Mutually Complementary: Continuous Intelligence, IIoT, and Digital Twins
The wide-scale adoption of Industrial IoT (IIoT) and Industry 4.0 methodologies is spurring interest in digital twins for smarter manufacturing.
The wide-scale adoption of Industrial IoT (IIoT) and Industry 4.0 methodologies is spurring interest in digital twins for smarter manufacturing.
Real-time digital twins offer a powerful new approach to streaming analytics that should dramatically increase the quality of both real-time introspection and of overall situational awareness.
The installed base of urban digital twin deployments is expected to grow from just a handful of early implementations now to more than 500 by 2025.
Digital twin technology can speed time to market, reduce costs, and allow a company to create a much broader portfolio of products.
The new Azure offering gives a virtual representation of a physical environment expanding access to AI, Cloud and IoT technologies to every company.
On the skills front, utilities must look to foster a digital culture that encourages continuous learning, agile development, and innovation.
Manufacturers are eager to capitalize on the transformative promise that comes from digitizing operations. However, the motivations for moving to digital vary from company to company. Most advanced manufacturers aim to lower production costs, improve on-time delivery, estimate delays, and lower their quality risks.
Managing today’s complex modern supply chains requires a digital nervous system based on robust data management, AI, and automation.
Most manufactures (84%) are currently implementing or evaluating digital manufacturing strategies, whereas only 27% were doing so in 2018.
AstraZeneca's vision for a digital factory of the future will be enabled by AI, image recognition, IoT, electronic records, robotics and automation, and digital twins.