Managing AI & Smart Robotics Risk In Industry 4.0 today and 5.0 tomorrow. Martin Ciupa Chief Automating Artificial Intelligence Officer Automation Mindmaze, Switzerland martin.ciupa@mindmaze.ch featuring Really Useful Machine Learning November 22 nd 2018 CCMI Brussels
https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/disruptive-technologies
Source: Are Risk Managers Ready for Artificial Intelligence? https://www.garp.org/#!/risk-intelligence/technology/disruptivetechnologies/a1z40000003pikaeag/risk-managers-ready-artificial-intelligence
Tech Risk Hype, or Tech Opportunity Hope?
Tesla halts Model 3 production as firm scrambles to improve automation Firm struggles to hit targets for mass-market electric car after reeling from excessive automation and mounting pressure
Digital Twinning, Simulation and VR/AR Digital twinning is the mapping of a physical asset to a digital platform where it can be used for various purposes. The digital twin uses data from sensors located on the physical asset to analyze its efficiency, working condition and real-time status. Manufacturers program the models with decentralized decision-making that learns from data to provide suggestions and make decisions with the aim of streamlining production. Machines can collect information throughout their lifetime to simulate processes for future advancements, resolving reductions in productivity and precision. Plant managers can analyze data collected by digital twining to predict breakdowns before they happen and report them to operators to save money and time during production. Before the faults occur, businesses can order parts from companies that source automation components, reducing the risk of downtime caused by broken machinery. Historically, designers had little opportunity to test and amend their prototypes. However, digital twinning lets manufacturers edit a virtual prototype throughout the production process. After analyzing simulations, the final construction is more efficient, which reduces development time and costs. The digital model can be analysed for optimization opportunity with VR immersive tools and the physical model (during implementation and post production with AR.
Is there a risk of massive job loss? A major report entitled Future of Jobs, released during the recent World Economic Forum in Davos, Switzerland, predicts that the so-called Fourth Industrial Revolution will eliminate 5.1 million jobs in the world s 15 leading industrial nations. https://www.engineering.com/advancedmanufacturing/articleid/11413/video-will-robots-really-kill-manufacturing-employment.aspx
Robots for Robotic Jobs Humans for Humane Jobs. AI will lead to humans losing their jobs and widespread redundancy that s the theory, anyway. However new research has suggested that firms which are investing in smart, automated and selfteaching systems are more likely to be creating jobs with it. Researchers at Capgemini surveyed 1,000 organizations which have deployed AIbased systems and found that four out of five of them have created more jobs. Additionally, two thirds of respondents said there have been no reduction in overall jobs due to AI.
The Healthcare industry is about to progress toward the fifth stage of the sector: Health 5.0 https://medium.com/qut-cde/health-5-0-the-emergence-of-digital-wellness-b21fdff635b9
Healthcare Drivers http://www.who.int/bulletin/archives/78%286%29717.pdf
MindMaze MindMotion: A proprietary suite of products to enhance neurorehabilitation for hospital and home care.
MindMaze Mask: Bringing emotions into VR Synchronizing physical emotion with digital emotion through neuro-vr technology
https://sites.google.com/a/imreltd.co.uk/unconference-ai-gx/projectupdates/thefutureisdystopianorbright