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.
Researchers say theology matters in future of artificial intelligence
Every LLM encodes assumptions about what understanding looks like. Theology has substantive contributions to offer on issues such as language and meaning — areas where the assumptions embedded in AI systems are rarely made explicit. The model is not the moat. The meaning is.
https://uk.news.yahoo.com/researchers-theology-matters-future-artificial-040000558.html
What assumptions about language and meaning are embedded in the AI systems your organisation is adopting — and who is asking?
The other prompts:
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Companies Winning with AI Built the Data Layer First
Every enterprise wants to be AI-driven. Fewer are willing to do the unglamorous work in the data layer. The organizations pulling ahead first create a strong data foundation and build intelligence on top of something they actually trust.
https://www.databricks.com/blog/companies-winning-ai-built-data-layer-first
Rethinking Data Risk And Governance In The Age Of AI
Don’t treat data as a commodity, understand the different types of data, risk, governance, and stewardship.
Aramco’s citizen developers accelerate digital transformation
With over 2,000 employees building their own apps, Aramco’s BeyondØCode programme offers a blueprint for bottom-up innovation at scale
https://www.meed.com/aramcos-citizen-developers-accelerate-digital-transformation
Is AI about to fracture the software market?
A proliferation of software has emerged at the edge of organisations over the last fifteen years. These tools abstract data, manage workflows and sit on top of core systems. These systems do not own the data. They do not own the policies or the business logic. They simply abstract the information.
https://www.enterprisetimes.co.uk/2026/05/01/is-ai-about-to-fracture-the-software-market/
Why your data infrastructure — not your AI model — will determine whether Agentic AI scales
Data Infrastructure Is the Binding Constraint
https://fortune.com/2026/04/30/agentic-ai-data-infrastructure-readiness-scale/
Most AI coding is “like taking your Ferrari to buy milk”: IBM’s Neel Sundaresan
People will pick the latest [Claude Opus 4.7] or whatever. And they might be running a simple prompt, but it will cost $40 for a million tokens,” he says. “It’s like taking your Ferrari to go buy milk. You don’t need to.”
https://thenewstack.io/ibm-bob-agentic-coding/
