Mehdi Maasoumy
ABSTRACT
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.
Recommendations
The Future of Enterprise System-Enabled Organizations
Companies are beginning to expect to gain strategic value from the implementation and operation of enterprise systems (ES). Currently dominating trends in business are sense-and-respond business models, globalization, corporate realignment, virtual ...
Enterprise transformation: an analytics-based approach to strategic planning
The importance of strategic planning is universally recognized in the business world as an effective approach to enable achievement of enterprise business objectives over long time periods. However, despite the criticality of the task, the strategic ...
SLA-enabled enterprise IT
ServiceWave'11: Proceedings of the 4th European conference on Towards a service-based internetThe SLA@SOI project has researched and engineered technologies to embed SLA-aware infrastructures into the service economy. It has published models, defined architectures, developed an open-source framework and driven open standards such as the Open ...
Comments