Current Situation
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 context-driven product/formula insights from previous R&D for higher product quality, increased innovation, improved product success rate, and higher customer satisfaction.
Technology Deployed
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
Past formula approaches and product performance are evaluated by AI to drive R&D actions and outcomes and to evaluate/predict product performance and guide courses of action.