Building AI Labs: Balancing Innovation and Reliability in STT Model MLOps

Building AI Labs: Balancing Innovation and Reliability in STT Model MLOps

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Building AI Labs: Balancing Innovation and Reliability in STT Model MLOps Barnik Bhattacharyya · Follow 4 min read · Just now — In the world of enterprise AI, the tightrope walk between innovation and reliability is a constant challenge. Customers demand cutting-edge features, but they also expect unwavering system stability. This is especially true when dealing with critical components like Speech-to-Text (STT) models in Contact Center AI platforms. How do you push the boundaries of accuracy without risking disruption? The Challenge: STT Model Innovation At Fundamento , we faced this very challenge. We wanted to enhance the accuracy of our STT model, a core component of our voice agent platform. But how could we select and test new models without impacting our enterprise customers’ experience? We needed a solution […]

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