How various industries use real-time analytics to improve the business bottom line. We explore both physical, IoT uses (such as sensor data in manufacturing, transportation, and energy) as well as use of transactional and Web data, such as in the financial services, marketing, and customer-experience management industries.
Digital twin and other technologies are essential for the design and engineering of an electric drive. Combined, they allow different types of engineers to …
By adopting an integrated approach that addresses every stage of the production process, manufacturers can comply with regulations and lead the charge toward a …
Many technologies, including digital twins, virtualization, and more, can help auto manufacturers transition to EVs and meet changing EV production …
The Stanford study looked at AI's emerging role in four areas: radiology reports, patient questions, progress notes and doctor–patient
Automation is a critical enabler of efficiency, innovation, and competitive advantage in a business world increasingly defined by digital transformation. …
AI-powered tools will impact every aspect of a retailer’s business. In the long term, these tools will be the catalyst that drives transformative growth in …
Ensuring OT security allows for greater confidence when converging IT and OT systems. That, in turn, allows industrial industry organizations to achieve …
With the widespread availability of democratized data, manufacturers are experiencing a surge in efficiency and productivity.
A look at the key elements that go into a strategy to improve manufacturing throughput efficiency. Bottom line: Leveraging advanced technologies such as IoT …
The combination of lower launch costs and industry efforts to enable global IoT satellite services bodes well for end-user companies that want the flexibility …