Since the release of the final Federal Data Strategy Action Plan (henceforth FDSAP) the end of last year, much has been written about the Federal Data Strategy. However, little has been written to connect the important role it can play in enabling the adoption of AI within the federal public sector.

Machine learning (ML) and artificial intelligence (AI) could very well be the next major technological advancements that change the way federal IT pros work. These technologies can provide substantial benefits to any IT shop, particularly when it comes to security, network, and application performance.

The state of our nation’s infrastructure is grim. The most recent report card from the American Society of Civil Engineers (ASCE) gave U.S. infrastructure an overall score of “D” for “poor” or “at risk”.

Artificial intelligence (AI) is coming. Contrary to the stuff of science fiction, however, AI has the potential to have a positive impact within the federal IT community. The adoption of AI will likely be the result of the adoption of hybrid and cloud IT computing.

The history of hacking shows that bad actors use good technologies for bad purposes.  Machine learning is no different: it has never been easier for white hats and black hats to obtain and learn the tools of the machine learning trade. Software is readily available at little or no cost, and machine learning tutorials are just as easy to obtain.