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". Reimagining business for the digital age is the number-one priority for many of today's top executives. We offer practical advice and examples of how to do it right. "So from that perspective, the sorts of problems the government struggles with are very well-suited to use these advanced technologies," he said.