Specification of an end-to-end Big Data as-a-self-service platform
This innovation corresponds to specification of an end-to-end platform for Big Data as-a-self-service, developed within the I-BiDaaS project.
Parallelization of Constraint Satisfaction Problems (CSP) solver
The CSP solver is the heart of the IBM’s Data Fabrication Platform technology. The generated data is the solution of a constraint satisfaction problem created by the Platform engine out of the user defined data model.
ADMM Machine Learning Algorithms
This is an open-source implementation of the Alternating Direction Method of Multipliers (ADMM)[1] optimization algorithm that relies on CVXPY[2], a Python-based toolbox for
AGORA - Unlocking data-driven business potentials for cross-sectorial industries
AGORA is the B2B data platform broker of Atos to connect Data Providers and Data Consumers, facilitating the access, acquisition and trade-off of Connected Vehicle and Smart Home data under the standardized data model (CIDM).
Digital Twin for Industry 4.0
The objective of the Digital Twin for the Industry 4.0 product is the virtual representation of real devices and processes, which is linked to its physical counterparts not only through mechanic and geometric parameters, but also by their behaviour.
DataBench Toolbox
The goal of the DataBench Toolbox is to provide a way of reusing existing big data benchmarking efforts under a common framework, providing therefore a way to select, download and homogenize technical and business indicators.
SAP Data Hub
The all-in-one data orchestration solution discovers, refines, enriches, and governs any type, variety, and volume of data across your entire distributed data landscape.