What is the Industrial Edge? This is a topic that is heavily debated in techno circles outside of the industrial domain. Schneider Electric describes the industrial edge as, “the places where digitized industrial assets and human operators are located. Siemens describes it as, “an open, ready-to-use Edge computing platform consisting of Edge devices, Edge apps, Edge connectivity, and an application and device management infrastructure.”
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The 2022 IEEE Vision, Innovation, and Challenges Summit and the venerable Honors Ceremony took place in San Diego presided by K.J. Ray Liu, 2022 IEEE President and CEO on May 6. The event was held at the San Diego Marriott Marina Hotel. I had the honor of being invited to attend in person and was the first IEEE event since becoming a member this year.
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The Milken Institute Global Conference provided neXt Curve a unique opportunity to engage with a diverse community of leaders and thinkers across industries and domains of expertise to contemplate the role and essentiality of connectivity, computing technologies, and digital transformation in helping societies, economies, and individuals adapt and thrive through crises of humanity and nature as they look forward and create a more connected, resilient world.
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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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One of the more exciting things happening across a variety of edges is artificial intelligence. It is becoming more prevalent especially on our consumer devices, but also across a fast-expanding range of IoT devices that are enabling intelligent digital twinning of factory equipment or monitoring of crops in a field.
As AI-capable devices and emerging edge infrastructures foster new concepts in distributed AI architectures, business leaders and the C-suite can expect pockets of opportunity to arise across an increasingly cognitive and intelligent edge.
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This analyst brief, authored by Acceleration Economy Analyst Leonard Lee, with contribution from analysts Kenny Mullican, and Ronak Mathur, offers insights into critical automation that is used at the network edge. And how those technologies are redefining workflows, changing value propositions, and creating autonomous environments that enable enhanced efficiencies, by removing manual processes from critical operational workflows.
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In this installment of the Cutting Edge, I’m going to suggest a big picture hypothesis for why edge computing will matter for businesses in the future while attempting to avoid hyperbolizing the possibilities that often are the outcome of such exercises. Hopefully, I can get your creative juices flowing with some inspirational perspectives on edge computing and how it can help you rethink process automation and operations optimization.
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Enterprises and government organizations are automating and transforming their businesses and a greater number of applications require low latency, real-time business and operational intelligence. This driving game changing trend will require edge computing….essentially moving data collection, storage, analysis, and intelligence to the data collection point or end-point device. This data collection point or end-point device may range from things such as a factory floor, a medical patient, an elevator, a store front, and even a college campus. The opportunities are endless and an estimated 3 in 4 businesses will be using edge computing solutions over the next 5 years.
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Smart transportation is closely tied with smart city initiatives. What happens when vehicle travels from a smart city to one that might not be so smart? Will autonomous vehicles bridge the intelligent transportation divide, or will autonomous vehicles rely on a smart infrastructure to support functions critical to improving public safety, traffic efficiency, and sustainability?
neXt Curve is joined by Bill Pugh, co-founder and managing partner of Smart Connections Consulting LLC to explore the following topics:
Our reThink Media Center features the YouTube video podcast of this episode.
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served recently. Telefónica comes across as very grounded, pragmatic, and focused on its core competencies. In the event, it emphasized two primary territories for innovation.
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