Gene Juknevicious is senior solution architect for Emerson, recognized for shaping next-generation communication platforms and architectures, with a strong focus on industrial computing and edge-based solutions. With deep expertise in edge computing, control networks, machine learning and modern computing architectures, Gene is trusted for staying at the forefront of industry evolution and translating complex technologies into scalable, market-ready solutions. Gene holds a Master of Science in Electrical Engineering from Stanford University and a Bachelor of Science in Electrical Engineering from San José State University.
TL;DR Many OT environments struggle with siloed data created by disconnected systems and technologies. Edge computing helps democratize data by making information more accessible across operations. Remote industries often cannot rely on cloud connectivity alone to...
Why this matters now As manufacturers push toward higher levels of operational excellence, many have adopted AI and machine learning technologies to close the gap between available resources and rising performance demands. These technologies have delivered step-change...
TL;DR AI is driving new computational demands at the industrial edge. Traditional GPUs compromise rugged industrial PC performance. MLSoC enables edge AI without sacrificing durability. Local LLMs reduce latency, cost, and cloud dependency. Edge AI enables greater...
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