Feds Call Operational, Organizational Maturity Keys for AI Deployment

As artificial intelligence (AI) adoption continues to grow across the Federal government, officials said on July 15 it's important to share lessons learned across the government, and spoke about the importance of operational and organization efficiencies in the AI adoption process. At a virtual event organized by AI in Government, experts from the General Services Administration (GSA), National Science Foundation (NSF), and NASA talked about how their agencies got started with the AI journey. Bryan Lane, Director of Data and AI at GSA, said the agency made sure to take an honest account of its own organizational and operational maturity, and along those lines said it's also important to determine whether a strategy or roadmap and requirements to drive the AI journey are in place. "Do you have the right development programs to train and educate people on artificial intelligence?" "As we move through the layers of operational maturity for AI, we get into things like DevSecOps cloud and infrastructure data operations, machine learning operations, and you can have different levels of maturity across those operational areas. You can have a very mature cloud DevSecOps environment, but you may have data scientists that are still operating on local machines and testing one-shot models."