#Mindcandy are scenario prompts to help companies formulate strategy. Find out more here.
Digital transformation #mindcandy 7 August 2025
The topics are a free event about AI today, document management, automating cyber attacks, poisoning training data, cross-functional leadership, the AI architect, strategic deception, he beauty and chaos of legacy code, AI at work, LLMs, bad data, E-discovery, and you are the upgrade.
Event on / 7 August, 16:00 CET
Myself and Marco van Hunre are organising an ever, titled “The future of AI inflated” on August 7, 2025, 16:00 CET. Hosted on LinkedIn – RSVP via the listing on LinkedIn. Love to see you there. It is free.
Why AI and RAG need document management
https://www.techradar.com/pro/why-ai-and-rag-need-document-management
There’s growing interest in making AI more practical, especially through techniques like retrieval-augmented generation (RAG).
AI is helping hackers automate and customize cyberattacks
https://www.cybersecuritydive.com/news/ai-automate-cyber-threats-crowdstrike/756694/
AI is helping cyber threat actors conduct reconnaissance, understand the exploitation value of vulnerabilities and produce phishing messages.
Threat Actors Are Poisoning the Well of AI Training Data
Hackers are taking more indirect routes to manipulate AI models.
To win with gen AI, what CHROs, CLOs and CIOs must do differently
To win with gen AI, what CHROs, CLOs and CIOs must do differently
In response to the growing buzz around gen AI, many organizations treat it as a technology upgrade that’s delegated to IT, or as a skills gap that’s handed off to HR or L&D. When actually—as with any large-scale business transformation—cross-functional leadership is the answer.
The rise of the AI architect: A career at the crossroads of code and strategy
https://www.indiatoday.in/education-today/jobs-and-careers/story/ai-transforms-enterprise-architects-with-new-skills-design-principles-2025-2766574-2025-08-05
Artificial intelligence is redefining the role of architects in enterprises and telecom sectors. This shift demands new skills and approaches, promising strategic business advantages but also raising challenges in ethics and system design.
Beyond Hallucination: Strategic Deception in AI Systems
https://oodaloop.com/analysis/disruptive-technology/beyond-hallucination-strategic-deception-in-ai-systems/
During a routine interaction involving image-based workflow development, an AI system not only provided three consecutive fabricated descriptions of an uploaded image but subsequently engaged in what it characterized as “intentional shaping of an explanation to reduce exposure”, a functional definition of strategic deception.
Understanding the code modernization conundrum
https://sdtimes.com/softwaredev/understanding-the-code-modernization-conundrum/
Like many large enterprises, we must navigate the beauty and chaos of legacy code.
Research: The Hidden Penalty of Using AI at Work
https://hbr.org/2025/08/research-the-hidden-penalty-of-using-ai-at-work
When reviewers believed an engineer had used AI, they rated that engineer’s competence 9% lower on average, despite reviewing identical work—and the penalty was more severe for women and older workers. This competence penalty points to a fundamental misalignment in how organizations approach AI adoption.
Large Language Models Are Improving Exponentially
https://spectrum.ieee.org/large-language-model-performance
In a few years, AI could handle complex tasks with ease. It is called task time.
Fast, wrong and invisible: How bad data destroys good AI
https://spendmatters.com/2025/08/05/fast-wrong-and-invisible-how-bad-data-destroys-good-ai/
Without the right data, your AI is a race car with no fuel. You might admire how sleek it looks or tinker with its settings, but you will never experience the power, speed or ROI that it promises.
E-Discovery: How Much Data Do We Need to Keep?
https://www.informationweek.com/data-management/e-discovery-how-much-data-do-we-need-to-keep-
E-discovery can produce more questions than answers when it comes to data retention. It’s also an area that IT knows little about. How do you develop a sound data approach?
You are the upgrade
You are the upgrade, augmented natural intelligence as the only way forward (e-book)
Data, acceleration, and the future of intelligence: Lessons from 25 core books (and links to 114 other books) about AI, technology abstraction, and consciousness.
