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.