start the conversation yourself.
Data liquidity leads to AI success
Data liquidity is the ease with which data can be reused, recombined and put to work across the organisation. Not collected. Not stored. Not admired in dashboards. Used. Again and again, in new combinations, by people and systems that need it. AI cannot create organisational intelligence from organisational sludge. Data trapped in silos is strategic debt.
Architecture matters. Preparation matters. Permissioning matters. It is the foundation of your AI advantage.
The leadership question
Is your data a reusable asset you can recombine on demand.
Pick one high-value AI use case and trace its data backwards through architecture, preparation, and permissions — fix the friction there before buying another model.
The other prompts:
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The Anatomy of an AI-Native Org
Why, what, how as the layers. Agents underneath
https://ajeygore.in/content/the-anatomy-of-an-ai-native-org
Is technical literacy the new MBA?
Traditional business degrees once guaranteed a path to leadership, but today’s market increasingly rewards technical literacy over classroom credentials. The shift reflects a fundamental change in how companies measure capability and potential
https://www.fastcompany.com/91550835/is-technical-literacy-the-new-mba-technical-skills-mba
Why AI in Manufacturing Fails Without Quality Data
The ones who will win with AI are not the ones with the most data. They are the ones who can actually use it.
https://www.qualitymag.com/articles/99678-why-ai-in-manufacturing-fails-without-quality-data
NVIDIA Announces Halos for Robotics, the Industry’s First Full-Stack Safety System for Physical AI
The next generation of autonomous robots will operate in dynamic environments alongside humans, using AI foundation models, accelerated compute and distributed sensors. Scaling these systems requires a full-stack safety architecture.
Unapproved AI use shows adoption is outpacing governance
While there’s little question AI is now more or less ubiquitous, data also indicates big variations in the extent to which AI is being used, and also in how well it’s being used
https://www.raconteur.net/risk-regulation/unapproved-ai-use-shows-adoption-is-outpacing-governance
How to Design Agentic Systems Around the Implicit Rules that Govern Your Company
As companies rush to deploy AI agents, they are discovering that much of their most important organizational intelligence lives outside formal systems and documented processes
If AI robots can be tricked into ‘going rogue’, what are the implications?
The danger with the new breed of AI robots is that, because they use human language to plan their actions, they can be tricked into ‘going rogue’.
When IT loses sight of enterprise low-code
Gartner says worldwide spending on low-code development technologies will reach $58.2 billion by 2029. It also predicts that more than 80% of all new business applications will be developed using AI-powered low-code and no-code platforms by then, up from 20% in 2024.
https://www.spiceworks.com/software/when-it-loses-sight-of-enterprise-low-code/
The Trust Overlay: Why Decentralization is the “Second Act” of Digital Transformation
For the past decade, the narrative of digital transformation has been dominated by connectivity. We integrated our IT systems with middleware, moved to the cloud, and deployed IoT. But as we enter the next phase of Digital Transformation, connectivity alone is no longer the differentiator. The next frontier is verification.
AI Collapses on a Classic Psychology Test. What It Reveals Could Stall Human-Level AI.
The findings suggest today’s AI attention systems are fundamentally limited. Adding mechanisms similar to “those in biological attention is crucial for achieving artificial general intelligence.
The future-ready chief data officer: architect of the data-driven enterprise
While most leadership teams appreciate the strategic value of data, fewer understand how a catalyzing leader can materially advance data quality, access, and activation across a complex enterprise. This gap creates a unique opportunity for today’s Chief Data Officers (CDOs).
https://www.pwc.com/us/en/services/consulting/cybersecurity-data-tech-risk/library/future-ready-cdo.html
