Public Sector Data Summit 2023

Presentations will include:

Data Convergence – Shared Services for Government – An approach to Insight-driven decision-making from accurate data, for the whole of the Civil Service. Applying data definitions and standards, set and monitored by the Shared Services Design Authority. Achieving common data sets across all functional domains, such as HR, finance, property and procurement. Improving data-sharing within departments through integration, and between departments with interoperability.

Data for London – This presentation will detail the development of the new data platform for London in 2023 and how the city proposes to join up city data to benefit Londoners.

The role of data and analytics in supporting the NHS – This presentation will examine the strategic direction of the NHS in using data and analytics, how the joining up of NHS England and NHS Digital will support the strategy and make digital, data and analytics become a collaborative way of working.

NHS England will be creating the environments and infrastructure to support local innovation and collaboration. Ming will explore the following:
• how the Secure Data Environment will provide the environment for analytical collaboration and facilitate working with Research and Life Sciences.
• the role of the Federated Data Platform to support connecting up the NHS and operational collaboration and improvement initiatives

Accessing data & analytics solutions to drive efficiencies & improvements across the Public Sector – Crown Commercial Service has recently launched a new ‘first of its kind’ commercial agreement specifically for procuring data & analytics software and services. Join Dr Philip Orumwense CBE who will share his insights to the data direction set by Government, and explain how CCS’s new agreement will help Public Sector buyers deliver on that.

Accelerate decision-making and improve citizen experience with data governance – Access to and sharing of data are increasingly critical for fostering a data-driven public sector.

Data governance is key in solving challenges like poor data quality, delays in decision-making, and lack of alignment in strategic direction impacting all public sector organisations. However, traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose interest and support. This leaves data management and governance leaders having to continually make the case for data governance to secure adoption.

Topics that you will hear addressed:
• Why many data governance initiatives fail to thrive
• Elements of an objective-first approach that increase the sustainability of your data initiatives
• How to build consensus to increase adoption and collaboration

Data: Unlocking value with velocity – Unlocking value, reducing risk and finding efficiencies are fundamental elements of all data challenges. This session will demonstrate how you can rapidly deliver value from your data and enable your organisation to move through discovery, alpha and beta to production at velocity.

NHS Covid-19 app: A National Biological Digital Twin – Are different types of digital twin necessary for different circumstances? Learnings from the team that designed and built the NHS COVID-19 app: a practical application of a digital twin to create behavioural feedback loops between citizen and policy in an environment with high uncertainty and complex behaviours.

One Data Model to Rule Them All – The emerging key challenge across Big Data is no longer the volume of data — but rather the velocity of data and how to rapidly extract insight, at scale. Across every bit of data ever created there is only one structure it must obey — space and time. So, unless the laws of physics are rewritten, space and time is the one rule that cannot be changed. For the first time in data processing, we can use this to our advantage, unlocking the benefits of big and hyper-scale data, artificial intelligence and machine learning through the creation of the Data Flow Index.

The public sector manages enormous amounts of data, where extracting insight effectively is key to improving public services and efficiencies on a national level. Previously, this was difficult to harness fully owing to a lack of innovation in the data processing software sector. Today, we have the first data infrastructure platform that enables machines and humans to capture, index, store and analyse the human world in its full fidelity. To do this, we had to create an entirely new form of data processing, unrelated to anything that has gone before – the Data Flow Index (DFI). Find out more in this session.

Unlock Data Connections to Drive Customer Experience – CDOs must become customer-centric to achieve business objectives. A mindset which should be embedded in every stage of the data journey, including governance. Join Quantexa and NHS they share how a robust governance framework acts as a springboard to improve data quality, visibility and drives customer experience insights.
During this session, you will learn how to:
• Employ entity resolution and data volume to smooth out data quality issues
• Increase data visibility to better connect data points and enhance customer experience
• Integrate AI into a data governance framework to expand digital business opportunities

Responsible AI for Modern Data Driven Organisations –Organisations across the public sector are currently on their journey to be data driven. They are adopting modern cloud and AI technologies to improve citizen experiences, protect public money, and maximise value for their stakeholders. As more organisations adopt the new technology, it’s increasingly important for them to adopt responsible AI principles and frameworks with a multi-disciplinary focus covering economics, moral philosophy, law, social science and technology. In this session, we’ll share how AWS thinks about AI holistically and how we enable responsible use of AI by design, not an afterthought.

The Value of In Context and Just in Time Labour Market Information – This talk will focus on the importance of providing labour market information to job seekers and employers at the exact point and time that they need it. The presentation will focus on examples from state public employment systems in the United States. We will share some research on the use of near real-time vacancy data to predict the economic future of large companies.

Measuring Data FAIRness: Lessons From the NHS, ONS and IPCC – We all have a right to understand the data that the public sector collects and manages on our behalf. Our data must be safely managed, but we also expect organizations to maximize the value of the incredibly rich data assets under their custody. FAIRness (Findable, Accessible, Interoperable and Reusable) is all about maximizing value but motivating teams to make data FAIRer isn’t always an easy task. MetadataWorks have been working with the Health Data Research UK, IPCC and the ONS and would like to share lessons learned to streamline data governance,  gamify metadata management, and maximize the value of data.

How shared data services can benefit the Public Sector – Indra Joshi will discuss how shared data services can benefit the public sector and share examples of :

• Palantir’s work with the NHS on creating secure data environment with the covid-19 data store
• How deploying technological innovation has been critical for NHS Trusts in treating cancer patients sooner and tackling backlog
• How Palantir worked with Local and Central Government to support the resettling and safeguarding of over 100,000 refugees fleeing the war in Ukraine.