Dell Products Inc.

Emc IP Holding Company LLC

Vijaya Panguluru Sekhar

Hung The Dinh

Sabu K Syed

Abhijit Mishra

Jatin Kamlesh Thakkar

Rajesh Krishnan

Manikandan Pammal Rathinavelu

Geetha Venkatesan

Sathish Kumar Bikumala

Puneet Kumar Arora

Satish Ranjan Das

Kannappan Ramu

Krishna Mohan Akkinapalli

Tousif Mohammed

Seshadri Srinivasan

Kiran Kumar Pidugu

Pallavi Jaini

Muhammed Mohiuddin

Sourav Datta

Pradeepta Ranjan Choudhury

Marcio Fragoso Stumpf Lena

Lakshman Kumar Tiwari

Reshma Nair

Farook Shaik

Nilay Mishra

Ranjani Muthyam Venkata

Vishnu Prabhu Sundarrajan

Bala Kumar

Narendra Kumar

Akanksha Bansal

Sharath Kumar Mudigere Yathiraj

Amirthraj Ramakrishnan

Sethukarasi Sockalingam

Gaurav Suwal

Methods, apparatus, and processor-readable storage media for implementing extensible upgrade and modification as a service are provided herein. An example computer-implemented method includes processing one or more modifiers, wherein each modifier includes an independent processing unit having a given canonical structure and is configured to execute one or more automated actions related to at least one of application modification and application migration; obtaining data pertaining to multiple applications across multiple computing environments; determining, based at least in part on processing at least a portion of the obtained data, at least one of the one or more modifiers applicable for use in executing at least one of the one or more automated actions in connection with at least a portion of the multiple applications; and executing the at least one of the one or more automated actions using the at least one determined modifier.

Extensible upgrade and modification as a service

In some examples, a server may determine a specification associated with a software module that is to be integrated with a software system. The specification identifies how the software module interacts with the software system. The server may execute a machine learning module to perform an analysis of the specification. The machine learning module may suggest at least one modification to at least a first portion of the specification and may automatically modify at least a second portion of the specification. The server may convert the specification to one or more application programming interface (API) calls and provide a system interface that includes the one or more API calls to enable the software module to interact with the software system. The API calls may include calls to a data integration API, a file transfer API, a messaging API, a database API, or any combination thereof.

Use machine learning to verify and modify a specification of an integration interface for a software module

Methods, apparatus, and processor-readable storage media for device manufacturing cycle time reduction using machine learning techniques are provided herein. An example computer-implemented method includes obtaining video input related to one or more manufacturing resources in a manufacturing environment; determining availability status information for at least one of the one or more manufacturing resources by applying one or more machine learning models to the obtained video input; and outputting the determined availability status information to at least one user device associated with the manufacturing environment.

Device manufacturing cycle time reduction using machine learning techniques

An information handling system determines context features for an electronic mail message based on a payload of the electronic mail message. A processor adds the context features to the payload of the electronic mail message to create an updated payload. Based on the updated payload, the processor sets a quarantine indication for the electronic mail message to either a first state or a second state. In response to the quarantine indication for the electronic mail message being in the first state, the processor assigns the electronic mail message to an electronic mail storm. In response to the assigning of the electronic mail message being to the electronic mail storm, the processor quarantines the electronic mail message.

System and method for detecting and removing electronic mail storms

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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Bengaluru, India

Vijaya Panguluru Sekhar