HPE presented its “Unleash AI” initiative at AI Field Day 7, highlighting its collaborative approach to AI solutions. The initiative, launched in early 2024, focuses on creating a robust partner ecosystem and providing end-to-end, pre-validated AI solutions. A key example is the Agentic Smart City AI use case in Vail, Colorado, which demonstrates how AI can improve municipal operations and address real-world challenges.
Watch on YouTube
Watch on Vimeo
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
Watch on YouTube
Watch on Vimeo
At AI Field Day 7, HPE presented its latest AI developments announced during NVIDIA’s GTC DC 2025, with a strong focus on its collaborative initiatives to simplify and operationalize AI workloads. Robin Braun and Luke Norris highlighted the challenges organizations face in deploying AI applications, particularly the difficulty of moving from pilot projects to full-scale production. HPE emphasized its partnership model, notably with Kamiwaza, to address this issue by integrating lifecycle management and streamlined AI operations, making it simpler for enterprises and government entities to maintain and update AI deployments.
A major highlight of the presentation was HPE’s AI stack tailored for various deployment scales, including private cloud environments and air-gapped setups suitable for sensitive sectors like public safety. Braun detailed advancements in scaling AI, such as leveraging RTX 6000 Pro GPUs and introducing pre-integrated, lifecycle-managed AI stacks that can function in isolated networks. These stacks are also being tied into HPE’s digital concierge services and AMP offerings, designed to help customers deploy and support AI solutions faster and more reliably, while also ensuring security and compliance across different use cases.
The Town of Vail served as a flagship example demonstrating HPE’s platform capabilities in real-world conditions. By utilizing existing infrastructure such as town-wide cameras and applying Kamiwaza’s AI backend, HPE enabled adaptive workflows, specifically for fire detection and urban sustainability efforts. This approach provided not only cost and operational efficiencies but also embodied Vail’s commitment to renewable energy and environmental goals. The collaboration between HPE, Kamiwaza, and integration partner SHI showcases how AI can drive meaningful public benefits, such as early fire warning systems and safer deployment environments, all while scaling to future smart city applications.
Personnel: Luke Norris, Robin Braun
Watch on YouTube
Watch on Vimeo
At AI Field Day 7, Robin Braun from HPE and Luke Norris from Kamiwaza presented their collaborative smart city solution, highlighting a real-world deployment in Vail, Colorado. The focus was on using agentic AI systems to improve core municipal operations such as information access, public safety, affordable housing oversight, and regulatory compliance. By integrating Kamiwaza’s backend intelligence with user-friendly digital interfaces powered by HPE infrastructure, they demonstrated the potential of AI-driven digital concierges and fire detection tools. These virtual assistants can provide localized, real-time information to residents and visitors about everything from dining options to emergency weather updates, while the fire detection system synthesizes data from existing city cameras, 3D geospatial models, and real-time weather data to support proactive emergency response.
One of the less glamorous but highly impactful use cases involves automating the interpretation and management of property deeds and housing regulations, many of which were previously stored on microfiche from decades past. HPE and Kamiwaza developed a solution that digitizes and then applies natural language processing and ontology mapping to thousands of deed restriction documents. This not only saves significant full-time staff hours but also enables scalable and equitable housing enforcement without the need for proportionate increases in bureaucratic staffing. Additionally, the system allows both government and citizens to query property data interactively, improving public access and transparency, and supporting future zoning or service decisions with much better data insight.
A significant part of the presentation focused on the long-term vision and ROI of public sector AI deployments. These weren’t just experimental pilots; instead, they already yielded tangible cost and time savings by replacing manual, repetitive processes with AI agents. Critical examples included the automation of 508 compliance audits, which traditionally cost millions over years but now can be performed in weeks with a fraction of the cost. Additionally, through a network of partners such as SHI for deployment and ProHawk for video enhancements, the smart city platform is designed to scale, support ongoing improvements, and adapt to increasing demands. The project demonstrates how AI transforms government services not by reducing workforce but by enhancing their capabilities, decision-making speed, and community responsiveness in areas from environmental risk to urban planning.
Personnel: Luke Norris, Robin Braun
Thank you for being part of the Tech Field Day community! Our mailing list is a great way to stay up to date on our events and technical content, and we appreciate your signup.
We promise that we’ll never spam you, send ads, or sell your information. This list will only be used to communicate with our community about our events and content. And we’ll limit it to no more than one message per week.
Although we only need your email address, it would be nice if you provided a little more information to help us get to know you better!
