There is currently a race among nations and governments to become the global leader in artificial-intelligence (AI) technology, which can and will have meaningful consequences to national security—economic, financial and political. To win, the US must continually iterate and innovate beyond the minimally viable solution to develop more advanced technology.
AI makes it possible for simple but massively time-consuming tasks to be automated, allowing those resources to be reallocated where they are needed the most—higher-priority tasks and projects. For the US Navy, AI will move the needle on many fronts such as conditioned-based maintenance, autonomous drones and logistics management.
Sustaining forward presence demands the ability to gain a complete operational view of data, being able to integrate that data across the enterprise and sharing securely at mission-critical speeds. When it comes to US forces accelerating innovation within the realm of AI and Machine Learning, time is of the essence.
Data and data analytics is no less than a “warfare enabler,” Adm. Bill Moran recently wrote in Defense One. The Admiral underscored the need for the Navy to “curate and rationalize the countless disparate databases and outdated technology, which leaves us unable to ‘see’ and make use of basic information.”
Before the Navy can advance its AI initiatives, they first must focus on integrating data from silos. AI is only as smart as the data you feed it. You’re risking a fragmented view of the operational command or degrading your competitive advantage.
Earlier this week, I sat down with AI Today Podcast to discuss how the US Navy is pursuing its mission to sustain a forward presence using AI and Machine Learning, as well as some of the challenges involved with such innovations.
On the podcast, we discussed:
- The one thing holding government agencies from advancing their AI initiatives
- The areas within the US government where AI is being utilized
- What the future of AI holds for both the government and private sector
It was a great conversation that allowed me to pull from my 31-year career in the intelligence community as a Cryptologic Technician and then a Cryptologic Officer in the US Navy and Naval Reserves before joining the CIA.