Based on the undeniable success of Advanced Data Analytics in Internet Companies, there's no doubt that manufacturers could reap massive benefits from adopting this "Data First' approach.

And for manufacturers, having this intelligent layer at the edge, closer to industrial data sources has proven to be more fitting and valuable.

To gain an understanding of the application of Edge Analytics for intelligent automation, I had a conversation with Martin Thunman. Martin is the CEO and Co-Founder of Crosser, a platform that was built with the realisation that low code edge analytics, automation, and integration software will play a critical role in accelerating the digital transformation journey of Industrial and asset-rich organizations.

You can check out the full conversation on the video linked below.

Outline:

✔️ Challenges in Industrial Legacy System integration with Industry4.0 technologies✔️ Requirements for next-generation industrial system integration solutions✔️ Edge Analytics and Opportunities it provides for Industrial Automation✔️ Functional Composition of an Industrial Edge Analytics Solution✔️ ISA95 vs Any-to-Any Hub Architecture✔️ Data Modelling Best Practices for Edge Analytics Solution✔️ Introduction to Edge Machine Learning Ops✔️ Required Hardware and OS Capabilities for Edge Analytics✔️ Crosser - Connectivity to Legacy Industrial Control Systems and Enterprise Applications✔️ Crosser - Data Management and Orchestration✔️ Common Uses Cases of Edge Analytics in Manufacturing✔️ The future of Low Code Platforms in Industrial Automation✔️ About Crosser

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