Using AWS IoT for Industrial Applications


Using AWS IoT for Industrial Applications



When:
May 31 | 11:00 AM - 11:45 AM PT (2:00 PM - 2:45 PM ET)

Level 200 | Solutions Best Practices
Industry 4.0 is here, and organizations are rapidly automating factory floors, machinery, and production lines. Industry 4.0 promises to improve efficiency and lower operational costs, but there are challenges along the way such as device security, device management across diverse fleets, and analytics. Join us to learn how you can quickly onboard your fleet of connected devices, keep them secure, and build predictive analytics. We will walk through three key use cases for Industrial applications including predictive quality, asset condition monitoring, and predictive maintenance and share reference architectures. We will discuss key features of AWS IoT Core such as the device SDK, the rules engine, device shadow, message broker, and authentication so you understand how to manage your fleet and the millions of messages they generate on a secure platform. We will also explain how AWS IoT Analytics can be used for machine learning.

Learning Objectives:
• Understand how AWS IoT can be used for Industrial Applications including predictive quality, asset condition monitoring, and predictive maintenance
• Know how features of AWS IoT Core such as the rules engine, device shadow, and message broker are used for industrial applications
• Articulate how AWS IoT Analytics supports machine learning

Who Should Attend: IoT Developers, Cloud Architects, Developers, Data Scientists

Speaker(s): Neel Mitra, Solutions Architect, AWS; David Bartlett, Chief Technology Officer (CTO) & Chief Information Security Officer (CISO), Panasonic Avionics

Register for the Webinar