A leading Asset & Wealth Management firm faced data privacy regulations restricting the sharing of sensitive financial information. The firm had limited access to robust research and analysis data and needed a solution to enable informed decision-making.
Key Business Challenges
1. Data privacy regulations limiting data sharing.
2. Limited access to diverse and privacy-safe datasets.
3. Restrictions on research, analysis, and algorithm development.
1.AdfarTech implemented a Synthetic Data Generation solution using Generative AI (GANs & VAEs models).
2. Generated privacy-safe and diverse synthetic datasets, enabling compliance with privacy regulations.
3. Empowered extensive research, predictive modeling, and stress testing with data mirroring real-world scenarios.
1. Reduced data preparation activities by 60% through the use of production-grade synthetic data enabled development teams. The availability of high-quality synthetic data eliminated the need for extensive data gathering and cleaning, allowing teams to focus on building and testing algorithms more efficiently.
2. Managers can optimize investment strategies, forecast market trends, and enhance risk assessment with confidence.
3. Decision-making capabilities propelled through informed analysis and data-driven insights.