Today’s enterprises are investing heavily in AI/ML to drive smarter operations, better customer experiences, and faster insights. But even the most advanced models can fall flat without one crucial piece: the ability to act on predictions the moment they’re made.
This is where most AI stacks break. Predictions are generated, but decisioning is delayed—stuck behind legacy databases, brittle architectures, or siloed data layers that can’t keep up with the speed of the real world.
Volt changes the game.
In this report published by Database Trends and Applications (DBTA), you’ll learn how Volt empowers enterprises to make high-speed decisions that are trusted, contextual, and instantly executed—right when it matters most.
Volt unifies streaming ingestion, stateful memory, and sub-10ms decisioning into one real-time platform that scales across edge, cloud, and hybrid environments. Whether you’re enforcing SLAs in telecom, preventing fraud in finance, or optimizing production in industrial systems, Volt turns predictions into performance.
What You’ll Learn:
• Why traditional “real-time” stacks often fall short
• How Volt collapses complexity with a unified decision engine
• What makes real-time decisioning critical for AI-driven outcomes
• Real-world use cases in fraud prevention, SLA enforcement, and predictive ops
• How leading enterprises use Volt to bridge the gap between prediction and performance
Ready to connect your AI to real-world impact? Download the report and see how Volt Active Data helps you make every millisecond count.
