BOSTON–Credit unions and their management teams are among those as equally intrigued and fascinated as they are concerned and worried over what artificial intelligence might mean for their own operations and careers, and a new a new analysis offers some insights.
In the new report by GlobalData, the company notes Generative AI is revolutionizing financial services by offering personalized customer/member experiences, enhanced decision-making capabilities, and efficient automation of processes.
In addition, “by analyzing vast volumes of data, generative AI enables financial institutions to adapt to the changing conditions, and detect and prevent fraud,” the company said.
“Generative AI in financial services can be used to develop intelligent chatbots and virtual assistants that provide personalized customer support,” said Manish Dixit, Practice Head at GlobalData. “These AI-powered assistants can answer customer queries and assist with basic transactions. Leveraging large language models, they analyze financial data to offer valuable insights, personalized recommendations aligned with customer financial goals and preferences, and insightful performance comparisons.”
Identifying Anomalies
Added Mukesh Singh, senior disruptive tech analyst at GlobalData, “Generative AI can aid in identifying anomalies in financial data, which could be indicative of fraud, market manipulation, or unusual behavior. By learning the patterns from historical data, generative AI models can recognize deviations from the norm and flag potentially fraudulent or suspicious activities for further investigation. This can enhance the efficiency and accuracy of anomaly detection systems, reducing financial losses, improving security measures, and safeguarding customer assets”
According to GlobalData’s Disruptor Intelligence Center News database, Generative AI in financial services has gained “significant traction” due to its potential to transform the industry.
Solutions Make Their Debuts
GlobalData said a number of companies have introduced AI-based solutions of various types, including:
- Cyber insurance solution provider Cowbell introduced MooGPT, a solution built leveraging generative AI and its proprietary data, in April 2023. It offers brokers and policyholders a real-time conversation experience throughout the policy. It assists policyholders and brokers to get on-demand guidance on risk assessment and provides information on the claims process.
- Fintech startup Ramp launched Ramp Intelligence, a suite of OpenAI’s GPT-4 powered tools that provide vendor price intelligence, expense reports and audits, and an accounting copilot to assist companies in improving their productivity, in May 2023. Ramp Intelligence leverages GPT-4 to uncover the value of unstructured financial data siloed in receipts, text messages, and documents by scanning them.
- SymphonyAI launched Sensa Copilot, a solution that leverages generative AI for financial crime detection, in May 2023. It offers financial crime investigators an AI assistant that collects, assesses, and summarizes financial and third-party information. According to the company, Sensa Copilot can expedite financial crime investigations by up to 70%.
Lots of Promise, But…
“The incorporation of generative AI into the financial services has the potential to significantly enhance the industry,” said Singh. “However, while the possibilities are exciting, it is important to separate reality from hype. To effectively leverage generative AI, financial institutions must address challenges such as data privacy and ethics, ensure regulatory compliance, and develop robust risk management frameworks to drive innovation and deliver valuable solutions to customers.”
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