Smart Data for Finance

Financial institutions are no strangers to analytics. In fact, many data-driven analytical techniques were born in the backrooms of banks, insurance companies, credit agencies and other financial institutions that depend on data for their livelihoods. These institutions now have the opportunity to raise their efforts to the next level through the use of cuttingedge artificial intelligence technology. AI enhances existing analytics by adding new capabilities and allowing organizations to leverage analytics for real-time decision-making.

AI supports several important use cases for financial institutions, including fraud detection, market analysis, customer analysis and regulatory compliance. Firms that wish to use these capabilities effectively must transfer their unstructured data into a usable form and then leverage AI to unlock the knowledge buried within that data. Such efforts are possible only when they are built on a solid foundation of technology that includes adequate computing resources, storage that is capable of maintaining Big Data stores, analytical software that leverages AI and a robust network capable of tying these components together effectively and efficiently.

Learn more about how your financial institution can take advantage of AI solutions by checking out our White Paper, "Smart Data for Finance."