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Government problems are well-suited to be solved using artificial intelligence and machine learning, SAS director of Global Government Practice Steve Bennett has said, but the resulting project should be well thought through and championed from within before being pushed out to citizens.
Speaking with ZDNet following his visit to Australia where he met with government entities to discuss the role of data and analytics within the public sector, Bennett said there is a challenge in finding where it is best to use emerging technologies, noting that machine learning is good for finding difficult-to-detect patterns, connecting crimes, and determining tax or benefits fraud in a “very complex background of data”.
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