AI/ML
Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
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Fraud losses are up 430% since 2020. The window to stop them has not grown at all.
Key takeaway Reported consumer fraud losses reached $15.9 billion in 2025, up nearly 430% since 2020. The biggest losses come…
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The Systems Gap: Why the Model Is Rarely the Problem, and the Gap Between Systems Is
Fraud losses keep rising despite record investment in detection, because in most financial services stacks the systems that hold state,…
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Shiny Object Syndrome: Separating Real Fintech Value from Demo-Stage Hype
FinovateFall wrapped in New York last week: three days, dozens of live demos, and an agenda dominated by AI in…
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What Turns an Agentic AI Recommendation Into an Automated Network Decision?
In June, in the middle of the World Cup, Jai Rajaraman of Ocient and I presented a webinar with STL…
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What We Learned About Agentic AI in Financial Services at FinNext 2026
FinNext 2026 brought together leaders from banking, fintech, payments, lending, and technology to talk about where the financial services industry…
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Why FS institutions have more intelligence than they can act on
Financial institutions have spent the last decade building serious analytical capability. Sophisticated fraud models, mature ML platforms, years of transaction…
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From Hype to Production: Solving the Data Currency Gap in Agentic AI for Telcos
Walking the floors of MWC this year, one thing was immediately clear to me: Agentic AI has officially moved out…
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Real-time data isn’t enough. Real-time decisions are.
At the Gartner Data and Analytics Summit in March 2026, the conversation kept returning to the same problem: organizations have…
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Three Trends Reshaping Real-Time Systems in 2026
As we move through 2026, three major shifts are converging to fundamentally change how organizations build and operate mission-critical systems.…
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Closing the IT/OT Decision Gap: How Volt + Innominds Turn Real-Time Signals Into Reliable Business Outcomes
The Problem Every Enterprise Recognizes Every enterprise today faces the same fundamental challenge: critical information lives in silos, and by…
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Why Agentic AI Requires a “Determinism-First” Architecture
The current discourse around AI is fixated on the “Brain” – Large Language Models (LLMs) and the generative capabilities of…
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2025 Takeaways: The Year Real-Time got Real
In 2025, real-time decisioning shifted from a technical ambition to a business requirement. As streaming, AI, and edge computing matured,…
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.