Merging CHRO and CTO roles?

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Digital transformation #mindcandy 19 September 2025

The topics are you are 25 books about AI, IoT, vibe coding, merging CHRO and CTO roles, ERP, unified data, AI transformation, infrastructure, advanced analytics and data modernisation.

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.

5 IoT Lessons Learned Across Industries: From Factories to Farms

https://www.iotforall.com/iot-lessons-across-industry

Despite the diversity of environments and use cases, many organizations encounter strikingly similar challenges—and successes—when deploying IoT solutions.

Vibe Coding: What it Means, How it Works, and Why It’s Important

https://solutionsreview.com/business-process-management/vibe-coding-what-it-means-how-it-works-and-why-its-important/

Vibe coding represents a fundamental shift in how developers approach software construction. It moves beyond rigid adherence to formal methodologies toward a more intuitive, pattern-driven development process.

Should Your Company Merge Its CHRO and CTO Roles?

https://hbr.org/2025/09/should-your-company-merge-its-chro-and-cto-roles

As companies have struggled to get value out of new AI tools, some have decided to combine technology and HR departments under a single leader. But is that really the best solution for the problem of how to align talent and technology strategies?

What the 90s taught us about ERP: A legacy of failure

https://itbrief.asia/story/what-the-90s-taught-us-about-erp-a-legacy-of-failure

Within the new AI race, many companies are following the same erratic path of the 1990s, and this could be a recipe for disaster.

Unified Data, Smarter Agents—Is Your Architecture Future-Proof?

https://hackernoon.com/unified-data-smarter-agentsis-your-architecture-future-proof

As enterprises scale their AI ambitions, many discover that the real bottleneck isn’t the model, its the data. Fragmented, inconsistent and inaccessible data undermines even the most sophisticated AI systems.

Why AI Transformation Isn’t Digital Transformation 2.0 (And Why That Matters)

https://www.forbes.com/councils/forbestechcouncil/2025/09/17/why-ai-transformation-isnt-digital-transformation-20-and-why-that-matters/

Leaders, mesmerized by the power of generative AI and intelligent agents, are trying to fit these technologies into their old playbooks

What is infrastructure?

https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-infrastructure

Infrastructure is no longer just bridges, roads, and the like—it now includes elements ranging from digital networks to clean-energy systems to electric-vehicle charging corridors.

Fueling Advanced Analytics with Connected Data: 3 Use Cases from Top Data Leaders

https://www.veeva.com/eu/resources/fueling-advanced-analytics-with-connected-data-3-use-cases-from-top-data-leaders/

Biopharma companies are using data in new and innovative ways — especially in combination with AI — to add value to their organizations.

Experts Weigh in on Data Modernization

https://www.clouddatainsights.com/experts-weigh-in-on-data-modernization/

As enterprises race to adopt artificial intelligence products, data modernization is a clear organizational goal that carries a lot of confusion.

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