Marinka Natale
Asking the questions others avoid to innovate a future built on intention
New York City, New York, United States
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Marinka Natale works at the intersection of cloud, data, AI, and human decision-making, helping organizations question momentum before scaling complexity. Her work centers on asking the questions others avoid—examining not just what technology enables, but whether it is aligned with what people, organizations, and systems actually need.
With experience across healthcare, analytics, emerging technology, and applied research, Marinka brings a systems-level perspective that connects technical architecture with governance, incentives, and real-world outcomes. She is known for challenging default assumptions around innovation, particularly when new tools amplify noise rather than clarity.
Marinka is the Chair of the IEEE Cloud Summit and the founder of LynxIQ, where she advises organizations on designing cloud and AI systems with intention, accountability, and long-term value in mind. Her work emphasizes discernment, restraint, and responsibility as essential components of meaningful technological progress.
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From More to Meaning: Designing Cloud, Data, and AI Systems That Actually Create Value
Over the past decade, organizations have rapidly expanded their cloud, data, and AI footprints. More platforms. More dashboards. More automation. Yet many teams report increased operational complexity, slower decision-making, and rising skepticism about return on investment.
This session explores why technical advancement alone does not guarantee progress—and how intentional system design can restore clarity, trust, and value. Drawing from real-world enterprise, healthcare, and research experiences, the session reframes cloud and AI architecture as socio-technical systems shaped as much by human behavior, incentives, and governance as by tools.
Participants will examine common failure patterns behind “more-is-better” strategies, learn how to recognize misalignment early, and walk away with a practical framework for designing cloud and AI ecosystems that are purposeful, resilient, and aligned with real outcomes rather than activity metrics.
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