Sap Se

Sap Ag

Boris Greven

Michael Jung

Frank Westendorf

Frank Albrecht

Static and dynamic process data of a system are accessed. Thereafter, using this accessed process data, a subset of such data forming relevant data for a particular context is derived. The data is then explored using a computer-implemented process or processes to automatically get insight into information about structures, distributions and correlations of the relevant data. Rules can be generated based on the exploring of relevant data that describe data dependencies within the relevant data. These generated rules can later be used to generate synthetic data. Such synthetic data, in turn, can be used to for a variety of purposes including the training of a machine learning model while, at the same time, complying with applicable privacy and data protection laws and regulations.

Data insight automation

Implementations of the present disclosure include receiving, by the centralized sub-system, user data representing a user that is authorized to access one or more electronic documents stored in the centralized sub-system, generating a hash identifier that is unique to the user, the hash identifier being generated based on at least a portion of the user data, and recording, by the decentralized sub-system, the hash identifier in a blockchain that is maintained within the decentralized sub-system, the blockchain being stored in multiple nodes of the decentralized sub-system.

Hybrid centralized and decentralized enterprise system

Implementations of the present disclosure include receiving, by the centralized sub-system, change data representing a change to an electronic document stored in the centralized sub-system, the change data identifying a user that submitted the change, transmitting, by the centralized sub-system, the change to the decentralized sub-system, recording, by the decentralized sub-system, the change in a change log recorded in a blockchain that is maintained within the decentralized sub-system, the blockchain being stored in multiple nodes of the decentralized sub-system, and editing, by the centralized sub-system, the electronic document based on the change to provide an edited electronic document that is stored in the centralized sub-system.

Techniques and solutions are described for facilitating collaborations between entities. A hub computing system is provided that is accessible to multiple client systems. The hub computing system can be used to create instances of collaboration entities, which can be of various defined types. Object instances can be created and included in, or referenced by, the collaboration entity instances. Clients may take various actions with respect to a collaboration entity instance using one or more hub services. At least a portion of the actions taken with respect to a collaboration entity instance can be recorded in a blockchain. The blockchain records can be used to verify actions taken with respect to a collaboration entity instance, and to verify the integrity of collaboration entity instances.

Collaboration hub with blockchain verification

Systems and methods are disclosed for dynamic parallel processing of a plurality of subprocesses of a process initiated by a parallel processing framework. The plurality of subprocesses may include processing of one or more data objects in a computer system including a plurality of servers for processing the plurality of data objects by the plurality of subprocesses. The method may include building work packages from the plurality of data objects according to a process-specific scheme, and dynamically distributing the work packages of the plurality of data objects among the plurality of servers according to a process-specific execution order.

Growing community of inventors

Weinheim, Germany

Boris Greven