Microsoft Technology Licensing, LLC

Walmart Apollo, LLC

Santos Kumar Das

Prasasth Reddy Palnati

Srinivas Kappla

Deepak Garg

Anand Krishnamurthy

Mridul Jain

Saigopal Thota

Gajendra Alias Nishad Kamat

Giridhar Addepalli

Navinder Pal Singh Brar

Pragya Jain

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform ingesting streaming events for processing by multiple models; mapping each of the streaming events to a model of the multiple models; storing each of the streaming events in a respective queue in a respective sequence store, such that a respective one of the multiple models retrieves (i) a respective one of the streaming events in the respective sequence store associated with the respective one of the multiple models and (ii) a respective key corresponding to the respective one of the streaming events from a leaf store, to asynchronously perform the respective machine-learning inferencing, wherein the multiple models run independently and in parallel on multi-tenant threads. Other embodiments are disclosed.

Asynchronous multi-tenant model inferencing on streaming databases

Systems and methods are disclosed for an augmented Service Capability Exposure Function (A-SCEF). The A-SCEF may receive upstream or downstream traffic and direct or process that traffic in accordance with policy profiles. The policy profiles may be associated with various entities that may have interrelationships. The policy profiles may allow a network operator to better control multiple entities on the network while simplifying use of the network for the customers, such as those associated with a large number of internet of things (IOT) devices.

Methods of and systems of service capabilities exposure function (SCEF) based internet-of-things (IOT) communications

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Bengaluru, India

Santos Kumar Das