Extract value from your dark data using Google AI:

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Introduction to the paper

With AI taking the world by storm, innovation shows no signs of abating and governments worldwide are grappling with the future application of the technology in the public sector: the question is no longer if they adopt AI, but how.

In the UK, investment in AI continues to grow, with the government hosting a world-first AI safety summit in 2023, and London becoming the European home for AI organisations like Microsoft and Google. With this infrastructure in place, the government is looking beyond regulation and toward implementation – but technological change in the public sector carries unique challenges.

AI in the Public and Private Sectors

AI in the Public and Private Sectors

The private sector has always invested in technologies that increase efficiency and profit, streamline operations and improve the bottom line. As AI tools have grown in capability and accessibility, companies have rushed to integrate them across all job functions, leading to rapid efficiency gains and sustaining growth. AI investment continues to climb, and its enterprise applications are only improving as businesses expand their use of the technology.

The three key challenges of dark data

The three key challenges of dark data

In the public sector, when teams are faced with dark data, manual data processing might seem to be the best process to gain actionable insights, with information scattered across siloed systems in difficult-to-read formats. This fragmented approach leads to inefficiencies and inaccuracies whilst limiting the ability to gain a comprehensive view of spending, risk, and operational performance. Without the right tools, organisations can struggle to piece together the data they need for informed decision-making.

The consequences

The consequences

The difficulties posed by dark data for public sector organisations introduce a financial burden. With critical data like contracts siloed in unstructured formats, organisations don’t have the visibility necessary to respond to valuable savings opportunities. Legacy systems exacerbate these issues, hampering accessibility for staff members seeking specific data.

The role of AI in addressing these challenge

The role of AI in addressing these challenge

AI represents a Swiss army knife to long-standing challenges with dark data. Automation, extraction, organisation, access, action - AI can enable the intelligent improvement of entire workflows, greatly reducing the need for manual intervention. This streamlines operations but also allows staff to dedicate more time to more important tasks.

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