In this episode, the host interviews Ron Shevlin about generative AI in financial services. They discuss the potential and limitations of generative AI, its various applications in the industry, addressing bias and fairness, and the role it plays in enhancing productivity and creativity. They also provide insights on navigating the challenges of adopting generative AI and emphasize the significance of data utilization.
Financial institutions need to explore the applications of generative AI and navigate practical realities and limitations.
Generative AI can enhance productivity and problem-solving across various departments in financial institutions, such as product redesign, HR recruitment, and proactive chat bots.
Deep dives
The Potential of Gender of AI in Financial Services
In this podcast episode, Ron Sheblatt, Chief Research Officer at Cornerstone Advisors, discusses the potential of gender of AI in financial services. He emphasizes the need for financial institutions to explore the various applications and use cases for generative AI. He highlights that while there is hype surrounding the technology, it is important to navigate through the nuances and understand the practical implications and limitations. Ron also touches on the competitive and regulatory landscape, urging financial leaders to prepare for an AI-powered future by focusing on productivity improvement and creativity enhancement. He emphasizes the importance of responsible deployment of AI solutions in banking.
Understanding Generative AI and Large Language Models
Ron Sheblatt provides insights into generative AI and its differences from other AI technologies. He explains that generative AI refers to AI technology that generates various types of output such as text, music, code, and synthetic data. He discusses chat GPT as one example of generative AI, which primarily produces text and integrates with other tools to generate music, code, art, and synthetic data. Ron also mentions other large language models available in the market and how they are being incorporated into financial institutions' processes and workflows.
Promising Applications of Generative AI
Ron Sheblatt discusses some of the promising applications of generative AI in financial institutions. He highlights examples such as the redesign of product pages using chat GPT and plug-in tools, HR using AI tools for recruitment and proactive chat bots, and the autonomous execution of marketing campaigns. Ron also emphasizes that generative AI can enhance productivity and problem-solving for knowledge workers across various departments in financial institutions. He shares examples of productivity improvements and cost reduction achieved through the use of generative AI.
Preparing for the Future of Generative AI in Financial Services
Ron Sheblatt provides insights into the future of generative AI in the financial services industry. He emphasizes that generative AI is an evolutionary technology building on years of progress in AI. Ron argues that it will enhance productivity and creativity, rather than replacing jobs. He advises financial leaders to understand the opportunities and priorities for using generative AI in their organizations. Ron also highlights the importance of governance policies, data usage, and balancing the adoption of generative AI with cautious deployment strategies.
In this episode of Banking Transformed, we delve into the world of generative AI with Ron Shevlin, Chief Research Officer at Cornerstone Advisors.
As data continues to be the foundation of AI applications, we explore the potential of generative AI in financial services, as well as the practical realities and limitations financial institutions need to consider. Moreover, we touch on the competitive and regulatory landscape and how financial leaders can navigate it when adopting generative AI solutions.
In the crystal ball segment of our discussion, Ron shares his vision for the future of generative AI in the financial sector and provides valuable insights into what financial leaders must be doing today to prepare for the AI-powered tomorrow.
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