StreamCentral accelerates the design, development and implementation of real time Digital solutions (IoT, Business Intelligence and Big Data solutions). It also provides the complete environment to operationalise the Predictive outcomes of Machine Learning (ML), Data Stream Mining (DSM) and Artificial Intelligence (AI) solutions.

Not much has changed with respect to the challenges that organizations face in building and delivering Business Intelligence solutions. New advancements in Big Data technologies like in-memory analytics, powerful visualizations and horizontally scalable data management platforms do not address the age old challenges of solution modeling, solution deployment, knowledge of design patterns, complex development cycles, real-time data acquisition, solution execution, maintainability and solution adaptability.

Even with these advancements in technology, building successful Business Intelligence and Big Data solutions is difficult, risky, time consuming and specialist skill intensive.



StreamCentral bridges the gap in building powerful Business Intelligence and real-time Big Data solutions by quickly enabling you to move from a blank sheet of paper to a production system, one that is comprehensive and powerful that can be delivered without a large investment in specialist skills.

StreamCentral brings together the ability to model real-time business solutions by introducing an innovative solution designer that simplifies the design process, rapid model deployment that automatically builds and deploys the model on industry leading data management platforms and model execution by providing an enterprise ready server technology that collects, processes, correlates and publishes data in real-time. Together, these three components drastically reduce time to market, risk and cost associated with building Business Intelligence and Big Data solutions.

StreamCentral is available as both an enterprise / private cloud solution and a public cloud solution. There is also a version that runs on Microsoft’s Azure platform.

The power of StreamCentral to operationalise and automate Predictive Analytics is a major game changer. StreamCentral has its own Machine Learning component which is configured and trained through a user driven interface. However this may be substituted by other ML, AI or DSM solutions if required.

We are partnering with Reading University to push the boundaries of what can be achieved with Data Stream Mining to further advance Predictive Analytics. This builds on the pan European Horizon 2020 collaboration projects that use tStreamCentral platform as the basis to run Machine Learning models that are intended to predict issues that compromise Rail transportation across Europe as well as the operation and safety of the European 10-T network.

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