Stories from Utilities that went from “imagine a world†oratory to developing real business use cases that benefit their customers today
The potential of a global infrastructure of connected devices has been dawning for years. But suddenly it seems fast. Just a few years ago, solution experts needed at least a 20-story building to deliver an elevator pitch explaining the industrial Internet of Things and the wonders to come. Now we talk to Business Leaders and can do it in three letters – “IoT.†We said it, you got it, let’s talk use cases and how IoT can make your business more successful. We’re approaching that moment in IoT for T&D companies. Everybody’s getting it – IoT builds on top of prior chapters of the digital revolution and extends them into the physical world.
Without much explanation or confusion, customers now understand the business case for:
- Digitalizing T&D grids, substations
- Remote monitoring – using connected sensors in machines, factories, power plants or entire power grids, network operations centers, airports, spacecraft, etc., to create automated reports on the condition of crucial assets
- Predictive maintenance – monitoring in-service equipment to determine the most cost-effective and business-wise times for upkeep
What they are now asking how do we get the benefits? What have others learned? Join ABB to find out the real world user cases that Industry pioneers from around the world have developed to get their Digital Asset Health projects off the ground. We will look at what the perfect Asset Health Centre project might look like, the lessons learned and the simple steps you can take to avoid things that might trip up you and your teams.
Presented by
Steven Hagner,
Industry Solution Executive
For the last 20 years Mr. Hagner has focused on helping large organizations in Europe and the Middle East understand how they can benefit from advances in Information Technology. He advises utilities regarding optimizing asset lifecycle management, leveraging advances in the Internet of Things, Big Data, Smart Grids and Predictive Analytics.