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In this interview from the Neo4j AI Luminaries interview series, Vito Palermo, founder and chief executive officer of Seismora, joins theCUBE's John Furrier to discuss how the company is building an intelligent control plane to route AI workloads across what Palermo calls the "agentic internet." Palermo explains why edge inference demands extreme latency control, often under 50 milliseconds, and how placement of workloads across devices, edge and neoclouds becomes the real engineering challenge. He details why ontologies and knowledge graphs are essential to normalize structured, unstructured and semi-structured data, giving large language models the business context needed to reason accurately and avoid hallucination. The conversation also explores why Palermo views tokens as a flawed unit of measure, arguing the industry needs an outcome-based metric instead. He introduces Seismora's concept of an "agentic clearing unit," a cost calculation spanning network, storage, memory, energy and GPU consumption used to optimize workload routing before execution. Palermo discusses how enterprises already invested in Databricks, Snowflake or Microsoft Fabric can layer Neo4j and knowledge graphs on top to create a semantic reasoning layer without moving their data. He also touches on "cognitive routing" across heterogeneous neoclouds and models, positioning Seismora as a neutral middle layer akin to the internet's original routing infrastructure. From weather sensors to machine-to-machine payments, Palermo lays out a vision for distributed inference becoming the backbone of the next wave of autonomous, personalized applications. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - From Vision to Reality: The Evolution and Future of AI Networking 03:24 - Integrating Graph Technologies in Robotics and Networking 06:54 - Integrating Specialized Intelligence with Distributed Systems 09:18 - Tokens vs. Agentic Clearing Units 12:08 - Enterprise Data Strategies: Balancing Readiness and Innovation 17:07 - Dynamic Enterprise AI and Personalized Intelligent Solutions 20:21 - Focus on Distributed Inference and Cognitive Routing 22:50 - Practical IoT Insights and Reflections #theCUBE #AILuminaries #Neo4jDataToKnowledge #theCUBEresearch #NYSEWired #Seismora #Neo4j #AI

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