{"id":11656,"date":"2018-06-25T14:32:17","date_gmt":"2018-06-25T14:32:17","guid":{"rendered":"https:\/\/one.sightlinemg.com\/federaltimes\/uncategorized\/2018\/06\/25\/how-the-navy-can-lean-in-to-software-superiority\/"},"modified":"2026-08-08T17:43:44","modified_gmt":"2026-08-08T17:43:44","slug":"how-the-navy-can-lean-in-to-software-superiority","status":"publish","type":"post","link":"https:\/\/one.sightlinemg.com\/federaltimes\/it-networks\/cloud\/2018\/06\/25\/how-the-navy-can-lean-in-to-software-superiority\/","title":{"rendered":"How the Navy can lean in to software superiority"},"content":{"rendered":"\n

The Navy needs to take a “hard look\u201d at its digital needs<\/a> according to a senior Navy software official, especially in technology such as machine learning and artificial intelligence, or risk vital weapons systems failing on the future battlefield.<\/p>\n\n\n\n

Attendees of the Amazon Web Services Public Sector Summit in Washington June 21 heard warnings that obsolete and slow approaches are driving up costs of time and resources for the Navy’s newest technologies<\/a> that interact with one another in combat.<\/p>\n\n\n\n

“It’s really a matter of making System A talk to System B,\u201d said Richard Jack, a lead engineer and project director at the Space and Naval Warfare Systems Center Pacific. \u201cA logistics system that needs to be able to interact with a weapons system.\u201d <\/p>\n\n\n\n

Software superiority is an important part<\/a> of the Navy\u2019s plan for a global competitive edge, from unmanned underwater vehicles<\/a> to drones operated from ships<\/a>. Unless the Navy wants to get an error message at a crucial combat moment, they will have to search outside their own technology labs for the solution to the interoperability challenge, Jack said.<\/p>\n\n\n\n

\u201cThe Navy can\u2019t do this alone, as 99 percent of the brain trust is in the cloud service providers and the industry,\u201d Jack stated. He expressed the need to \u201ctake advantage\u201d of lessons learned by cloud industry leaders on big data collection and interpreting results to make predictions .<\/p>\n\n\n\n

Jack suggested accelerating operations with increased cloud computing<\/a>, creating shared infrastructure to make sure data centers are connected, eliminating duplicative investments across some programs, and further expanding AI and machine learning advancements.
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