AI and The Environmental Train Wreck 

Artificial Intelligence has reached a new level of public consciousness (and perhaps its own?) with the advent of easily accessible tools, portals and applications and breathless forecasts of utopia and doom that are washing over us like high tide on a Cape Cod Beach. The C-suite of the Fortune 500 are rapidly conducting workshops and offsites, startups are quickly editing their VC pitch decks and we’re all becoming a bit more educated on what AI could do, would do, and should do.

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Managing & Scaling Edge Infrastructure

In order for edge infrastructure to scale operationally and economically novel mechanisms and tools for managing services that are deployed across a fleet of edge cloud nodes. This is where the SMO or Service Management and Orchestration concept comes into play. Emerging frameworks from semiconductor, software, and increasingly OEMs are beginning to assume the important role of stitching together constellation of edge clouds.

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Plumbing, Electrical, HVAC… and 5G

Private 5G holds out a promise of ultra-low latency, secured and private, ubiquitous connectivity – across the campus, the factory floor, and across acres of commercial property – completely in the control of the IT department. Like any respectable tech, it had its own “mini” hype cycle. Every tradeshow had multiple a private 5G demos competing on speed, capabilities, coverage – you name it.

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The Edge is a Team Sport

Edge Compute is arguably one of the most of exciting and innovative areas of promise for commercials businesses. As semiconductors increase performance and use less power due to ever- improving fab processes, networks improve their capacity, latency and reach, software development leverages cloud native capabilities, and AI inferencing leverage cloud-trained models, we’re at an inflection point on how these systems can transform business.

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Generative AI at The Edge

The hype that is generative AI continues to rise and with it what is and will be and inevitable realization of the risks and the limitations of the technology, its rapidly growing range of applications, and investments in capitalizing on the ever-expanding landscape of theories of its revolutionary impact on society, industry, and civilization as we know it. We are also starting to see calls for responsible and confidential Gen AI. The “edge” may have some answers that we seek for safe and valuable use of generative AI technologies.

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