When time-to-action requires very low latency, the immediacy of data visualization makes all the difference. Being able to analyze vast amounts of multi-dimensional data in real-time requires massive throughput, and an in-memory architecture designed to deliver instant insights at scale. Check out this episode of DM Radio to hear how advanced optimization techniques leveraging multi-core CPU, GPU, contiguous memory, and advanced compression are re-inventing what is possible. Marc Stevens and Mikhail Pikalov of Row64 will demonstrate several use cases where traditional approaches would falter. Attendees will learn: * How the real-time visualization of data changes decision-making dynamics when seconds matter; * How hardware-accelerated computing stacks can deliver speed and scale to visualization layers; * Practical use cases, from cyber security to city intelligence, where ultra-low-latency visualization drives faster, better decisions; * Key architectural principles for building environments that deliver immediacy, scalability, and reliability.

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