Innovation is such a generic and overused term. It seems that every organization claims that they are, or aspire to be, innovative. But what does it mean to innovate with all the artificial intelligence (AI) capabilities coming to the edge? What kind of approach should you have to take this expansive and complex thing that is edge computing plus AI to discover opportunities for creating value that was not there before for your business or your customers?
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Let’s talk about the first principles of edge computing. Edge computing – why do we do it? Why will we do it? To be honest, edge computing is such a broad and deep topic, it is difficult to discuss the need for it. There are several lenses that can be applied to consider rationale and benefit. I will give it a shot and appreciate your help if you think I got it wrong. We are all in this together.
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What is edge computing? The term has become the buzzword du jour. Many industry pundits claim that edge computing is the next big thing. Others claim that we have been doing computing at the edge for decades. To make matters even more confusing, some folks say that the edge is everything outside of the data center. What does it all mean?
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With the advent of Release 16 of 3GPP’s 5G technical specification and the introduction of SA (Standalone) 5G NR, operators can now explore the benefits of E2E network slicing. It will be critical in enabling dynamic placement of network functions across mobile network edge. But 5G is also about MEC which will converge the pipe with compute.
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