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Having solved the data integration problem, we discuss how convergence of 4 technology vectors, namely Big Data, Artificial Intelligence, Cloud Computing, and Internet of Things (IoT) has, for the first time, enabled us to solve a class of problems previously deemed as unsolvable at massive scales. AI applications such as predictive maintenance, fraud detection, sensor network health, supply chain optimization, energy management, anti-money laundering, and customer engagement are among the set of problems that are now solvable at enterprise scale. This is possible, thanks to the platform that brings together all infrastructure, micro services, data sources and research and data scientist on the same platform, and in doing so improves the productivity of the development team by a factor of 10-100x. We will discuss the "Predictive Maintenance" problem applied to distribution networks, aircraft systems and oil and gas assets, "Inventory Optimization" problem solved in the manufacturing industry, and "Fraud Detection" in the electricity space as well as banking space.
Mehdi Maasoumy (Thu,) studied this question.