This piece was developed in partnership with BDO and Optimus SBR.

COVID-19-and the ensuing threat of economic uncertainty-has accelerated the need for financial services organizations to modernize their data analytics capabilities.

Business resiliency and risk management have become even more critical for banks, credit unions, and insurers since the crisis unfolded. Leveraging artificial intelligence (AI) and machine learning can help your organization when it comes to achieving enhanced corporate governance, managing the bottom line, and investing in strategic business growth.

The infographic below compares legacy methods and AI-based strategies across seven key areas for financial services organizations.

AI vs. legacy methods – seven areas of focus for Financial Services

By adopting artificial intelligence (AI) strategies and moving away from more traditional or legacy processes, financial institutions can be better equipped to manage periods of economic uncertainty and position themselves for growth.

Here are seven areas where AI can help financial services organizations improve their business.

How Artificial Intelligence Can Help the Financial Services Industry-ai-vs-legacy-methods

How we can help

Valani, BDO, and Optimus have come together to establish accelerators for the LDTI journey.  Our accelerators do not only meet the compliance needs of LDTI, but also advance an insurer forward in the areas of financial transformation, operations modernization, and data innovation.

Valani Global’s Services

Valani Global supports life insurance companies in achieving their financial risk management goals through implementations of Moody’s Analytics solutions including AXIS and RiskIntegrity for IFRS 17.

Nazir Valani
, President & Co-Founder