Unlocking the Potential of Intelligent Production in Auto Manufacturing
At the core of intelligent production environments is the ability to monitor and adjust manufacturing processes in real time.
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.
At the core of intelligent production environments is the ability to monitor and adjust manufacturing processes in real time.
MIT Sloan Management Review explores Walmart's real-time, 3D shopping experience noting its benefits in multiple
EV automakers need great design, development, and manufacturing flexibility afforded by digital technologies to meet ever-changing and stringent customer …
From prototyping and design to workforce training and sustainable production, augmented reality is making an impact on the way vehicles are developed and …
A discussion about electric vehicle design and production challenges and how automakers can leverage Digital Twins, simulations, and more to
Digital twins, advanced robotics, AI-driven quality control, and sustainable practices will be used in 2025 to address the challenges EV manufacturers face.
The integration of generative AI into the accounting profession requires more than just adopting new tools. It demands a fundamental shift in
AI agents enable companies to make smarter, faster, and more informed decisions. From predictive maintenance to real-time process optimization, these agents …
AI-based data collection and analysis will likely be the foundation on which future value-based care programs are
Discover how Industry 5.0 is transforming manufacturing by blending human creativity with technology for smarter, more sustainable