Consumer Internet leaders like Amazon and Netflix build a digital twin—a digital model representing deep profile characteristics—of every target consumer. And every time a consumer reads a product review, views a complementary product offer, or watches a movie, that buyer’s digital twin gains additional resolution. Thus, the digital twin of each target buyer is continuously improved over its lifetime. This symbiotic relationship helps companies be more relevant (and sell more), and helps the consumer find exactly what they’re looking for faster.
However, in the industrial world, many reflexively think of the “digital twin” as only a 3D visual representation of a physical object, used as a key step in product design and manufacturing. While this type of digital twin is surely valuable, GE has leveraged a different type of digital twin technology for decades, somewhat like the customer models described above. These models help GE and our industrial customers predict and prevent unplanned downtime and, more recently, to optimize production processes. Every day, digital twin models help customers increase plant reliability, throughput, and quality in a way never possible before.
Learn about GE’s approach to digital twins, outcomes delivered, and how your organization can benefit. This session will cover a range of maturity models for the concept of digital twin, customer use cases, GE’s catalogue of industrial digital twins, and approaches for how to get started with this type of technology.