Page 17 - Federal Computer Week, March/April 2019

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Purpose-built AI toolkits enable non-AI specialists to use the technology without needing to write, or deeply understand, the underlying code.
should give their staff the freedom to experiment and possibly fail. We learn the most from our failures. If the team succeeds, employees can look for more challenging problems whose solutions could reap huge rewards.
Furthermore, as agencies explore or expand their use of AI, they must build cloud-native applications with portability in mind. AI advancements and services in
the cloud are evolving at a breakneck pace, which means your cloud provider of choice today might not be your provider of choice tomorrow — or years from now. Therefore, agency applications should be built on open substrates and backed by a hybrid cloud strategy so that they can be moved between cloud providers.
Agencies should also factor exit costs into their cloud strategies to give them the
freedom to move to other, or multiple, cloud providers in the future, including on-premises private and community clouds. The goal of all those efforts is to maximize agencies’ ability to fully harness the power of AI technology.
Dave Egts is chief technologist for the North American public sector at Red Hat.
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