Financial services firms are under significant competitive and regulatory pressure to transform. Critical to this transformation is a solid foundation of trusted data. By leveraging growing volumes of data for analytic insights and AI, financial services firms can deliver a differentiated, personalized, and data-driven customer experience, protect and grow their assets, and keep sensitive data safe and secure. To achieve this, firms must overcome challenges including high costs of cloud, incomplete insights, data quality concerns, lack of real-time reporting, stringent data protection, security landscapes, and more. This paper offers expert guidance on how the data lakehouse uses data and AI to solve the above challenges. You’ll get access to architectural blueprints to key financial services use cases like customer experience, fraud prevention, risk mitigation and implementing open banking and personalized marketing.