AI could save government $41 billion, report says

#AI could save government $41 billion, report says 

 #fintech #insurtech

  • The 28-page report, titled AI-augmented Government, examines several case studies, provides a taxonomy of AI systems, and concludes that in the federal government alone, automation with “high investment” could free up as many as 1.2 billion hours of work and save up to $41.1 billion annually.
  • Through the use of rules-based systems, machine translation, computer vision, machine learning, robotics and natural language processing, the report notes the unusual but “tantalizing” paradigm presented by AI in which speed is increased, quality is improved, and cost is reduced — all in parallel.
  • William Eggers, a co-author of the report and executive director of the Deloitte Center for Government Insights, told StateScoop that automation technologies are now improving in performance at an exponential rate.
  • Report authors note that automation can be broken into four types:

    The lesson to learn from these different types of automation, Eggers said, is that adoption of automation is a two-stage process: First government should automate every task it can, and then it should search for ways to augment human tasks.

  • Government agencies looking to use automation for the first time will find an easy entrée in robotic process automation, Eggers said.

Technologies like computer vision, machine learning and natural language processing will transform government at all levels sooner than people think, researchers report.
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HfS Webinar: Smart Process Automation in Enterprise Business

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  • Adding Intelligence to Business Process Automation through Machine Learning
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  • Global businesses must cut operational cost and improve agility, and Smart Process Automation – which combines workforce orchestration, RPA and cognitive automation – delivers on this imperative.
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@Ronald_vanLoon: “HFS WEBINAR: SMART PROCESS AUTOMATION IN ENTERPRISE BUSINESS | #MachineLearning #Business #…”


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HfS Webinar: Smart Process Automation in Enterprise Business