Advanced analytics and other emerging technologies are revolutionizing the way governments and public service agencies are trying to address citizen demands, helping to overcome persistent challenges such as regulatory compliance, outdated legacy IT infrastructures and organizational cultures, according to a new research report from Accenture (NYSE:ACN). 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, pension/social security and administration. 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 survey found that while more than two-thirds (70 percent) of public sector agencies are evaluating the potential of emerging technologies, only a small percentage (25 percent) is moving beyond the pilot phase to full implementation. This indicates that awareness is not translating into realized value for the majority of agencies surveyed. While most agencies are using traditional business technologies, emerging technologies -- like advanced analytics that include predictive modeling -- are making the biggest inroads. "Emerging technologies are proving to have tremendous potential value for enabling public service agencies to not only meet their key internal resource challenges, but also provide innovative approaches to address the evolving needs of their citizens," said Terry Hemken, who leads Accenture's Health & Public Service Analytics Insights for Government business. "Agencies need to rotate to the new, embracing the full value of using data to take advantage of the power of social, mobile and self-serve technologies that the world is demanding." Nearly half (48 percent) of the agencies already implementing advanced analytics technologies that include predictive modeling said their chief objective in implementing these tools is to improve and support their employees' work, and four-fifths (80 percent) of respondents said that implementing emerging technologies will improve employees' job satisfaction.