Commercial Deposit Strategies for the Digital Age
In the evolving landscape of commercial banking, merging traditional services with modern technology is essential.
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Read MoreIn the evolving landscape of commercial banking, merging traditional services with modern technology is essential.
The consumer lending market has seen monumental shifts over the last decade. From the rise of fintechs to new regulatory measures, these changes have reshaped how we borrow and lend. Understanding and responding to trends in the market is crucial for financial institutions of all sizes.
Guaranteed Rate, one of the US’s largest retail mortgage lenders, has been helping homeowners with purchase loans and refinances for more than 20 years. With headquarters in Chicago, Guaranteed Rate has more than 10,000 employees nationwide across 850 office locations.
The rise of artificial intelligence (AI) is transforming how financial institutions (FIs) approach traditional banking processes, but not all FIs are prepared to take advantage of this game-changing technology. Leveraging AI is not a one-off task, but a continuous cycle of assessing, enhancing, and improving data quality for an effective strategy. For this reason, the journey AI optimization can seem daunting.
The mortgage industry has seen some significant changes in recent years with the introduction of digital technology solutions. Organizations are increasingly turning to technology for avenues of competitive advantage, leading many companies into a state of flux as they adjust their business model and digital mortgage strategies to create and maintain profitability with long-term success.
In Australia’s ever-evolving financial landscape, customer-owned banks are embracing technology to redefine their business operations and enhance customer experiences. Summerland Bank and P&N Group are two banks leading this charge, partnering with nCino to drive digital transformation, streamline operations, and enhance customer service.
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. As a result, financial institution (FI) leaders are rethinking their credit portfolio management practices.
Headquartered in Quebec, Canada, Desjardins Group is the largest cooperative financial group in North America. Desjardins currently provides a full range of financial and insurance services to 7.7 million members and clients.
Artificial intelligence (AI) and machine learning (ML) are transforming how financial institutions approach credit decisions and traditional banking processes. By incorporating AI into the credit decisioning process, financial institutions can help create a more inclusive, intuitive, and impactful financial services landscape.