公开(公告)号：US11087143B2

公开(公告)日：2021-08-10

申请号：US16219111

申请日：2018-12-13

Applicant: SAP SE

Inventor： Xing Zhao ,  Hong Liu ,  Qing Zhang ,  Xuemin Wang ,  Rajnish Prasad

IPC: G06K9/00 ,  H04L9/06 ,  G06F16/51 ,  G06F16/587 ,  G06Q20/20

Abstract: Disclosed herein are system, method, and computer program product embodiments for tracking shop information using blockchain. In an embodiment, a shop application system may gather information related to a shop using various sensors within the shop. For example, the shop application system may identify a flow rate of traffic within the shop or outside of the shop. The shop application system may securely transmit this information to a blockchain cloud platform to be stored onto a blockchain. The blockchain may also maintain store information from a client application system related to shop ownership or tenancy. In this manner, the blockchain may provide a public means for accessing transactions related to a shop as well as provide confidence in the information provided.

公开(公告)号：US20230153638A1

公开(公告)日：2023-05-18

申请号：US17455241

申请日：2021-11-17

Applicant: SAP SE

Inventor： Zhen Zhang ,  Hao Wang ,  Xing Zhao

IPC: G06N5/02 ,  G06F16/22 ,  G06N5/00

CPC classification number: G06N5/022 ,  G06F16/221 ,  G06N5/003

Abstract: Methods, systems, and computer-readable storage media for training of machine learning (ML) models and inference using the ML models based on distributed data mining in cloud systems, and more particularly for a distributed, tree-based data mining system that uses column-distributed tree-based data mining in a cloud system to support training of and inference using ML models.

公开(公告)号：US10885446B2

公开(公告)日：2021-01-05

申请号：US15657698

申请日：2017-07-24

Applicant: SAP SE

Inventor： Xuemin Wang ,  Baoguo Zhang ,  Xing Zhao ,  Lin Cai ,  Rajnish Prasad

IPC: G06F3/048 ,  G06N5/04 ,  G07C5/08 ,  G06F16/9537 ,  G06F3/01 ,  G07C5/00 ,  G06F3/0481

Abstract: Disclosed herein are system, method, and computer program product embodiments for vehicular telematics with virtual-reality monitoring capabilities. An example system may establish a data connection to a plurality of sensors corresponding to at least one component of a vehicle, retrieve status information corresponding to the at least one component of the vehicle, from the plurality of sensors, send the status information retrieved from the plurality of sensors to a data set, receive at least one result of predictive analytics performed with the data set, and generate output via an interface. Other embodiments may additionally place requests for new parts or service based on the at least one result of the predictive analytics. The data set may be a structured database or an unstructured cluster. Big data analytics may use simulations for predictions. Output may leverage virtual reality or augmented reality to improve ease of use and intuitiveness for any role of users.