Smart Manufacturing Episode #4: Bridge the OT-IT Gap for DataOps at the Edge - AWS Online Tech Talks

Cloud services have become a key component of digital transformation because of their ability to store, process, and analyze large amounts of data in a centralized location. However, integrating industrial data with enterprise systems in the Cloud has proved to be challenging for many industrials. Bridging the OT-IT gap requires a solution that can merge real-time, transactional, and time-series data into a single payload, model and contextualize this data, exchange information with Cloud services, and deliver an agile architecture. Bridging the OT-IT gap requires an Edge-native DataOps approach. In this session, HighByte, an AWS Partner, will share 4 real-world use cases of industrial companies who have used a DataOps approach to achieve multi-system integration, high-resolution data analytics, multi-site monitoring, and Cloud-to-Edge execution. Attendees will gain an understanding of data modeling and architectural best practices through these 4 use cases. Learning Objectives: * Objective 1: Understand the fundamentals of Industrial DataOps and the benefits this approach provide. * Objective 2: Learn how to collect and transform industrial data from various sources, including PI System, and prepare this data for analytics on AWS . * Objective 3: Learn how to maintain system integrations throughout the life of the factory without writing code. ***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/industrial/ ****To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/Smart-Manufacturing-Episode-4-Bridge-the-OT-IT-Gap-for-DataOps-at-the-Edge_2022_1016-IND_OD Subscribe to AWS Online Tech Talks On AWS: https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1 Follow Amazon Web Services: Official Website: https://aws.amazon.com/what-is-aws Twitch: https://twitch.tv/aws Twitter: https://twitter.com/awsdevelopers Facebook: https://facebook.com/amazonwebservices Instagram: https://insta