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The top lending & credit risk blogs of the year

Abrigo

Read this blog for construction delinquency statistics that can help your financial institution better plan and manage their construction loan portfolios. Read this blog for five reports that can increase your efficiency and profitability. But the benefits of automation are a key part of the customer experience.

Lending 221
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OCC Considers Artificial Intelligence an Emerging Risk in Banking

Perficient

Positive Aspects of AI in Financial Services As noted by the OCC, advances in computing capacity, increased data availability, and improvements in analytical techniques, have significantly expanded opportunities for banks to leverage AI for risk management and operational purposes.

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Bank Regulators Seeking Comments on the Use of AI and ML in the Industry

Perficient

Personalization of Customer Services. AI technologies, such as voice recognition and natural language processing (NLP), are being used to improve customer experience and to gain operational efficiencies. Risk Management. AI may be used to augment risk management and control practices. Cybersecurity.

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Nearly 100% of FIs plan to use gen AI

BankInovation

Generative AI utilization is a table stake for financial services industry leaders looking to improve customer experience, internal processes and risk management. 11 report by consulting giant EY, 99% of financial services industry leaders have deployed AI and are planning to use the tech across their operations.

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An Introduction: Generative AI Use Cases for the Financial Services Industry

Perficient

Generative AI ingests data and understands guidelines incredibly well; therefore, businesses across industries are jumping to take advantage of all the possible ways the tool can help save them money and create elevated, uber-personalized customer experiences.

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4 Boosted Business Outcomes for Utilities Fueled by Oracle Cloud

Perficient

For this data to prove value, Utilitiy’s customers need analytics, dashboards, and reporting to consolidate information and highlight important analytics. There is a strong need to be agile and scale quickly to better serve customers and employees with innovation.

Analytics 340
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AI and generative AI use cases in banking: 6 real-world examples

Abrigo

Seeing generative AI use cases can help bankers, risk managers, and financial crime professionals better understand it. They can more easily consider how to harness genAI's power to enhance their operations, compliance, risk management, and member or customer experience.

Examples 221