WEBINAR
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Date: Wednesday, April 20, 2022
Time: 8:00 am - 9:00 am PT
Duration: 1 hour
Time: 8:00 am - 9:00 am PT
Duration: 1 hour
Join MOSTLY AI and NVIDIA to learn how AI-generated synthetic data is enabling AI fairness, explainability, and transparency in banking. An emerging, privacy-enhancing technology, it’s already being used by Fortune 100 banks to unlock sensitive data assets and enable privacy-preserving machine learning at scale. But this transformative technology goes beyond privacy. Machine learning developers and AI practitioners are discovering new use cases for synthetic data, ready to make not only privacy but fairness and explainable AI (XAI) a reality.
By attending this webinar, you'll learn:
- What AI-generated synthetic data is
- How synthetic data protects privacy and unlocks sensitive data assets for AI training
- About the most exciting synthetic data use cases for the financial services industry
- Why, with synthetic data, compliant and fast cross-border data sharing becomes possible
- How synthetic data boosts model performance and fraud detection
- Why synthetic data is essential for AI fairness, explainability, and algorithmic auditing
WEBINAR REGISTRATION
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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Speakers
Alexandra Ebert
Chief Trust Officer, MOSTLY AIAlexandra is a synthetic data expert for the financial services industry with deep expertise in privacy, fairness, and responsible AI. As the chief trust officer of MOSTLY AI, she's engaged in public policy discussions about privacy, ethical AI, and the emerging field of synthetic data and regularly speaks at international AI and banking conferences about reconciling personalization with privacy, ensuring fairness in algorithms, and overcoming the data challenges of digital transformation. Apart from that, Alexandra is the host of the Data Democratization Podcast, where she invites senior executives from some of the largest banks to talk about privacy and ethical AI best practices.
Jochen Papenbrock
Financial Services and Technology Developer Relationship Lead EMEA, NVIDIABased in Frankfurt, Germany, Jochen has spent the last two decades in various roles on the topic of AI in financial services, as a thought leader, implementer, researcher, and ecosystem shaper. He's a financial data scientist and received his degree and PhD from the Karlsruhe Institute of Technology (KIT). As a consultant, entrepreneur, and researcher, he worked with well-known asset managers, banks, insurance companies, and central banks. He's a manager at NVIDIA and works with partners, communities, and developers in financial services in Europe and global teams. Jochen is board member of the EU Horizon 2020 project FIN-TECH, specialty chief co-editor at Frontiers' Artificial Intelligence in Finance, and project leader in GAIA-X. He has published on AI and quantitative finance in the Journal of Financial Data Science, Journal of Investment Strategies, Financial Markets and Portfolio Management, Quantitative Finance, Applied Financial Economics, and Frontiers' Journal of AI in Finance and Journal of Network Theory in Finance.
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