David Egts, chief technologist for the North American public sector at Red Hat (NYSE: RHT), has said there are several tools that could help government agencies facilitate the adoption of artificial intelligence.
Those include AI toolkits such as TensorFlow open-source software, predictive analytics tools like Red Hat Insights and AI-based digital assistants such as Apples Siri, Amazons Alexa and Google Home, Egts wrote.
Purpose-built AI toolkits enable non-AI specialists to use the technology without needing to write, or deeply understand, the underlying code, he noted.
He called on agency leaders to implement low- and no-cost AI courses and tutorials that make the technology easy to understand as well as provide employees the leeway to experiment and identify a business-driven problem that could be potentially addressed by AI.
Egts said agencies should consider exit costs as part of their cloud strategies as well as portability as they develop cloud-native applications.
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, he added.