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You are here: Home / Videos / Unleash AI with HPE and Kamiwaza

Unleash AI with HPE and Kamiwaza

HPE Logo 2025



AI Field Day 7


This video is part of the appearance, “HPE Presents at AI Field Day 7“. It was recorded as part of AI Field Day 7 at 10:30-12:00 on October 29, 2025.


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At AI Field Day 7, Robin Braun presented HPE’s “Unleash AI” initiative, emphasizing their collaborative and outcomes-based approach to bringing AI to practical use. Braun was joined by Kamiwaza CEO Luke Norris, in all three sessions. HPE launched the Unleash AI program in early 2024 with the goal of curating a robust partner ecosystem, offering customers end-to-end solutions that are pre-validated on HPE infrastructure and easy to deploy via the channel. They highlighted the importance of converting AI hype into real solutions by working closely with ISVs, creating relevant demos, marketing collateral, and training resources to make AI more accessible and actionable for enterprises. The program’s global scope and diverse use cases, from Vision AI to agentic AI, demonstrate HPE’s commitment to addressing the real-world needs of customers across various industries.

A key focus of the presentation was the Agentic Smart City AI use case in partnership with Kamiwaza and the town of Vail, Colorado. This initiative is a practical example of how municipalities can solve operational challenges using AI. By working with Vail, HPE and Kamiwaza developed several use cases, including improving ADA Section 508 web compliance through AI agents that identify and remediate accessibility issues, saving time and avoiding costly manual web redevelopment. This project broke down data silos and enabled interdepartmental collaboration without requiring cloud connectivity, as everything runs securely on HPE infrastructure. The result was not only a technically sound solution but also a model for how public agencies can adopt AI incrementally without excessive risk.

Kamiwaza’s agentic AI platform, demonstrated during the session, operates as a full-stack orchestration engine capable of connecting to and processing data across distributed environments using various hardware and AI models. Whether running on-premises or at the edge, it brings compute to the data while abstracting the underlying hardware, which enhances performance, scalability, and flexibility. The system incorporates advanced features like ReBAC, an enhanced role and attribute-based access control framework, and ephemeral sessions to enforce security and privacy rigorously. It enables enterprises, including government entities, to be “unbound” by token-based AI billing models and instead focus on fixed-cost, outcome-based deployments. These capabilities have already shown transformational potential in environments like Vail and attracted significant interest from large global enterprises.

Personnel: Luke Norris, Robin Braun

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