The Rule of Three for Data & AI Investments
The Rule of Three offers a sharper filter for AI investment: quantify value, define time to impact and prove how it will be used. CFOs are funding more AI than ever, yet most initiatives still fail to deliver measurable returns because business cases, timelines and adoption plans lack rigour.
Automated Data Management: What Every CXO Needs to Know
On-Demand Webinar | This webinar cuts through the AI hype to show how leading enterprises are automating data management at scale — safely, pragmatically, and with real ROI.
Data Management That Thinks
Whitepaper | Why traditional data management and governance can’t scale. What replaces it? Automated Data Management.
DCAM® v3: Your Path to Data Excellence
Guide | Download our DCAM® v3 guide and fix the data headaches holding your business back.
AI for Data Management: Five Key Insights from DataVision EMEA 2025
Video | Watch experts from UBS, Schroders, Compare The Market and Quaylogic explore how AI is transforming data management. Moderated by Ben Clinch, Chief Data Officer & Partner at Ortecha.
From Data Architecture to Knowledge Architecture: The Foundation for Enterprise AI
Whitepaper | Traditional data architectures manage information. Knowledge Architecture transforms it into intelligence – unlocking explainable AI, unified insights and strategic advantage. The future belongs to organisations that understand their data, not just store it. Download our latest whitepaper to find out more.
Make it Human: The Future of Data Culture in the Era of Generative AI
In this blog we dive into why the future of generative AI depends on culture, not just technology, and how data leaders can drive meaningful change by building trust, confidence, and curiosity across their organisations.
Data Culture Club catch-up: AI Literacy
We all know that AI is the hot topic at the moment, but how can Data Culture teams best use the buzz? In our June Data Culture Club roundtable we discussed how to help colleagues incorporate AI into their everyday work, but also how to use it to focus attention back onto the underlying data.
Thinking Less, Typing More? What MIT’s ChatGPT Study Means for the Way We Work
MIT’s latest ChatGPT study reveals a shift in how we work: less time typing, more time thinking. As AI handles routine tasks, the real value moves to judgement, creativity and critical oversight. The future of work isn’t replacement – it’s augmentation.
The AI Transformation Race: How Asset Managers and Retail Banks Are Sprinting Toward an AI-Native Future
The AI race is on. From slick robo-advisors to chatbots with charm, asset managers and retail banks are sprinting toward an AI-native future. Who’s pulling ahead, who’s stumbling, and what does it take to win? Spoiler: it’s not just about the tech.
