Digital Transformation, AI Important In Keeping Battlefield Edge by David Vergun, DOD News
June 14, 2022
Defense Department officials discussed the
importance of digital transformation and artificial intelligence in
enabling warfighters to maintain a battlefield advantage, even as
China and Russia develop their own AI for military purposes.
John B. Sherman, DOD's chief information officer, held a
fireside chat June 8, 2022 with Craig Martell, DOD's chief digital
and artificial intelligence officer, at the DOD Digital and AI
Symposium.
Sherman congratulated Martell on his
appointment to this new leadership position. He brings a valuable
industry perspective to the team, Sherman said, noting that Martell
has only been on the job for three days and is hitting the ground
running.
The chief of digital and artificial intelligence,
which uses the acronym CDAO, reached Full Operating Capability June
1 and is charged with leading and overseeing DOD's strategy
development and policy formulation for data, analytics and AI;
breaking down barriers to data and AI adoption within appropriate
DOD institutional processes; and creating enabling digital
infrastructure and services that support Components' development and
deployment of data, analytics, AI and digital-enabled solutions.
Sherman noted that the CDAO has his hands full of real-world
operational requirements, including such diverse things as the war
in Ukraine, business analytics, counter unmanned aerial systems and
data governance.
U.S. Army Staff Sgt. Elise Denning, with the Artificial Intelligence Integration Center, conducts maintenance on an unmanned aerial
vehicle in preparation for Project Convergence at Yuma Proving Ground, Arizona on October 20, 2021. During the testing, Soldiers are experimenting with ways to use UAS to do autonomous target sensing and artificial intelligence, helping soldiers see on the battlefield. (U.S. Army photo by Spc. Kayla Anstey)
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Martell said he will focus not only on the
fight today but also future fights five or 10 years later.
"We need to find the gaps, the right places where we can leverage
value, and then that value is going to drive a virtuous cycle of
change," Martell said. "A lot of folks think that DOD should be more
like industry. Some of that is true. But [there are] a lot of things
about the DOD that can't be more like industry. … We need to find
out how to keep the DOD but also make it more efficient and work
better."
Sherman mentioned that his and Martell's work
involves a lot of coordination and communications with the military
services, the Defense Information Systems Agency and combatant
commanders regarding everything they do, such as the Artificial
Intelligence and Data Accelerator and digital services. They are the
ultimate customers.
The team, Sherman continued, constantly
thinks about what sort of AI and machine learning capabilities would
help them get ahead of specific problem sets, which will vary from
combatant command to combatant command.
For instance, U.S.
Southern Command might be focused on transnational criminal
organizations, while U.S. European Command might be focusing on
threats from Russia and U.S. Indo-Pacific Command on threats from
China, he said.
Sherman also mentioned cybersecurity as it
relates to securing data and algorithms.
"We talk a lot
about zero trust," he said. "That assumes an adversary is already on
our network. How do we micro-segment our network so as to prevent
that adversary from moving laterally? And, we're going to leverage
AI to help us get even better as we employ zero trust."
Sherman also said that AI will be important in satellite
communications as well as command and control.
Martell said
leveraging the relationship with industry is important. "It doesn't
make any sense for us to build things that we shouldn't be building
here if industry already has a solution."
Also, Martell
mentioned that startups and innovative small industries should be
sought out by DOD for their creative solutions.
Sherman
said he agreed and added that DOD needs to work with small and
medium industries to help them bolster their cybersecurity needs.
Researchers in the Naval Postgraduate School’s Department of Applied Mathematics are supporting an ambitious research effort to apply new approaches in high-fidelity computer modeling, including machine learning, that will take advantage of future computing capabilities and realize the potential for significant improvements in the accuracy of hurricane prediction. (U.S. Navy graphic)
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Both men said that acquiring and
retaining talent in the workforce must be a priority and that the
hiring practice needs to be tweaked so that people in industry can
do a stint in DOD, go back to industry with more tools in their
toolkit and maybe eventually return to DOD in a revolving door sort
of scenario.
Also, they both mentioned upskilling in DOD, which means getting
meaningful work in the department so that when these professionals
return to industry, they will have new and marketable skills that
are desirable and cutting edge.
Martell noted that he took
a pay cut coming into his current position. While the government
usually cannot pay as much as the private sector, he said the
intangible benefit that attracts him and others, is DOD's mission
and service to country.
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