Digital transformation #mindcandy: Control the data, control the future

I help organisations become future-fit. Digital transformation #mindcandy scenario prompts are designed to stretch your imagination and sharpen situational awareness. Find out more here.

Today´s prompt:  Control the data, control the future

Why CIOs must reclaim the data layer in the Age of AI. The next generation of enterprise architecture must start with a unified, trusted, real-time data layer. This intelligent foundation connects, cleanses, and governs data across business domains, ensuring accuracy, context, and control.

https://www.cio.com/article/4095982/control-the-data-control-the-future.html

Mindcandy club

If you want early access to the new MindCandy Club — weekly mindcandy, CEO-level scenario prompts, AMAs and personal access, comment MC.

Other prompts:

You are the upgrade

You are the upgrade, augmented natural intelligence as the only way forward (e-book, also available as a Bookbuzz session)

Data, acceleration, and the future of intelligence: Lessons from 25 core books (and links to 114 other books) about AI, technology abstraction, and consciousness.

The factory of the future: why manufacturers must prioritise data and optimisation

There are few industries facing as many complex and intersecting operational challenges as manufacturing. An ever-evolving business climate is disrupting the decision-making progress as much as it is impacting supply chains

https://www.themanufacturer.com/articles/the-factory-of-the-future-why-manufacturers-must-prioritise-data-and-optimisation/

Art and Algorithms: What CEOs Should Look For in an AI-First Chief Marketing Officer

The AI-first CMO will partner with the CTO to build a martech stack that breaks down silos and connects demand signals directly to the company’s growth agenda.

https://www.bcg.com/publications/2025/what-ceos-should-look-for-in-an-ai-first-cmo

Composable innovation: a study in stack modernisation

Technology modernisation is a perpetual priority for CIOs, who must tackle a range of challenges to deliver successful innovation. Also read https://www.ronimmink.com/apis-as-an-automatic-innovation-ecosystem/

https://www.raconteur.net/technology/composable-innovation

The New Speed Of Business: Preparing ERP For The AI Era

Leading edge companies no longer see ERP as a back-office ledger but as a decision platform that connects operations, finance, and customer data in one intelligent system.

https://www.forbes.com/sites/sap/2025/11/25/the-new-speed-of-business-preparing-erp-for-the-ai-era/

Control the data, control the future

What are data quality dimensions?

The six core dimensions—accuracy, completeness, consistency, timeliness, validity and uniqueness—help organizations maintain data integrity, assess the correctness of data elements and prevent data quality issues.

https://www.ibm.com/think/topics/data-quality-dimensions

Insurance Companies Are Terrified to Cover AI, Which Should Probably Tell You Something

Top insurance firms like AIG, American Financial Group’s Great American, and WR Berkley are begging US regulators to let them exclude AI liability from their policies.

https://futurism.com/future-society/insurance-cyber-risk-ai

Defining the Ideal Database for the AI Era

Rigid schemas and fragmented data architectures limit AI innovation. Explore the core features of modern data platforms and how to migrate effectively.

https://thenewstack.io/defining-the-ideal-database-for-the-ai-era/

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