A Scalable Infrastructure for Advanced Analytics and AI

Development AI and Analytics solutions is a massively complex process, requiring management of vast data sets and data management capabilities. In turn, this leads to subsequent iterative development using algorithm performance testing against defined test cases, and development of real-time inference engines driven by deep Neural Networks via the process of Machine Learning and Deep Learning. Innovation in algorithms, toolchains, annotation services and access to public training data sets makes it desirable to be able to participate in the development ecosystem, whilst still carefully managing security and access to highly-valuable and company confidential information. An approach to use a scalable architecture that also offers access to multiple public cloud services at the lowest cost, with the greatest agility whilst still enabling individual companies to innovate and accelerate the process is essential to take a leading position in this market.