Now Available On Demand
Originally Recorded: September 25, 2018
Speaker: Kevin Oleniczak - Solutions Architect, Amazon Web Services (AWS)
Sponsored by: Amazon Web Services (AWS)
Moderator: Thomas Wilk, Editor-in-Chief, Plant Services
Predictive maintenance holds great promise to improve efficiency and productivity in industrial operations across many industries, but how do you get started? Join us for a deep dive into how you can deploy a cloud-based IoT solution that captures the state of industrial equipment so you can predict potential breakdowns and plan maintenance work to ensure uptime. You will learn how to create predictive maintenance models and deploy them into your industrial environments. We will explore a reference architecture and AWS IoT edge-based software and cloud-based services.
• Understand an IoT reference architecture for cloud-based predictive maintenance
• Learn how AWS IoT Analytics helps you create predictive maintenance models
• Become familiar with how AWS IoT services work together for industrial applications
Learn more about our Speaker:
Kevin Oleniczak - Solutions Architect
Amazon Web Services (AWS)
Kevin Oleniczak is a Solution Architect at AWS focused on helping customers and partners innovate with the cloud. With his over two decades of experience delivering big data and analytics solutions, he guides industrial and telecom customers to be successful with IoT and serverless architecture. He holds a bachelor’s degree in Electrical Engineering Technology from the Milwaukee School of Engineering. Kevin is also active in the IoT community and is a frequent blogger on the AWS IoT Blog. You can check out his most recent post here: https://aws.amazon.com/blogs/iot/using-aws-iot-for-predictive-maintenance/.