Use #Mindcandy as a strategic sensing engine to help leadership teams identify the signals they are missing. It fuels the strategic conversation about what is next. DM “SIGNALS” to find out more.
The future of data and analytics is not more dashboards; it is decision intelligence
For years, digital transformation has promised better decisions through better data. The result has often been more dashboards, more KPIs, and more information competing for executive attention. Decision intelligence moves the conversation from analytics to decision infrastructure
- https://www.unite.ai/from-dashboards-to-decision-intelligence-ai/
The leadership question
Which decisions create the most value in your organisation, and have you deliberately designed the intelligence system around them?
The future fitness move
Stop measuring digital maturity by how much data you have or how many dashboards you built. Map your critical decisions instead.
The other scenario prompts:
Agentic AI systems are reshaping organizations. Are you ready?
Unified agentic artificial intelligence (AI) systems can reshape how enterprises operate and compete.
Could AI really take over the internet? Here’s what experts say.
A Digital COE is the mechanism that can unlock significant cash flow, creating the “pay-for” that funds future development. Even if your organization isn’t quite ready to embrace a holistic self-funding digital model, understanding and leveraging a Digital COE is a strategic imperative for any leadership team playing in the modern digital space.
https://kpmg.com/us/en/articles/2026/monetization-engine-digital-coe.html
The five data architecture mistakes that end your enterprise AI initiative
Data pipelines, governance, design for demo, data lineage, and monolithic architecture.
New Microsoft data innovations unlock what only your business knows
Every organization has knowledge that is uniquely its own: the way its business operates, the data it has built over time, the expertise of its people and the context behind thousands of everyday decisions.
Data Governance And Permissions: Before You Deploy An AI Agent, Decide Who Outranks It
Gartner predicted in June 2025 that over 40% of agentic AI projects would be cancelled by the end of 2027, and they named three causes: escalating costs, unclear business value and inadequate risk controls
OpenAI Cancels Upcoming AI Model When It Shows Signs of Being Evil
The news once again highlighted rising concerns over the AI industry losing the ability to keep their own technology in check.
https://futurism.com/artificial-intelligence/openai-cancels-new-ai-model-signs-evil
Your attack surface is bigger than you think… and hackers know that
Leaked credentials, stolen session cookies, third-party vulnerabilities, shadow infrastructure and executive exposure.
The Problem is not the AI Code, but Nobody Knows Anything Anymore
If we think writing code is dead, and AI is generating all codebases, I still think the bigger problem is people or full teams not knowing anything anymore about the system architecture or the intent behind why certain choices have been made.
https://www.ssp.sh/brain/the-problem-is-not-the-ai-code-but-nobody-knows-anything-anymore/
