Bridging the Industrial Worker Knowledge Gap with AI and Digital Twins

Presented by

Steven Garbrecht, Fabio Terasaka - Hitachi Vantara; Matthieu Kulezak - IoT Analytics; Dan Isaacs - Digital Twin Consortium

About this talk

The lack of new operator capability to run operations efficiently results in increased waste, lower productivity, and safety concerns. It is hard to hire skilled operators and supervisors which results in less production/maintenance capacity, slowing business down and reducing revenue. You want the ability to hire employees and have them functioning at the level of seasoned operators in weeks vs months using predictive and prescriptive analytics. In this online seminar we will cover tools and techniques that will equip your team to get there more quickly and scale more broadly across your enterprise. This includes: • Modern data connectivity and ingestion with minimal disruption to operations and systems • Data prep including process tag name rationalization, time stamp alignment, etc. • Leveraging Digital Twins for data modeling • Training accurate and dependable ML applications for equipment • APIs and embeddable dashboards for a unified HMI environment Value Provided: • A competitive advantage through the activation of company-specific data assets and processes • Address large scale use cases in cost optimization and throughput; upstream and downstream plant optimization, examples: refining and chemicals, manufacturing production, water gathering and water distribution, customer demand and production
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