Recognition in the Digital Banking Solutions category reinforces nCino’s reputation as a company that has an innovative impact on financial services globally

As we continue to witness the exponential rise of Artificial Intelligence (AI) in the financial services industry, it's crucial to understand the inner workings of the models driving these intelligent systems.

Company's Gen AI tool, powered by nCino IQ (nIQ), delivers real-time intelligence and optimizes decision-making with data-driven insights for financial institutions across asset sizes and geographies Participants of Banking Advisor’s closed beta testing Product Design Program finding efficiency gains through employee time savings and proactive portfolio management

nSight 2024, nCino’s annual conference, was held May 14 – 16 in Charlotte, NC.

In the rapidly evolving lending landscape, caused in part by the bank failures of 2023, credit portfolios are facing significant stress and heightened challenges, including rising default rates, fluctuating interest rates, and economic uncertainty. Coupled with strict regulatory demands for risk differentiation and portfolio diversification, these pressures are exposing the limitations of current credit portfolio monitoring processes, which are often static, reactive and subjective. The Australian CRE market has seen an 8.5% decline in capital growth with the office sector being a major contributor to this decline due to its cumulative loss of 22%­­. As a result, financial institution (FI) leaders are rethinking their credit portfolio management practices.

Opening a commercial bank account is a significant decision for any business. All businesses are unique entities with operational requirements, product needs, and shareholder arrangements, and the choice of a bank as a business partner is often a relationship-driven decision.

nCino’s Continuous Credit Monitoring Solution will help assess credit risks and monitor loan performance 

Artificial Intelligence (AI), particularly Generative AI (Gen AI), has transformed industries in significant ways, and financial services is no exception.Today, financial institutions (FIs) grapple with a myriad of challenges. These include time-consuming loan processing, disparate data sources, resource-intensive loan origination processes, and the overwhelming task of interpreting large sets of data.At the same time, AI is unlocking new value streams for FIs, especially in the areas of efficiency and productivity, deal pricing and profitability optimization, credit risk management, compliance, and customer experience.