Internally, data is held in silos while there is little to no sharing of knowledge between the broader innovation ecosystem.
Goals and Objectives
The objectives are accelerated R&D cycles and lower R&D failure costs.
Hardware:Servers, IoT, smartphones, tablets, wearables, and robotics
Software: AR/VR, Big Data/analytics, blockchain, cognitive/AI, machine learning, cloud, security, social, mobile, CAD, CAM, CAE, PLM, ERP, CRM, MES, SLM, and Office tools
Services: Business services and IT services
Use Case Summary
There is participation in social communities where data relative to materials and best practices are shared for the broader good of the industry.