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Data-Driven Industrial Operations
Digitized industrial operations connect assets, networks, capabilities, and technologies to enable actionable decision-making, optimize processes across the value chain and maximize business outcomes at scale.
Schedule time to speak with an expert at Hitachi Vantara during IoT Solutions World Congress 2022 to learn more!
Book A Meeting- Hitachi Smart Spaces and Lumada Video Insights Solutions
- Lumada Industrial DataOps Solutions
- Hitachi Manufacturing Solutions
- Hitachi Energy Solutions
- Hitachi IoT Solutions and Services
Join us at IoT Solutions World Congress 2022
May 11th at 3.10pm for a 30-minute discussion
With energy sources and market demand continuously evolving, utilities have been forced to seek innovative and cost-effective ways to provide reliable power while meeting sustainability goals. Asset Performance Management (APM), a leading industrial IoT use case, enables utilities to maintain and extend the lifecycle of traditional utility assets, such as transformers and circuit breakers, and integrate newer assets, such as battery energy storage systems to fortify their portfolios.
By ensuring asset reliability, utilities are improving operational efficiency, reducing safety risks, and increasing grid flexibility. Join this session to learn best practices for optimizing asset lifecycles and management through a pragmatic discussion based on real use cases. Attendees can also expect to explore new trends and digital solutions that are disrupting the energy and utility industry.
May 11th at 3.10pm – 3.40pm
Barcelona - Gran Via Venue Hall 4
Hitachi Energy
Hitachi Vantara
IDC
Hitachi will also feature a second presentation on the IoTSWC EXTEND Platform. This presentation can be accessed the week following IoTSWC 2022, on May 17-19, 2022.
Digitization starts with establishing trust to operations data to improve continuity, increase uptime, minimize costs, detect anomalies faster, reduce waste and improve safety. Connect and catalog a wider array of OT and IT data sources for use by a broader audience of business analysts and applications- in central or distributed repositories. Generate missing data and train more accurate and reliable ML equipment models for improved customer experience and reduced operating costs. Leverage new data types like image and video analytics to innovate and create a competitive advantage.
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Hitachi Vantara
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