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Public Sector Agencies Must Adopt Emerging Technologies Like Machine Learning and Artificial Intelligence to Effectively Compete for Talent, Accenture Report Finds ARLINGTON, Va.; Feb. 2, 2017 – Public sector agencies must adopt emerging technologies – including machine learning, artificial intelligence and biometrics – to attract and retain more technically adept employees. This approach is critical to addressing a widening skills gap and strong competition from a better financed private sector, a new report from Accenture (NYSE: ACN) shows. The report, Emerging Technologies in Public Service, examines the adoption of emerging technologies across agencies with the most direct interaction with citizens or the greatest responsibility for citizen-facing services: health and social services, policing/justice, revenue, border services, administration and pensions / social security. As part of the report, Accenture surveyed nearly 800 public service technology professionals across nine countries to identify emerging technologies being implemented or piloted. These technologies include advanced analytics/ predictive modeling, the Internet of Things, intelligent process automation, video analytics, biometrics/ identity analytics, machine learning, and natural language processing/ generation.

The ongoing evolution in advanced analytics and other emerging technologies is transforming the operational processes in government and public service agencies throughout the world. With the help of these technologies, such organisations are trying to address citizen demands, helping to overcome persistent challenges such as regulatory compliance, outdated legacy IT infrastructures and organisational cultures, according to a new study report from Accenture. In its latest report titled, Emerging Technologies in Public Service, Accenture surveyed nearly 800 public service technology professionals across nine countries to identify emerging technologies being implemented or piloted. The technologies include advanced analytics/predictive modelling, the IoT, intelligent process automation, video analytics, biometrics/identity analytics, machine learning, and natural language processing/generation. The survey found that while more than two-thirds, (70%) of public sector agencies are evaluating the potential of emerging technologies, only a small percentage (25%) is moving beyond the pilot phase to full implementation.