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Alex Measure, senior economist at the Labor Department’s Bureau of Labor Statistics (BLS)–who has developed and deployed an artificial intelligence application to help the agency analyze workforce health data–said on Tuesday that convincing agency leaders to pursue AI applications can be the toughest part of the development and deployment journey. […]

Machine learning AI modernization

Federal agency officials said on Tuesday that internal work to develop artificial intelligence (AI) technologies is picking up, but also cautioned that the still-experimental nature of those efforts makes it difficult to predict when products and services will emerge from them.






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As the Federal government looks to emerging technologies such as artificial intelligence (AI) to help improve citizen services and lower government costs, applications that enable this new computer-based intelligence via application programming interfaces (APIs) might be the least disruptive and inexpensive way for agencies to get started.






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An official with data storage technologies provider Pure Storage told MeriTalk that issues holding back Federal government adoption of artificial intelligence (AI) technologies include the high cost of super-computing resources and the continued reliance of government agencies on legacy IT systems that were not created with AI applications in mind.






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Pure Storage

Artificial intelligence is sexy–no doubt about it. From self-driving cars to personal assistant technology that can anticipate your every need, the future of AI looks promising. However, the actual technology can be confusing. And rarely does the reality of AI match up to expectations created by Hollywood portrayals.






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