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
August 2026
Agentic AI is rapidly emerging as the next major shift in software engineering. For product teams, the challenge is no longer simply whether to adopt these capabilities, but how to integrate them in a way that is effective, secure and genuinely valuable to customers. I […]
July 2026
Recently, IEG Group was proud to sponsor a challenge at the European Study Group with Industry at the University of Exeter. The event brought together mathematicians, data scientists and researchers from across the UK and Europe to work alongside industry partners on real-world challenges. It […]
April 2026
The AI pilots look promising, the strategies read well, and yet adoption stalls. The problem is not what most people think it is — and the good news is that we have solved something very like it before. Across the Digital Leaders network I hear […]
April 2026
The AI choices our police industry makes in the next 24 months will determine whether the next decade will be one of empowerment or passive observation. The Home Office’s Police Reforms White Paper, From Local to National: A New Model for Policing, represents the most significant […]
April 2026
Case management is where policy is applied to real situations. Case management deals with real incidents, real questions, real applications, real risk, and real decisions. Yet most systems ignore a critical consideration: Every case is grounded in place. From environmental regulation and conservation to public safety, planning, and social services; cases are inseparable from […]
February 2026
While AI coding assistants dramatically lower the barrier to building software, the true shift lies in the move toward “disposable code”, where the traditional value of a permanent codebase is replaced by a landscape of rapid prototyping, security risks, and the evaporation of intellectual property […]
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