SDC 2023 - An AI Inference Engine for Object Storage Systems

Object storage systems provide significant value for storing and managing data. The nature of data stored in object systems opens up opportunities to get more value out of these systems than the common expectations of cost reduction, ease of use, resilience, and durability. Maintaining the metadata for large unstructured data sets is difficult and can be time consuming. The system I propose here is an add on engine that adds Artificial Intelligence inferencing functionality to object storage systems. The engine is notified upon file creation and then invokes common detectors, identifiers, and techniques such as object detection and classification to identify and enhance information about the stored objects that can be indexed and searched. I provide a demonstration of the engine capabilities and an integration example.
Learning Objectives
Extending object storag
Adding AI inference to storage systems
Adding value to existing systems
Presented by
Dan Pollack, Data Storage Science LLC
Jessica Bresnahan, Data Storage Science LLC
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