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.
The next enterprise architecture asset: Ontologies for AI
Before you deploy another AI agent, ask: do your systems even agree on what your data means? An ontology is a structured framework that moves from controlled vocabularies to taxonomies to knowledge graphs. Without it, your agents make confident, expensive mistakes. The model is not the moat. Shared meaning is.
- https://moderndata101.substack.com/p/the-ontology-pipeline-refresh
- https://www.cio.com/article/4169618/the-next-enterprise-architecture-asset-ontologies-for-ai.html
Most organisations are racing to deploy AI without a shared language for their own knowledge. Data chaos, cognitive debt, context rot — they all start at the ontology layer. Do your systems agree on what your data means — or is every AI agent speaking a different language?
The other prompts:
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‘No one has done this in the wild’: study observes AI replicate itself
World is approaching point where no one can shut down a rogue AI, says director of body behind research
5 plays that CEOs must make to become AI-first
Rethinking C-suite, the AI flywheel, customise the AI mix, orchestrate intelligence (human and AI), and expect unpredictable futures.
https://www.ibm.com/thought-leadership/institute-business-value/c-suite-study/ceo
Govern citizen development to avoid data pipeline downtime
Low-code/no-code and vibe coding require data leaders to shift from gatekeepers to architects of trust to maintain data integrity and keep pipelines running reliably.
Redesigning Your Marketing Organization for the Agentic Age
As AI accelerates product development and expands marketing’s responsibilities, most marketing organizations are struggling to keep up because their operating model—sequential, siloed, and coordination-heavy—hasn’t changed. The solution is a new structure built for human-agent collaboration.
https://hbr.org/2026/05/redesigning-your-marketing-organization-for-the-agentic-age
AI Is Starting to Build Better AI
Recursive self-improvement is emerging, but humans are still in the loop
https://spectrum.ieee.org/recursive-self-improvement
AI and the Infinite Loop
Large language models are designed for closure. Every prompt is an incomplete pattern, and the model’s only job is to finish it. There’s no lingering or sitting with uncertainty. It resolves and moves on. The human mind works differently, and this is the part that gets overlooked.
https://www.psychologytoday.com/us/blog/the-digital-self/202605/ai-and-the-infinite-loop
Why Data Governance Fails When Only IT Is In The Room
Data governance is how an organization builds the foundation for everything it wants AI to do. That foundation has to belong to the business, not just the team managing the servers.
https://www.forbes.com/councils/forbestechcouncil/2026/05/12/why-data-governance-fails-when-only-it-is-in-the-room/
