manufacturing and operation
How AI Is Making Inroads in Auto Manufacturing
Large automotive OEMs can boost their operating profits by up to 16% by deploying artificial intelligence at scale in their manufacturing. Despite this potential, the industry is making slow progress in taking AI from experimentation to enterprise deployments. One of the primary reasons for this is many OEMs don't know what use cases to focus on. But new Capgemini research reveals prime opportunities in the areas of manufacturing and operations. We analyzed 45 AI use cases across different functions – from R&D to customer/driver experiences – to assess which provided the greatest benefits.
- Automobiles & Trucks > Sales & Service (0.40)
- Automobiles & Trucks > Manufacturer (0.40)
IoT, AI and Blockchain: Catalysts for Digital Transformation
The digital revolution has brought with it a new way of thinking about manufacturing and operations. Emerging challenges associated with logistics and energy costs are influencing global production and associated distribution decisions. Significant advances in technology, including big data and analytics, AI, Internet of Things, robotics and additive manufacturing, are shifting the capabilities and value proposition of global manufacturing. In response, manufacturing and operations require a digital renovation: the value chain must be redesigned and retooled and the workforce retrained. Total delivered cost must be analyzed to determine the best places to locate sources of supply, manufacturing and assembly operations around the world.
- Materials > Chemicals > Specialty Chemicals (0.40)
- Information Technology (0.36)
- Law > Statutes (0.31)
- Information Technology > e-Commerce > Financial Technology (0.44)
- Information Technology > Data Science > Data Mining (0.38)
- Information Technology > Artificial Intelligence > Robots (0.36)
IoT, AI and Blockchain: Catalysts for Digital Transformation
The digital revolution has brought with it a new way of thinking about manufacturing and operations. Emerging challenges associated with logistics and energy costs are influencing global production and associated distribution decisions. Significant advances in technology, including big data analytics, AI, Internet of Things, robotics and additive manufacturing, are shifting the capabilities and value proposition of global manufacturing. In response, manufacturing and operations require a digital renovation: the value chain must be redesigned and retooled and the workforce retrained. Total delivered cost must be analyzed to determine the best places to locate sources of supply, manufacturing and assembly operations around the world.
- Materials > Chemicals > Specialty Chemicals (0.41)
- Information Technology (0.37)
- Law > Statutes (0.30)
- Information Technology > Artificial Intelligence (1.00)
- Information Technology > e-Commerce > Financial Technology (0.57)
- Information Technology > Data Science > Data Mining > Big Data (0.56)
- Information Technology > Communications > Social Media (0.44)