To successfully scale AI initiatives, enterprise tech leaders must first de-risk their underlying data architecture. As AI models consume unprecedented volumes of sensitive corporate data, relying on fragmented, self-managed pipelines or proprietary cloud lock-in introduces massive compliance, security, and operational risks. By standardizing on a fully managed, 100% open-source data plane deployed directly within their own cloud environment (BYOC), organizations can guarantee data privacy, ensure 99.99% pipeline resilience, and safely accelerate their AI roadmap.
Derisking Architecture in the Era of AI
Executive Dinner
June 16, 2026 - Chicago, IL
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