S uccessful artificial intelligence deployments depend on a robust data management infrastructure that supports machine learning, data science and the ability to manage the data lifecycle. AI involves a fairly complex mix of high-end mathematics, code deployments, security, and data infrastructure, so in order to successfully deploy AI, organizations have to be willing to invest in the technology, people, and processes to support it. “Those that win will not necessarily be the ones with the best or most sophisticated algorithms, but those who can deploy their algorithms and the data those algorithms need, at scale and at speed, ” said Timur Nersesov, professional services manager, at Cloudera Government Solutions. Organizations must first understand what it means to be

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