Your Digital Assistant: Ai and Industrial Iot in the Service of Advanced Manufacturing Optimization
With the rapid expansion of connected devices and sensors in composites component manufacturing processes, the sheer volume of data being collected dramatically increases. Cloud computing technologies enable storing and processing this mass of data pointing-out imminent problems and providing highly valuable insights into areas of potential improvements. However, to analyze this massive data-sets in real-time and for the Industrial Internet of Things (IIoT) to live up to its promise, the support of Artificial Intelligent (AI) software, powered by significant computing strength, is required.Innovative technology utilizing AI can collect IIoT-based data, analyze data trends, raise alerts and recommend - or even independently take - optimal actions, all while maintaining full genealogical database, weaving a digital thread from the raw material stage to the end-product, to guarantee highest levels of traceability, quality and quality control.AI algorithms allow manufacturers the eminent ability to use intelligent Digital Assistants helping shop-floor staff take optimized decisions in real-time and significantly improve response time. These capabilities directly enhance manufacturers’ ability to apply advanced optimization techniques, follow best practices and thus meet strict OEMs’ quality, control, cost-reduction and delivery requirements, while remaining profitable and competitive.This paper will describe, and using real-life case studies demonstrate, what innovative Digital Assistants can do for manufacturers and how data collected by IIoT sensors, combined with Cloud Computing and AI algorithms, can analyze large data-sets holding the key to leverage rich digital context into intelligent automation, predictive and prescriptive analytics.
Author: Avner Ben-Bassat
Conference: SAMPE Seattle 2017