SAP had 64 patents in artificial intelligence during Q1 2024. SAP SE’s patents in Q1 2024 focus on various aspects of artificial intelligence and machine learning. The patents cover topics such as defining and deploying distributed neural networks, creating an artificial intelligence work center for ERP data, evaluating machine learning on remote datasets while preserving confidentiality, and enabling data confidentiality-preserving machine learning on remote datasets. Additionally, there is a patent for a method that involves generating message queries for social network entities and determining message context based on query results to present relevant messages on a client computer. GlobalData’s report on SAP gives a 360-degree view of the company including its patenting strategy. Buy the report here.

SAP grant share with artificial intelligence as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Distributed neural network (Patent ID: US20240104359A1)

The patent filed by SAP SE introduces techniques for defining, deploying, and utilizing distributed neural networks consisting of various computing elements, including IoT devices. The distributed neural network operates by assigning specific computing elements as neurons, managing data processing requests in case of unavailability of certain elements, and redefining the network structure to replace missing elements. Configuration information includes defining input providers, weights, output receivers, and activation functions for each neuron.

The patent further details a computing system and method for implementing distributed neural networks, where computing elements are assigned as neurons and communicate to process data requests. The system can handle unavailability of computing elements by reassigning functions to other elements and processing data requests despite missing neurons. Additionally, the patent covers scenarios where IoT devices with hardware sensors are integrated into the distributed neural network, enabling data processing requests based on sensor inputs. The patent emphasizes the flexibility and adaptability of the distributed neural network structure, ensuring seamless operation even in the face of computing element unavailability.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.