The Impact of Poor Data Structures and Legacy Systems on AI in Public Services

According to Rodolphe Malaguti, Product Strategy and Transformation at Conga, the potential of Artificial Intelligence (AI) in transforming public services is being hindered by poor data structures and legacy systems.

The Cost of Inefficiency

Taxpayer-funded services in the UK, from the NHS to local councils, are losing out on potential productivity savings of £45 billion per year due to an overwhelming reliance on outdated technology—a figure equivalent to the total cost of running every primary school in the country for a year.

The Need for Digital Transformation

A report published this week highlights how nearly half of public services are still not accessible online. This forces British citizens to engage in time-consuming and frustrating processes such as applying for support in person, enduring long wait times on hold, or travelling across towns to council offices. Public sector workers are similarly hindered by inefficiencies, such as sifting through mountains of physical letters, which slows down response times and leaves citizens to bear the brunt of government red tape.

The Importance of Digital Transformation

The current state of public services in the UK is a pressing issue that requires immediate attention. The use of outdated technology and poor data structures is not only hindering the potential of AI in transforming public services but also causing significant financial losses. It is essential that public sector organizations invest in digital transformation to improve efficiency, reduce costs, and enhance the overall citizen experience.

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Tags

• AI
• Artificial Intelligence
• Data
• Europe
• Government
• Public Services
• Society
• UK