IBM WATSON | Cognitive Computing Platform is a cognitive system enabling a new partnership between people and computers. IBM's Watson computing platform made a name for itself on Jeopardy, but its incremental roll-out into the real world has been no less impressive. Now firmly entrenched as an emerging technology service, Watson enables Peeristics clients to access the other 80% of unstructured data that until now has limited their ability to understand how to best deliver higher perform student outcomes.
MicroSoft AZURE | Cloud Service is an open and flexible cloud platform that enables our clients to quickly integrate with Peeristics. The Azure service leverages the power of a global network of Microsoft-managed datacenters that enable our clients to integrate into a secure, robust and highly scalable public cloud application requirement. Our team of cloud experts can assist with any IT environment and build application integration services (api's) using any language, tool, or framework.
Wipro HOLMES | Artificial Intelligence Platform is a rich set of cognitive computing services for the development of digital virtual agents, predictive systems, cognitive process automation, visual computing applications, knowledge virtualization, robotics and drones.
Wipro HOLMES is developed using machine learning, natural language processing, genetic and deep learning algorithms, semantic ontologies, pattern recognition and knowledge modeling technologies to provide solutions that deliver cognitive enhancement to experience and productivity, accelerate process through automation and at the highest stage of maturity reach autonomous abilities.
University of Toronto | The Brain Alliance (Big Data Research, Analytic's, and Information Network Alliance) is an Ontario network of Universities, public and private institutions working together to conduct state-of-the-art translation research on large scale data sets.
Peeristics in its partnership the Brain Alliance goal is to help connect the best Ontario academic researchers to collaboratively narrow the research and innovation gap as it relates to human learning development by leveraging Big Data into actionable discoveries.