Modern financial institutions thrive on speed, precision, and trust. From optimizing trading performance to detecting fraud in real time, leading firms are turning to AI-driven data strategies to stay ahead. Here’s how.
Any Data. Any Application. Anywhere.
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Expose Intraday Risk with AI-Powered Visibility
EOD (End-of-Day) risk analytics are a regulatory requirement — but intraday events can lead to counterparty default before analytics catch up. Infinia exposes risks as they develop, not after.
What it enables:
Streamline AI Workflows with Unified Access to Structured and Unstructured Data
AI success starts with clean, connected data. Unified pipelines power faster model prep, training, and inference.
Accelerate Market Execution with AI-Optimized Data Movement
In high-frequency and algorithmic trading, milliseconds drive outcomes. Traditional infrastructure can’t keep pace with the need for real-time, intelligent action.
Leading financial institutions are using AI and machine learning to make data-driven decisions to change the way they operate with enhanced financial modeling, fraud detection, and real-time analytics. However, traditional low-throughput data infrastructure slows these decision-making processes down, hurting the agility of companies unwilling to make changes.
To make data-driven decisions in real-time and stay competitive, financial institutions need a high-throughput data platform capable of delivering data with near-zero latency at any scale.
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DDN makes deployment, management and scaling simple for even the largest AI applications.
