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Dan
Ciruli
Senior Director of Product Management
Nutanix
Dan is an accomplished product executive with a wealth of experience in building groundbreaking enterprise software. He has guided products through every stage of the software development lifecycle, from launching version one products at startups to overseeing large portfolios of legacy products. A passionate advocate for open source, Dan believes that a product leader’s role is to be the voice of the customer, inspiring and guiding their team to build products that people will genuinely love.
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29 April 2026 11:15 - 12:00
Panel:The Open Stack Advantage: How Cloud Native and Open Source Accelerate AI-Powered Product Innovation
The era of AI innovation is defined by speed, scale, and strategic collaboration. For senior product leaders, the critical question is not if you use AI, but how fast you can translate the latest models into customer value. This panel moves beyond the hype to provide a clear strategic roadmap. We will demonstrate how adopting Cloud Native architectures (e.g., microservices, containers, and orchestration) and strategically embracing Open Source Software (OSS) creates an unparalleled acceleration engine for AI products. Discover how this "Open Stack Advantage" enables your teams to: - Slash Time-to-Market: Leverage battle-tested OSS AI frameworks and tooling to focus your engineering resources on proprietary data and model training—your true competitive differentiator. - Achieve Elastic Scale: Ensure your AI features can instantly scale from MVP to millions of users, de-risking high-growth product launches. - De-Risk Vendor Lock-in: Maintain architectural flexibility and portability, preventing reliance on a single proprietary vendor for core infrastructure. - Attract Top Talent: Position your organization at the forefront of technology, appealing to the world's best AI/ML engineers who build and contribute in the open. Attend this session to gain practical, actionable strategies for leveraging the global open-source ecosystem to build, deploy, and iterate on AI products at the velocity required for market leadership.