Watch: Shopfloor revolution – how data, software and AI are rebooting production

Post Thumbnail 600x400

OEMs and suppliers are transforming vehicle production through data and connectivity as much as hardware, with new artificial intelligence opportunities emerging. Watch this AMS Livestream Hour featuring VDMA, Fraunhofer IPA and Symbio to hear about the standards, systems and applications underpinning these changes.

Please enable cookies in order to watch this video


Register or login to watch this free livestream

Vehicle producers are increasingly using big data and software to reimagine manufacturing and make significant efficiency gains, whether in digitalising previously manual tasks, introducing new areas of automation on the shopfloor, or using connected devices and facilities to leverage artificial intelligence opportunities.

These developments are transforming production planning, processes, tooling and robotics, from enabling more flexibility in trim and assembly, high accuracy in metrology, implementing fleets of automated guided vehicles (AGVs) and smart transport robots, and rolling out predictive maintenance applications.

Such revolutions in manufacturing depend not only on hardware innovation but the continuous development of control software, particularly in the application of artificial intelligence applications. Data capture and analysis, high-speed connectivity and cloud-based systems are increasingly strategic for manufacturers to monitor, control and optimise the entire shopfloor, as well as robotics and automation assets.

In this AMS Livestream, robotics and AI manufacturing experts discuss the systems, software and standards that are helping the automotive industry reboot its manufacturing in the age of electrification, industry 4.0 and the need for maximum flexibility.

This episode includes insight from the VDMA – one of the most important associations for engineering and robotics – on interoperability standards for factories, with a particular focus on the OPC UA standard that allows for software connectivity between manufacturing facilities, devices, robotics and IT systems. Max Reynolds, the CEO and co-founder of Symbio, an AI-powered robotics company, discusses what a software-first approach to automation means for automotive manufacturing. Dr Werner Kraus, who leads one of the key robotics group at the renowned Fraunhofer Institute for Manufacturing Engineering and Automation (IPA), discusses research on cognotive robotics and how automation and AI can progress in new fields of automotive production.

This livestream features insight on:

  • Big data analytics – How are automotive manufacturers leveraging connected manufacturing networks, equipment and tooling to develop new solutions and processes?

  • Software first – How is software changing production processes, robotics and hardware applications across automotive manufacturing?

  • AI from planning to the shopfloor – Where is artificial intelligence having the biggest impact in vehicle production today, and what is the biggest potential for the future?

  • Operating standards – Will uniform, open platform control systems such as the OPC UA standard unlock greater networking potential for automated systems?

Register or login to watch this free livestream


Suprateek Banerjee, Head of OPC UA Technology Robotics and Automation Sector Group (R+A), VDMA
Dr.-Ing. Werner Kraus, Head of the Robotics and Assistance Systems department, Fraunhofer IPA
Maxwell Reynolds, Co-founder and chief executive officer, Symbio


Nick Holt, Editor,Automotive Manufacturing Solutions, Ultima Media
Christopher Ludwig, Editor-in-Chief, Automotive Manufacturing Solutions, Ultima Media


In Partnership



To watch this recording pleasesign-in   orregister free today

By signing-in or registering to watch you consent to receiving further information from us about this livestream and other related news, insights, intelligence and events. You also agree for us to share your contact information with our livestream partners and sponsors who may contact you about their related products and services. For more information about how we use your data and your opt-out rights, please see