
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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Thought Leadership
With market forces already in motion, 2026's real differentiator will be the technology trends financial institutions choose to act on—and how fast they move.
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In the evolving landscape of commercial banking, merging traditional services with modern technology is essential.
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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.
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We're excited to launch our new Substack blog, where technical experts share what we’re building, learning, and solving in cloud banking technology.
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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.
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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.
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As the financial services industry continues to evolve, efficiency has become a top priority. In order to maximize efficiency, stay competitive, and unlock new value streams, financial institutions (FIs) are leveraging the power of artificial intelligence (AI) throughout their business processes.
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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.
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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.
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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.
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