Industrial Edge Computing: Strategies That Scale

Edge computing is quickly becoming known for its ability to improve business operations by reducing latency, delivering high performance, and providing real-time insights. But despite its promise, many businesses—especially in the industrial space—struggle to successfully adopt edge computing. One challenge is that industrial edge computing can be complex to scale. While it is relatively easy to get started with a few edge devices, managing a large-scale edge computing infrastructure can be daunting. Additionally, lack of a single edge computing standard can make it difficult to integrate edge devices and applications from different vendors. To overcome these challenges, businesses need to take a strategic approach to edge computing adoption. This includes carefully planning their edge computing architecture, selecting the right edge devices and applications, and implementing a robust management and orchestration framework. In this podcast, we discuss the state of edge computing across different environments, how businesses can successfully approach edge computing, key challenges and how to solve them, and what the future holds for edge computing in this space. Join us as we explore these ideas with: Martin Garner, Head of IoT Research, CCS Insight Dan Rodriguez, VP and GM of the Network and Edge Solutions Group, Intel Christina Cardoza, Editorial Director, insight.tech Martin and Dan answer our questions about: 2:49 The state of edge computing 7:04 Different edge opportunities for businesses 11:14 Why adoption is more challenging for manufacturers 15:02 How to successfully approach edge computing 20:52 Lessons learned from industry examples 24:08 The edge computing ecosystem and partnerships 26:36 Future proofing investments and efforts 28:00 What’s next for edge computing Related Content To learn more about adopting edge computing, read IoT Initiatives to Scale Industrial Edge Computing. For the latest innovations from CCS Insight and Intel, follow them on Twitter @ccsinsight and @intel, and on LinkedIn at CCS Insight and Intel Corporation.