Computer vision has already cemented its place in smart manufacturing and industrial IoT solutions. But to unlock the full potential of these applications, more and more processing needs to be moved to the edge. The problem is that there is no one-size-fits-all approach when it comes to edge computing.

In this podcast, we will talk about the different “flavors” of edge computing, how to successfully deploy AI at the edge, and the ongoing role of the cloud.

Join us as we explore these ideas with:
Jason Shepherd, VP of Ecosystem at ZEDEDA
Blake Kerrigan, General Manager at Lenovo
Christina Cardoza, Associate Editor Director, insight.tech

Jason and Blake answer our questions about:

Recent transformations in the manufacturing industry The role of edge computing in industrial IoT solutions Successfully deploying AI at the edge The tools and technologies for edge computing When to use (and not use) the cloud Having the proper AI expertise and IT support Future-proofing manufacturing process and strategy Related Content

To learn more about edge computing in manufacturing, read Cloud Native Brings Computer Vision to the Critical Edge. For the latest innovations from Lenovo and ZEDEDA, follow them on Twitter at @Lenovo and @ZededaEdge, and LinkedIn on at Lenovo and Zededaedge.

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