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I probably developed my first object-centric event log back in 2016 and used it for an industrial customer. They enable quicker data processing and decision-making, support advanced analytics and AI with standardized data formats, and are adaptable to changing business needs. I did not call it object-centric but dynamic data model.
Further Reading TensorFlow Documentation TensorFlow Tutorials PyTorch PyTorch, developed by Facebook's AI Research Lab (FAIR) , was released in 2016. Notable Use Cases in the Industry Keras is widely used in industry and academia for various applications, including image and text classification, object detection, and time-series prediction.
enhances data management through automated insights generation, self-tuning performance optimization and predictiveanalytics. Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments. Provisioning, scaling, and redundancy control are managed automatically.
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