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.
The shift towards hybrid-electric and fully electric vehicles brings new thermal management challenges. Automakers are turning to advanced design technologies, …
To integrate changes in battery technology into their electric vehicles, automakers need great design and development flexibility, such as that afforded by the …
In an industry where development timelines are increasingly compressed, automakers face a critical choice: prioritize speed or maintain quality. The reality is …
Industrial operators are increasingly looking to AI, and specifically, AI agent technology, to help make more efficient use of available data and to automate …
A data-driven approach to Pharmacovigilance holds immense promise and will pave the way for a more informed and holistic evaluation of drug safety, ultimately …
Emerging threats, coupled with the increasing complexity of financial systems, demand a radical shift in detecting fraud. What’s needed is a holistic, …
The key to using AI technologies in public transit is onboard internet connectivity, which facilitates real-time data transfer and enables seamless …
Discover how AI-powered tools are helping financial institutions detect fraud in real time and stay ahead of emerging threats like synthetic
As IoT technology increases, the potential for IoT analytics in industrial operations will only grow, offering even more opportunities for innovation and …
IoT connectivity and analytics are moving beyond data collection to data orchestration. Learn how real-time insights, edge analytics, and integrated data …