Machine Learning Operations (MLOps): Deploy at Scale

Artificial Intelligence and Machine Learning adoption in the enterprise is exploding from Silicon Valley to Wall Street with diverse use cases ranging from the analysis of customer behaviour and purchase cycles to diagnosing medical conditions. Following on from our webinar ‘Getting started with AI’, this webinar will dive into what success looks like when deploying machine learning models, including training, at scale. The key topics are: Automatic Workflow Orchestration ML Pipeline development Kubernetes / Kubeflow Integration On-device Machine Learning, Edge Inference and Model Federation On-prem to cloud, on-demand extensibility Scale-out model serving and inference This webinar will detail recent advancements in these areas alongside providing actionable insights for viewers to apply to their AI/ML efforts!