At last, a way to build artificial intelligence with business results in mind: ModelOps

  • “Is there a way for IT leaders to be proactive about AI and machine learning without ruffling and rattling an organization of people who want the miracles of AI and ML delivered tomorrow morning? The answer is yes.
  • While there a lot of ‘xOps’ now entering our lexicon, such as MLOps or AIOps, ModelOps is more “mindset than a specific set of tools or processes, focusing on effective operationalization of all types of AI and decision models.
  • Only about half of all models ever make it to production, and of those that do, about 90% take three months or longer to deploy.”

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