The Fast Model Deployment team builds practical solutions that help organizations move machine learning from experimentation to production with greater speed, reliability, and control. Headed by Rahul Shankar, the team includes Kshitij Sambhare, Krishika Ramaswamy, Rahul Kelkar, Aneri Mehta, Gaurang Sahu, and Ramprasad MB. Together, they use AI agents, intelligent automation, and reusable accelerators to streamline model enablement, code optimization, compliance, deployment, and monitoring while supporting enterprise standards and governance.
Moving AI from pilot to production requires more than a working model. Discover the five capabilities enterprises need to build reliable, scalable and valuable AI systems.
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