Distributed edge intelligence in the face of real-world constraints – Highlights from VotE: Edge & Infrastructure Services
Enterprise adoption favors lightweight models, open frameworks and hybrid deployment strategies.
Biography
Rich Karpinski is Principal Analyst and channel lead for the 451 Research Internet of Things and Applied Infrastructure & DevOps channels within S&P Global Market Intelligence. Rich tracks, analyzes and anticipates the pace and direction of IoT adoption, as well as the use of IoT to enable vertical industry transformation. As part of that work, he oversees a quarterly survey of IoT adopters and a twice-annual survey of operations technology (OT) professionals. Before joining 451 Research (acquired by S&P Global Market Intelligence in 2019), Rich was mobile services analyst for Yankee Group and a technology editor for a range of industry publications in both telecom and enterprise IT. Rich’s recent areas of concentration include IoT connectivity and managed platform services, IoT edge computing, IT/OT collaboration, IoT market sizing and data flow analysis, IoT digital maturity analysis, and the adoption of IoT use cases across a variety of sectors. Rich holds holds a Bachelor of Arts degree from the University of Illinois and a Master of Science degree from Syracuse University.
Recent Research from Rich Karpinski
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451 Digital Industries Insider September
This edition of Digital Industries Insider spotlights strategic vendor moves in AI, smart buildings, grid modernization and cybersecurity — revealing how digital platforms converge to reshape infrastructure, automation and enterprise resilience.
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Take 5: Deploying at the edge
Once organizations clarify their definition of "the edge," they need to determine what computing infrastructure and services are best deployed there. Take five minutes to read five Voice of the Customer qualitative interview comments and what they mean.
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The dawn of industrial AI
This report examines the evolution of industrial AI, charting its progression from early predictive maintenance systems to today’s advanced, domain-specific models that drive efficiency, safety, and resilience in industrial operations. It analyzes primary use cases, explores the unique requirements of industrial AI models, and outlines an emerging vendor landscape of industry-specific solutions.
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Qualcomm embeds RFID to deliver ambient intelligence at the edge
The vendor is integrating the long-standing — yet at times commercially constrained — wireless standard into mobile silicon. The goal is to shift radio frequency identification from niche to native, redefining edge workflows and device economics across retail, logistics and industrial sectors.
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Arm amps up IoT and edge ambitions with new platform, playbook
The company's new platform targets growing demand for high-performance, on-device AI in embedded systems. It reflects a structural shift in Arm's edge compute strategy, from enabling connectivity and control to enabling intelligence and autonomy.
More research from Rich Karpinski
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