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.
Cutting The Cord On Rogue AI: Inside The Guillotine Hypervisor

As AI becomes more powerful and less predictable, training alone may not keep it safe. Guillotine proposes a layered containment system, treating AI safety as a full systems problem, not just a training one. So how far should we go to keep advanced AI under control?
How AI Will Transform Financial Services

AI is changing financial services by making work faster, safer, and more personal, from spotting fraud to improving customer experiences. With challenges like data privacy and regulation still to tackle, how can businesses use AI responsibly and stay competitive?
Are you ready for AI?

AI is transforming businesses rapidly. It’s crucial to balance innovation with risk management and adopt AI responsibly.
Harnessing AI starts with data capabilities

AI’s success relies on robust data management. Frameworks like DCAM & CDMC ensure effective AI in finance, healthcare, and beyond.
Making Sense of AI

Guide | AI is revolutionising the professional world, from automating fraud detection in banking to developing new treatments in pharmaceuticals and explaining credit denials via GANs. While it reshapes business operations and roles, this transformation brings inherent risks alongside its benefits.
The Data Leadership Series Part 5 – Making Sense of AI
Webinar | Learn approaches to AI, understanding the core concepts and foundation for success. Available to watch on-demand.