Oracle launches AI-powered analytics applications for banks and insurers

By Divya Shah

Why this matters: AI-powered analytics help financial institutions turn complex data into actionable insights, improve risk management and strengthen customer and treasury decision-making.

Oracle has launched two new analytics applications designed to help banks and insurance companies analyse financial data, improve business decisions and identify new opportunities using artificial intelligence (AI). 

The new applications, Oracle Financial Services Data Intelligence Treasury Analytics and Oracle Financial Services Data Intelligence Customer Analytics, combine pre-organised financial data with AI-powered tools to help businesses understand complex information. Both solutions are now generally available globally. 

The applications use Oracle Analytics Cloud’s AI Assistant and Auto Insights features. These allow business users to ask questions in everyday language, generate data visualisations and automatically identify patterns in financial data. This is intended to help financial institutions make faster and better-informed decisions. 

Oracle’s new applications aim to address these challenges by providing a connected analytics platform that helps business leaders track performance, understand changes and identify the factors behind business trends. 

Jason Wynne, Senior Vice President of Product Management at Oracle Financial Services, said that financial institutions needed faster and more reliable answers rather than simply more dashboards.  

He added that the applications combine financial data with conversational AI and automated insights to make business information easier for teams to access and use. 

Oracle Financial Services Data Intelligence Treasury Analytics is designed for treasury, finance and risk teams. It provides a combined view of liquidity, funding, cash flow, balance sheet performance and market risk. 

Using natural-language questions and automated insights, users can examine funding and liquidity trends, investigate unusual patterns and understand changes in balance sheet performance. These insights can support better funding and liquidity decisions. 

Meanwhile, Oracle Financial Services Data Intelligence Customer Analytics helps financial institutions understand customer profitability, product adoption, portfolio performance and customer retention opportunities. 

The application brings together information across customers, products, channels, locations and customer lifecycles. Its AI-assisted tools allow businesses to examine customer behaviour, identify growth opportunities and better understand factors affecting customer retention. 

The platform also reduces the need to manually combine information from separate customer, accounting, profitability, treasury and risk management systems. 

Both applications form part of Oracle Financial Services Data Intelligence, a suite of platforms and pre-built applications that brings together financial, risk and operational data to support AI-powered analytics. 

Built on analytics-ready data models and Oracle applications, the solutions allow financial institutions to make use of their existing data investments while adopting new analytics capabilities. 

The applications also complement existing on-premises Oracle Financial Services Analytical Applications (OFSAA) environments. Existing customers can move their analytics capabilities to the cloud while continuing to run their on-premises applications.