Journey to the Center of Massive Data: Digital Twins

Have you ever wondered how intelligent Industry 4.0 factories or smart cities of the future will process massive amounts of sensor and machine data? What you may not expect is a digital twin will most likely play a role. A digital twin is a virtual representation of an object, system or process that spans its lifecycle, is updated from real-time data, and uses simulation, machine learning and reasoning to help decision-making. Digital twins can be used to help answer what-if AI-analytics questions, yield insights on business objectives and make recommendations on how to control or improve outcomes.

This presentations introduces digital twin usage in edge IoT applications, highlighting what is available today, what to expect in the next couple of years, and what the future holds. We will provide examples of how digital twin methods help capture virtual representation of real-world entities and processes.
Presented by Steve Adams, Intel; Praveen Velichety, IBM; Michael Hoard, SNIA Cloud Storage Technologies Initiative Chair and Intel
Learn More: