All Eyes on Gen AI, But Industrial AI will Get a Huge Piece of the Action
Industrial AI is enhancing automation, predictive maintenance, and quality control, leading to improved efficiency and cost
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.
Industrial AI is enhancing automation, predictive maintenance, and quality control, leading to improved efficiency and cost
Industry 5.0 represents more than just a technological shift; it’s a philosophical change in how the industry views manufacturing. It demands that automakers …
In 2025, in-cabin sensing is the underlying foundation needed for legal compliance, semi-autonomous driving, safety ratings, and the premium user experience …
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By embracing a generative design methodology, automotive companies can navigate the complexity of EV development, improve design performance, and speed …
CDOS is not just a technological shift but a new way of thinking about vehicle engineering. As EVs become more complex, software-driven, and reliant on …
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Factory managers need reliable data to drive real-time analytics and AI-driven insights of their manufacturing
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AI bookkeeping gives companies access to real-time insights that save them from financial fiascos. Additionally, it empowers companies to proactively track …