MLOps at the Edge: Zero Latency AI at Scale

Instant decision-making and processing is critical in industries such as autonomous vehicles, industrial automation, smart grids where the slightest delay can have significant consequences. This panel covers the requirements for real-time AI and deployment tools and platforms that are optimized for edge AI.

By the end of 2023 there will be 43 billion connected devices globally across IoT Ecosystem and by 2025 75% of enterprise data will be created at the edge. From intelligent forecasting in energy and predictive maintenance in manufacturing to AI-powered instruments in healthcare, the possibilities of Edge AI seem endless. With its speed, efficiency, and security benefits, Edge AI is set to revolutionize the way businesses operate and make decisions.

Learn from Seth Clark, Co-founder and Head of Product at Modzy, and David Purón, CEO and co-founder of Barbara about the challenges of scaling and managing ML models in a distributed architecture.