Bringing AI to Data, to drive trust and fairness at scale.
Bringing AI to Data, to drive trust and fairness at scale.
This is especially relevant in public sector projects, where we’re working with the UK Government to safely unlock data and deploy responsible AI.
Responsible AI means creating transparency and trust, ensuring AI doesn’t just produce efficient outcomes, but ethical and sustainable ones.
How are data analytics and AI transforming environmental management and sustainability at Defra?
Sue will focus on how Defra is integrating AI and data analytics to streamline processes, improve environmental forecasting, and enhance decision-making. By leveraging predictive analytics and data-driven insights, Defra is actively addressing challenges like avian flu, improving crop monitoring, and enhancing operational efficiency in managing resources.
Are we ready for next generation Public Sector services? 
With rising demand, the cost-of-living crisis, and increasingly complex social challenges, it’s clear we need to adopt new approaches to build trust in the government’s ability to use modern technology effectively. What will this mean for the next generation of Public Services? What does it look like? Are we ready? What is data and AI’s role in enabling it?
Craig will discuss how data and AI are transforming public sector operations, driving smarter decision-making and efficiency.
He will explore the challenges of legacy systems, the importance of data governance, and the ethical use of AI, while highlighting the UK’s national Data and AI Strategy for scalable solutions.
The North Sea Transition Authority (NSTA) works to accelerate the energy transition to net zero.
As the UK seeks to create value from the new technologies of carbon capture and storage, offshore wind and hydrogen better cohesive access to data and digital solutions is needed.
Nic will talk about how the NSTA is unlocking value from data so industry, government and academia can make data-driven decisions.
AI in 2025 at UK public sector
In this session Jon Cook from AWS will share reflections and observations from AWS’s experience in supporting public sector customers to adopt generative AI over the past 2 years. Jon will share new trends, which will dominate in 2025 as the industry continues to accelerate adoption and scale.
Ancoris will explore strategies for secure digital transformation that improve service delivery while meeting the demands of compliance, data sovereignty, and cybersecurity.
They will showcase practical approaches to using AI and machine learning for smarter public sector innovation and long-term resilience.
Transforming our relationship with data in achieving decision advantage 
We find ourselves in a challenging macro context of geo-political tensions; disruption from technology advances and connectivity challenges; and at a time of high fiscal and economic pressures. These set the imperative to compete against new threats and to do so within our means. In addressing the imperative, and enabling the use of advanced technologies, such as AI, Caroline will discuss transforming our relationship with data – as a capability, culturally, and how we partner with industry and allies.
Rubrik explores innovative AI and data solutions tailored for public sector resilience and security. Focusing on integrating real-time analytics, proactive data governance, and cloud-native tools, Rubrik’s approach empowers leaders to safeguard sensitive data while unlocking actionable insights. This strategic framework enhances
Avanade will explore the challenges of unifying disparate data sources across legacy systems and demonstrate how their Microsoft ecosystem-based technologies support secure, scalable data platforms.
A joined up future - how is ONS is building a framework to enable easier and safer sharing and linkage of data at scale
This presentation will explore how the Office for National Statistics is collaborating across government to design shared architectures that promote trust and transparency in data sharing. We’ll look closely at technologies enabling secure data exchanges for analytics, with a particular focus on our vision for indexing data.
By indexing sensitive datasets without including personally identifiable information (PII), we aim to support inter-departmental data sharing that retains analytical value while safeguarding public trust. Ultimately, this approach empowers better decision-making across government while upholding stringent data privacy standards.
