Why the Intelligent Edge Will Be Important for Successful Industrial AI Edge Deployments

As the industrial sector evolves from pure IIoT, which focused mainly on connecting assets, to AIoT where pervasive industrial intelligence is the key business driver. We are experiencing a compounding demand for edge technologies that work in concert with cloud workloads. Leveraging the edge to run AI models will provide uninterrupted real-time actionable response while the Cloud executes less critical tasks such as model training, retraining, and sustainment as well as monitoring. This combination will optimize uptimes while minimizing the risk of unseen issues. In this on-demand webinar, we discuss the trends, technologies, and use cases surrounding the transformation from IIoT to AIoT at the edge. The webinar explains how to:

Analyze the business drivers for Intelligent Edge to enable industrial digital transformation
Understand the current state of edge-based technologies
Review the role of cloud computing, data infrastructure and analytics, and how they interwork with edge
Discuss some of the key use cases for Intelligent Edge and the associated business benefits
Outline a roadmap for today’s industrial organizations to successfully adopt this technology

Why the Intelligent Edge Will Be Important for Successful Industrial AI Edge Deployments

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Why the Intelligent Edge Will Be Important for Successful Industrial AI Edge Deployments

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