C-Suite Insight: What Is the Industrial Edge?

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 Next Digital Transformation

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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Unleash New Capabilities with Innovation at the Intelligent Edge

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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How Data and AI are Fueling the Intelligent Edge

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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Critical Automation with Edge Computing

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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Understanding and Executing on the Autonomous Enterprise

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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Getting Back to Business with Edge

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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Industry Insight: The State of Smart Transportation

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:

  • Why does transportation need to be smarter? – Bill and Leonard discuss the motivations and the objectives that the auto industries and municipalities have for smart transportation. What is the carrot that is getting parties excited, or is the carrot not big enough to bring about the digital transformation we have all been expecting in some form?
  • What are the challenges facing smart transportation? – Smart transportation has taken a patently vehicle-centric focus as of late with excitement about self-driving cars that will function as robotaxi’s that will chauffeur us around. But progress for smart transportation solutions that could benefit the broader driving community have been nothing short of stagnant with only a few pilot project of any notice. What are the persistent challenges that get in the way of the smart future of transportation?
  • What kind of mindset change is need to make progress? – Do we have the right attitude about smart transportation? Could it be that we don’t think broadly enough about the benefits of modernizing our transportation system and how we will make that modernization happen?
  • What can the tech and “IoT” industry do to deliver the promise? – Bill and Leonard brainstorm what the tech community and industry can do to make IoT a thing for transportation. We discuss the approaches that can be considered to get investments and commitments to stick given short-term political and administrative agendas of our cities, counties, states, an dour nation.

reThink Podcast featuring Bill Pugh, Co-Founder & Managing Partner, Smart Connections Consulting

Our reThink Media Center features the YouTube video podcast of this episode.