Dell Products Inc.

Emc IP Holding Company LLC

Ranjani Muthyam Venkata

Hung The Dinh

Sabu K Syed

Puneet Kumar Arora

Kannappan Ramu

Rajesh Krishnan

Manikandan Pammal Rathinavelu

Seshadri Srinivasan

Vijaya Panguluru Sekhar

Kiran Kumar Pidugu

Sourav Datta

Geetha Venkatesan

Muhammed Mohiuddin

Lakshman Kumar Tiwari

Sandeep Govindraj

Methods, apparatus, and processor-readable storage media for data integration demand management using artificial intelligence are provided herein. An example computer-implemented method includes obtaining at least one data integration demand, wherein the at least one data integration demand comprises textual information provided by at least one user; determining multiple parameters of the at least one data integration demand by applying one or more machine learning natural language processing techniques to at least a portion of the textual information provided by the at least one user; generating at least one delivery date prediction for the at least one data integration demand by applying one or more artificial intelligence techniques to the multiple determined parameters of the at least one data integration demand; and performing one or more automated actions based at least in part on the at least one generated delivery date prediction.

Data integration demand management using artificial intelligence

Methods, apparatus, and processor-readable storage media for transaction visibility framework implemented using artificial intelligence are provided herein. An example computer-implemented method includes monitoring data related to a transaction flow across multiple layers of an enterprise system; determining which of the multiple layers correspond to at least one detected problem within the transaction flow by applying artificial intelligence techniques to the data; generating a visualization of the transaction flow, wherein generating the visualization comprises generating a sequential view of the transaction flow, generating one or more parallel sub-transaction flows pertaining to one or more dependencies of the transaction flow, and producing a visual indication of the detected problem; determining, based on analyzing the generated visualization, one or more automated actions related to the detected problem and the determined layer of the enterprise system corresponding to the detected problem; and automatically initiating the one or more automated actions.

Transaction visibility frameworks implemented using artificial intelligence

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Leander, TX, United States of America

Ranjani Muthyam Venkata