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The Rapid AI Lab team works with you to fully understand the challenge and come up with a list of promising hypotheses. |
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The team tests these hypotheses drawing from AI and ML technologies: Rapid Data Integration, document parsing, specialized ML models, natural language protocol, computer vision, ontology mapping, high performance computing platform. |
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They build a prototype and evaluate it against value drivers: acceleration, efficiency, risk, compliance, revenue, and patient experience. |
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They determine whether they can solve the challenge at scale. |
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4 to 12 weeks later, the team delivers their findings and recommendations. |
