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MLOps at the Edge: Efficient-AI and the techniques used for optimizing Ml operations for data-intensive deployments

Why attend? ML teams are redirecting their focus from #models to #data, driven by the realization that data quality significantly influences the performance of ML models.

In this session, we will explore the cutting-edge techniques employed by our panellists Ed Shee, Pierre-Nicolas TIFFREAU, Andrea Carboni, and how to streamline ML workflows for enhanced efficiency and performance, from deployment to monitoring.