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
April 2025
Technology is embedded in every part of our lives—transforming how we connect, work, learn, and access services. This shift is critical to supporting the government’s ‘Take Back Our Streets‘ mission, with part of the aim being to crack down on antisocial behaviour with more neighbourhood police. […]
March 2025
Artificial intelligence (AI) is a driving force in technological innovation, transforming industries and reshaping how we interact with technology. Open and public AI, which emphasizes sharing models, datasets and methodologies, is at the heart of this evolution. Aligning with open source principles and fostering collaboration democratizes […]
March 2025
Runnymede Borough Council has taken a major step forward in establishing its ‘Digital Layer’ by integrating the Jadu Digital Platform with Microsoft Teams. Led by Stephen Bowen, Head of Digital Innovation & Delivery, the council has leveraged this integration to bridge the gap between customer […]
March 2025
In Summary Interoperability in the blue-light sector involves collaboration across agencies and sectors to improve public safety through better data sharing. Challenges include data restrictions and the complexity of cross-agency collaboration, particularly around sensitive information. The goal is to gradually improve interoperability for more effective, […]
February 2025
In our Accelerating Digital Delivery series, we explore the key factors that drive transformative digital solutions. A user-centric design approach—prioritising the needs, preferences, and behaviors of end users—is critical for creating services that truly deliver value. This approach was central to our work with the […]
February 2025
Data has the potential to reshape public services, driving efficiency, innovation, and economic growth. According to McKinsey & Company, smarter use of data could increase operational efficiency in government by up to 20%, freeing up valuable resources to address pressing social challenges and improve frontline […]
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