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.
Beverley Ferrara, The water council, Alastair Jinks, Northern ireland Water, Denis Murphy, Anaeko
Neil Andeson, Sopra Steria
Isabella Burt Morris, Design Director, TPXImpact
February 2026
I was recently working with a team that provides specialist skills to their wider organisation. Their motivation was simple – to share their expertise to best support their colleagues, whilst helping to move their organisation toward its strategic goals. As the number of change initiatives […]
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
As digital transformation accelerates and becomes a core theme of central government delivery, government teams are striving to modernise their processes, upskill their people, and deliver smarter services for the public and businesses. One approach gaining traction is the creation of Communities of Practice (CoP) — structured […]
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 […]
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