machine learning
Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
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How Volt Active Data Serves Machine Learning Models in Real-Time
In my previous blog on big data analytics, we discussed how to apply your big data analytics to real-time applications. The…
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The 3 Horsemen of the Legacy System Apocalypse
The world is speeding up; people expect customized information and services immediately. In these tumultuous times, some companies are clinging…
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Volt Active Data Innovation Week: Driving Product Roadmap
Recently we held our Q1 Innovation Week, culminating in presentations and voting on the innovation projects created by our engineering…
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How Real Time Are Your Analytics?
Not surprisingly, your business has collected a lot of data over the past few years, and you have used some…
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Volt Active Data Releases V8
Volt Active Data is pleased to announce V8. Our engineering team has spent the last year adding features across the…
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Using UDF for Machine Learning
We added support for scalar user-defined functions in our recent release, Volt Active Data V7.6. With this feature, users can…
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Fast Data Pipeline Design: Updating Per-Event Decisions by Swapping Tables
Volt Active Data was one of the first companies to enable a new modern breed of applications, applications that combine…
Let’s Talk
Volt is the real-time decisioning layer for mission-critical systems, ensuring decisions are made and enforced immediately against accurate state, even under sustained load.
If your system cannot tolerate delayed enforcement, inconsistent behavior, or reconciliation after the fact, let’s start a conversation about whether a dedicated decisioning layer makes sense for your architecture.