Machine Learning ...

When once you have tasted flight, you will forever walk the earth with your eyes turned skyward, for there you have been, and there you will always long to return.

Data modelling and integration

Data engineering and management

Machine learning and graph analytics

Performance modeling for ‘big data’ platforms and workloads

Dashboard design for data visualization

Scalable, high-performance analytics

Process mining and management

Scientific visualization

Advanced computing architectures

Bridging the gap between exploration, scalability, and deployment

Core Team

Machine learning and graph analytics

Machine learning is a field of computer science that uses statistical techniques to give computer systems the ability to learn with data, without being explicitly programmed.
Graph analytics, also known as network analysis, is an exciting new area for analytics workloads. To some extent, the business driver that has shone a spotlight on graph analysis is the ability to use it for social network influencer analysi

Data modelling and integration

Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.
Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial and scientific domains.

Scientific visualization

Scientific visualization is an interdisciplinary branch of science. The purpose of scientific visualization is to graphically illustrate scientific data to enable scientists to understand, illustrate, and glean insight from their data.

Process mining and management

Process mining is a family of techniques in the field of process management that support the analysis of business processes based on event logs. During process mining, specialized data mining algorithms are applied to event log data in order to identify trends, patterns and details contained in event logs recorded by an information system. Process mining aims to improve process efficiency and understanding of processes. Process mining is also known as Automated Business Process Discovery (ABPD)

Dashboard design for data visualization

Choosing the right data visualizations is at the heart of all successful business dashboards. There are tons of visualizations to choose from, but not all are the right match for your data. A well-designed dashboard is compact, clear, feels familiar, and allows for rapid scanability.

Machine learning and graph analytics
Data modelling & integration
Scientific visualization
Process mining & management
Dashboard design for data visualization
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