Agencies often have data stored in multiple silos and data lakes, making discovery difficult. In addition, that data is rarely in standardized formats, especially with regard to formats usable by AI and ML. But by applying DevOps principles to their data strategies, they can overcome this stumbling block much quicker, facilitating implementation of AI and ML tools.
