
Financial Markets
Financial Markets are at a unique place and time in their evolution. They are faced with some of the biggest challenges in their history: full digitization of markets, technology-driven disruption, fee compression, and lower client switching costs, to name just a few. At the same time, they are embracing some of their biggest opportunities, many made possible by technology: the convergence of data ubiquity, high-speed processing, and the advanced technologies that comprise enterprise AI.
Discover how enterprise AI is driving the Financial Markets revolution.
Discover how enterprise AI is driving the Financial Markets revolution.
AI and Financial Markets
As Financial Market firms work to digitize and transform for growth and operational efficiencies, they are aggressively innovating and differentiating, as they compete to secure a larger share of assets and create a next generation client experience. From AI trading to AI fraud detection to the benefits of a machine learning stock market— artificial intelligence helps firms to reimagine their operations. By accelerating initiatives, leveraging their own data, and delivering bottom-line results, companies using machine learning for trading cannot just compete, but win.
Exceeding Client Expectations
- Identify client churn risk
- Retain the highest lifetime value clients
- Anticipate appropriate product offers (cross-sell/upsell strategies)
- Optimize new customer acquisition strategies
- Deepen client relationships
- Increase share of wallet
Risk Exposure
- Predict risk for ratings and outlooks
- Identify suspicious anti-money laundering activity with fewer false positives
- Detect and prevent account takeover and wire fraud
- Monitor trading and communication
- Detect and prevent cyber threats
Improving Operational Efficiency
- Understand channel effectiveness
- Predict customer profitability
- Asset allocation modeling
- Predict fund net inflow
- Reduce middle and back-office cost from process failures and error correction
- Optimize trade execution and routing for trading cost optimization

Use Cases Across Financial Markets
The opportunity to apply AI across financial markets is expansive. There are thousands of applications for automated machine learning to help ensure that financial market research and investment firms are empowered to make faster and better decisions.
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