Organisational and data silos are now the enemy of progress. Leaders need to break down barriers between data scientists, engineers, their SMT and the C-Suite to foster collaboration and encourage innovation. AI development isn’t a solitary pursuit. Data scientists possess the technical expertise to build models, but they need engineers to translate those models into real-world applications. Breaking down communication barriers between these groups will foster a collaborative environment. This cross-functional style of teamwork will ensure that AI solutions are not only technically sound, but also strategically aligned and meet the needs of your organisation.
A talk by Zena Wood Director of DDRC, University of Exeter
A talk by David Lawton Chief Innovation Officer, Informed Solutions
A talk by Jonny Williams Chief Digital Adviser for UK Public Sector, Red Hat
February 2026
Informed Solutions has worked with the National Police Coordination Centre (NPoCC) to enhance its national Mercury mutual aid platform: the data-led solution that enables the fast, coordinated deployment of officers and resources across the UK during planned and unplanned events and emergencies. Through a series of exciting […]
January 2026
D.Coded, is a new podcast about Driving innovation: Design, Technology, Digital and Human Experiences. I recently launched it with my cohost Melisa Leñero, Director of the Paul Polak Innovation Fund. I first met Melisa a decade ago during a joint RCA/Imperial course I was leading […]
January 2026
“We’ve got the biggest room for the fewest amount of people that I think can constitute a meeting,” laughs Dave Lovegrove, Principal Consultant at Triad, glancing at Bruce Fanshawe beside him. They’re in Birmingham, dialled in to a Digital Leaders webinar, ready to share their […]
December 2025
AI’s environmental impact spans the entire value chain, from mining rare earth materials to energy-intensive training of large language models (LLMs), through to the huge volumes of water consumed by data centres. According to the International Energy Agency (IEA), electricity demand from data centres could double […]
December 2025
Artificial intelligence (AI) applications are becoming increasingly embedded in our day-to-day lives, creating new opportunities and disrupting established industries. Predictive AI in the form of machine learning (ML) has already been delivering increasing benefits for a couple of decades at least, particularly in areas like medicine and fraud […]
November 2025
Every December, I like to take a moment to reflect on the pace of change in our digital world—and every year it seems to move faster. This year, with the rise of transformative AI across every sector, the opportunities have never been greater. That’s why, […]
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