Edge Computing
I recently spoke with an automotive manufacturer who mentioned that they are looking to invest at the edge as an engine for innovation—in the same way that they’ve done with cloud over the last decade. Edge is where the data is generated and where action is taken. For example, it’s where the self-driving happens in a self-driving car; where voice activation occurs to unlock a parked car; or where AI-powered orchestration acts in an intelligent manufacturing plant.
How integrating edge with cloud, data and AI unlocks value
Tim Lemons
The Smaller Title
I couldn’t agree with them more. Companies interested in tapping into the exponential potential of AI, should look at edge as the new frontier for innovation and investment. Even if AI models are developed centrally, the inferencing, and in some cases, the training, remains at the edge.
Accenture recently surveyed 2,100 C-level executives across 18 industries and 16 countries, and found that most companies believe in the value of edge. 83% think edge computing will be essential for future competitiveness. And 81% believe waiting too long will lock them out of the benefits.
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