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Leveraging insights within your payments data can deliver a distinct competitive advantage; however, the dilemma is effectively extracting those key insights, while ensuring that sensitive personal information is protected, not shared, or put at risk.
In this Webinar you will learn how financial services companies are using synthetic data to safely transform their data assets into privacy-compliant and statistically-relevant data that is now able to be safely migrated data to a cloud environment for access to on-demand computing, rich data analytics tools, and data monetization opportunities.
Panelists will discuss the trends of cloud adoption within financial services, how synthetic data is safely being generated/developed; and use cases for synthetic data in place today (i.e data analytics, machine learning, AI and product development, as well as data-sharing and monetization with external parties).
Chad Whitney, SVP, Data Partnerships at Facteus
Matt Napoli, Business Development, Amazon Data Exchange at Amazon Web Services
Tim Sloane, VP, Payments Innovation at Mercator Advisory Group
Commercial & Enterprise Payments
Debit & Alternative Products
North American PaymentsInsights
Small Business PaymentsInsights
Fraud Experience PaymentsInsights
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