From Autonomous Robots to Lights-Out Operations: Automate Your Intralogistics End to End presented by SAP, Continental and KINEXON
Tuesday, September 3rd 2024 - 3:00 PM (GMT) - Webinar with SAP, Continental and KINEXON
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Tuesday, September 3rd 2024 - 3:00 PM (GMT)
About 45 minutes
About this event
What you will learn in this webinar
How to access your current AMR operations: Analyze market trends and your existing AMR setup. Utilize insights from the Capgemini study on industrial robotics and digital twins.
How to overcome manual AMR orchestration challenges: Identify common pain points in manual processes.
How to integrate SAP solutions into your AMR operations: Understand the benefits of SAP integration for AMR. Follow practical tips, and strategies to enhance the impact of digital tools.
How to scale AMR operations efficiently: What you need to consider when implementing AMRs at a single site, and across multiple locations.
How to leverage best practices from Continental: Apply key takeaways, actionable insights, and KPIs to your operations.
How to prepare for AI-driven, lights-out operations: Adapt job roles with training and development strategies. Build the necessary technological infrastructure for full automation.
Get first insights in 3 minutes
Don't miss this opportunity to discover from three industry leaders on how to achieve 24/7 productivity and efficiency with minimal manual effort and reduced workload.
Let your shopfloor operate seamlessly and efficiently around the clock!
Hosted by
Guest speaker
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Till Dengel
VP Product Marketing for Logistics, Asset & Service Management @ SAP
Guest speaker
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Prof. Dr.-Ing. Tobias Bornemann
Head of Product Management Autonomous Mobile Robots for Intralogistics @ Continental
Team member
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Robert Segal
VP Sales, Industrial IoT @ KINEXON Industries
Team member
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Stefan Biermeier
VP Business Development @ KINEXON Industries
Connect and automate operations in production and logistics
Empowering industry leaders with a real time automation platform for precise orchestration of industrial assets to gain next-level efficiency, sustainability, and AI capabilities.