Building the digital twin IoT and unconventional data
Who is this presentation for?Data engineers, data architects, developers
The digital twin presents a compelling case where a virtual model of physical assets is used to predict behaviors and prescribe actions. In practice, implementing these twins presents a problem of handling data and models at scale. Models created by data scientists, engineering experts, and business analysts must be combined with data that includes traditional IT data—like service records—with unconventional IoT and image data. Capturing assumptions of starting with the digital twins of business artifacts like assets, people, and events presents a flexible way of managing models and all associated data.
Teresa Tung and William Gatehouse share an approach to managing this twin. They detail the lessons they learned through the experience of creating twins, walking you through how an oil and gas company was able to leverage unconventional data and create and use the digital twin.
What you'll learn
- Discover data architectures for handling IT data with unconventional IoT data
- Learn how to combine AI and engineering models
- Understand the domain knowledge graph
Teresa Tung is a managing director at Accenture, where she’s responsible for taking the best-of-breed next-generation software architecture solutions from industry, startups, and academia and evaluating their impact on Accenture’s clients through building experimental prototypes and delivering pioneering pilot engagements. Teresa leads R&D on platform architecture for the internet of things and works on real-time streaming analytics, semantic modeling, data virtualization, and infrastructure automation for Accenture’s Applied Intelligence Platform. Teresa is Accenture’s most prolific inventor with 170+ patent and applications. She holds a PhD in electrical engineering and computer science from the University of California, Berkeley.
William “Will” Gatehouse is the chief solutions architect for Accenture’s industry X.0 platforms, including solutions for oil and gas, chemicals, and smart grid. Will has over 20 years’ experience with implementing industrial platforms and has a reputation for applying emerging technology at enterprise scale as he’s proven for streaming analytics, semantic models, and edge analytics. When not at work, Will is an avid sailor.
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