FINTECH

Financial Technology (FinTech) is a prime example of an industry where success is dependent on speed, accuracy and predictive modeling. HPC computing is used to collect, analyze and act on huge amounts of data. HPC solutions are required for: fraud detection, trade signals, behavior prediction, risk assessment and much more.

In the era of FinTech startups and heightened marketplace competition, companies are constantly looking for faster ways to identify new opportunities for growth and establish first-mover advantage. Real-time data analytics and reliable predictive modeling are critical to success in these areas.

Financial institutions are prime everyday targets for global hackers. Only with sophisticated data analytics, can organizations verify millions of transactions in real-time to detect and address fraudulent behavior.

In today’s super-paced economy, success is dependent on high speed transactions. High frequency trading, robo trading, algorithmic trading, etc. are counted in milliseconds. An effective HPC computing solution allows companies to gain that extra millisecond, which could mean the difference between success and failure for any given opportunity.

Over the past decade, financial crises have exposed major flaws in predictive modeling for risk management. Detecting risk in complex financial securities requires continuous analysis of huge data sets. The use of cutting-edge AI tools and advanced analytics help companies detect, assess and manage ever-changing risk factors in their portfolio.

POWER THROUGH MASSIVE FINANCIAL DATA WITH TITAN AUTONOMOUS HIGH-DENSITY WORKSTATIONS AND SERVERS

Deploy your on-premise third-party software or your own proprietary models and applications with high-density and high-performance computing capabilities.

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