International Business Machines Corporation

Christopher J Vollmar

Joseph W Dain

Frank N Lee

Sarvesh S Patel

Abhishek Jain

Nilesh Prabhakar Bhosale

Daniel De Souza Casali

Adriana Pellegrini Furnielis

Computer-implemented methods for management of data collection devices. Aspects include creating a cluster of data collection devices and a distributed meta-key manager for the cluster and providing an authentication key for each data collection device to access the distributed meta-key manager. Aspects also include collecting and storing data by one or more of the data collection devices and periodically perform a quorum check for each data collection device of the cluster. Aspects further include updating an operational mode of each data collection device based on the quorum check and offloading the stored data from a data collection device based on successful verification of the stored data and the operational mode of the data collection device.

Zero trust management for data collection devices

Provided are techniques for data search with automated selection of one or more AI inference models and inference label indexing. Metadata for a data object that is stored in a data source is retrieved. The metadata is matched to filtering criteria. The filtering criteria is used to identify an Artificial Intelligence (AI) inference model. The data object is sent to an inference engine for the AI inference model. An inference result is received from the inference engine. The inference result is stored in a database to associate the inference result with the data object. Then, in response to receiving a search request with one or more terms, the one or more terms are matched to the inference result in the database. and the data object and the inference result are returned.

Data search with automated selection of artificial intelligence inference models and inference label indexing

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Mississauga, Canada

Christopher J Vollmar