Venue
Webinar

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Event Date Tue Nov 7 UTC (about 1 year ago)
In your timezone (EST): Mon Nov 6 7:00pm - Mon Nov 6 7:00pm
Location Webinar
Region All
Details

As society becomes increasingly digitalized, the volume of digital data held by – and accessible to – governments is on the rise.

Governments worldwide are increasingly keen to capitalize on this trend, using technology-led solutions to prevent fraud and catch those who have committed fraud.

The UK government, for example, has developed a tool known as Spotlight – which is powered by data from the Companies House, Charity Commission and external providers – to highlight areas of risk to inform grant-making decisions. It also enlisted the help of a fintech company to help detect fraud in Covid-19 loan schemes and help tackle financial crime more broadly.

Also in the UK a Public Sector Fraud Authority launched in August 2022 with a remit to ‘modernize the fraud and error response by widening access, and use of, leading practices, tools and technology’, as well as build a new National Counter Fraud Data Analytics Service to provide advanced data capabilities, such as social network analysis.

But lack of budget, capacity or awareness of potential solutions are among the reasons why many governments are yet to grasp the nettle.

This Global Government Fintech/Global Government Forum webinar will ask questions including:
• How well structured are government authorities to capitalizing on the possibilities of data and technology to tackle fraud?
• What are the biggest untapped possibilities – and obstacles – for governments when it comes to using data and technology to fight fraud?
• To what extent is cultural change within and between authorities and departments required to fully realize the possibilities?
• How important is international collaboration – both in terms of sharing ‘live’ intelligence and insights on technologies, trends and best practice – to tackling public sector fraud?

Speakers

2023 Speakers

PANELLISTS:

Siobhan Benita, former UK senior civil servant