I help organisations become future-fit. #Mindcandy scenario prompts are part of that. They are designed to stretch your imagination, sharpen situational awareness, and spark opportunity thinking. Find out more here.
Digital transformation #mindcandy 15 October 2025
The topics are:
- You are the upgrade, a summary of 25 books about AI, the conclusion is that the only way forward is augmented natural intelligence
- The value of data
- The bionic hacker
- Transforming the digital core
- Data management
- No-Code automation
- Wearable IoT
- The zero-loss enterprise
- AI transformation
- Scaling agentic AI
- The last mile problem of AI
- Change management
You are the upgrade
Data, acceleration, and the future of intelligence: Lessons from 25 core books (and links to 114 other books) about AI, technology abstraction, and consciousness.
Has the value of data increased?
https://www.techzine.eu/blogs/data-management/135269/has-the-value-of-data-increased/
Data is often likened to oil, gold, money and other entities and commodities of value, largely because we make things from it, we build with it and we even trade with it. But in a world of big (and sometimes massive) data analytics with the tipping point from exabytes to zettabytes and yottabytes on the horizon, has the core value of data itself actually changed?
The Rise of the ‘Bionic Hacker’
https://www.thedailyupside.com/cio/cybersecurity/the-bionic-hacker-is-on-the-rise-hackerone-says/
Imagine all the hacking power of AI, but backed by human intelligence. That’s the threat of the bionic hacker.
Transforming the Digital Core in the Age of Generative AI
https://global.fujitsu/se-se/insight/tl-genai-modernization-20251010
The rise of Generative AI marks a new era of corporate transformation (DX 2.0), demanding a shift from mere efficiency to strategic value creation. However, many enterprises are constrained by technical debt and legacy IT systems, limiting their ability to innovate
Evolving data management: 3 ways to scale AI for the future
https://www.ey.com/en_us/insights/consulting/agentic-ai/three-ways-to-scale-ai-for-future
Build AI-ready data by shifting to knowledge repositories, interconnected metadata and a workforce designed for human-agent orchestration.
No-Code Automation Becomes Enterprise Standard in 2026
No-Code Automation is a paradigm shift in the way enterprises think about automation, efficiency, scalability, and innovation
Wearable IoT Devices: Innovations Defining Future Outlook
https://timestech.in/wearable-iot-devices-innovations-defining-future-outlook/
The wearable Internet of Things (IoT) devices market represents one of the most dynamic and transformative segments within the technology industry today.
The zero-loss enterprise: Data resilience as an AI service layer
https://siliconangle.com/2025/10/12/zero-loss-enterprise-data-resilience-ai-service-layer/
We believe the impact on cyber resiliency and data protection under services-as-software reflects a fundamental shift in how enterprise software works.
AI Transformation Is Not About Tech
https://knowledge.insead.edu/strategy/ai-transformation-not-about-tech
AI’s general-purpose nature means it touches every part of the organisation, but there’s no single roadmap to follow because the right application depends on context, creativity and role-specific reinvention. This makes AI transformation nothing less than a wide-scale challenge to rethink value creation on the individual and collective level.
Scaling Agentic AI: The Emerging Role of the Model Context Protocol
https://www.rtinsights.com/scaling-agentic-ai-the-emerging-role-of-the-model-context-protocol/
As AI agents in industrial operations become more capable, MCP could well become the fabric that ties everything together.
The Last Mile Problem of AI
https://msukhareva.substack.com/p/the-last-mile-problem
Crossing the last mile in technology is extremely hard.
CX Leaders: Are Your Change Management Efforts Driving Real Outcomes — Or Just More Documentation?
Successful change management is the ability to continuously sense and respond to shifting requirements, whether those are customer needs or internal priorities
