Latest News
- Disaster and Business Continuity
- Derivatives Operations +
-
Securities Operations
+
- IBOR
- Affirmation, Allocation & Confirmation
- Back Office
- Buy-Side
- Case Studies
- Clearing
- Corporate Actions
- Data Management
- FX Operations
- Hedge Fund Operations
- Industry News
- Private Equity
- Mergers & Acquisitions
- Middle-Office
- Operational Risk
- Ops Automation
- Outsourcing
- Private Markets
- Reconciliation & Exceptions
- Risk Management
- Sell-Side
- Settlement
- T+1 Settlement
- Diversity & Human Interest +
- FinTech Trends +
- Opinion +
- Performance Measurement +
- Regulation & Compliance +
- Industry News +
- FTF Media & Content Channels +
- FTF Bull Run Blog
Artificially generated synthetic data can replicate the statistical properties of real data, which could prove useful as training data for Generative A.I. models and more.
The phenomenon of “synthetic data” — which is data that once artificially generated replicates the statistical properties of real data — is a potential new tool on the horizon for investment management operations because it can be used to improve model training, portfolio optimization, stress testing, and risk analysis, according to James Tait, an affiliate...
Already a subscriber? Login here