AI in Financial Services Podcast

Today’s guest is David Thompson, Chief Technology Officer at American Express Global Business Travel. American Express Global Business Travel – better known as Amex GBT and officially known as Global Business Travel Group, Inc. – is a multinational travel management company based in New York City. Employing 18,000 people across over 140 countries, Amex GBT operates independently from American Express, which maintains a minority interest in the company. David returns to the platform to discuss the complexities and opportunities of deploying AI in B2B workflows and industries. As AI becomes a cornerstone of digital transformation, B2B companies are navigating unique challenges in integrating these technologies into their products and services while maintaining high standards of security and compliance. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

Today's guest is Swami Jayaraman, Senior Vice President and Chief Enterprise Architect at Iron Mountain. Iron Mountain is a publicly traded global leader in storage and information management services trusted by over 240,000 organizations worldwide, including 90% of the Fortune 1000 for over 70 years. Swami returns to the program to talk about use cases in risk management, cybersecurity, and customer experience in financial services spaces – and what they can tell financial leaders about the concrete abilities of AI to unlock efficiencies in these areas. Together with Emerj Senior Editor Matthew DeMello, Swami overviews how AI can analyze ID documents, monitor loan agreements, and automate regulatory reporting. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Swami Jayaraman, Senior Vice President and Chief Enterprise Architect at Iron Mountain. Iron Mountain is a publicly traded global leader in storage and information management services trusted by over 240,000 organizations worldwide, including 90% of the Fortune 1000. Swami joins us on today's show to talk about risk management challenges in financial services, including cybersecurity, regulatory compliance, people and culture, technology adoption, and data management. Later, we explore AI's impact on customer experience and compliance workflows in ways that are helping financial leaders surmount these challenges. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is German Soto-Sanchez, Chief Product and Strategy Officer at Broadridge Financial Solutions. Broadridge is an S&P 500 global fintech leader with $6 billion in revenue and ranked #3 in the 2023 IDC FinTech Rankings Top 100. The firm manages trades, supporting communications reaching 75% of North American households and shareholder voting in 120 countries. German returns to the program today to offer advice for financial leaders on driving digital transformation at their organizations. His appearance emphasizes the importance of understanding AI technology before implementing it in an enterprise-wide program. He argues that experimenting with blockchain technology allows financial leaders to gain hands-on experience and constructive conversations within the ecosystem. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is German Soto-Sanchez, Chief Product and Strategy Officer at Broadridge Financial Solutions. Broadridge is an S&P 500 global fintech leader with $6 billion in revenue and ranked #3 in the 2023 IDC FinTech Rankings Top 100. The firm manages trades, supporting communications reaching 75% of North American households and shareholder voting in 120 countries. German joins us on the program today to discuss how AI can help drive strategy for financial services organizations in light of evolving customer expectations. Throughout the episode, German cites examples of untapped data and opportunities for efficiency gains, emphasizing the importance of documenting legacy systems and technologies to ensure continuity and modernization. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Prasanna Dhore, Chief Data Officer at Fiserv and President of Data Commerce Solutions. Prasanna returns to the Emerj podcast platform, following his appearance earlier this month on the ‘AI in Business’ podcast, to talk about findings from the latest edition of Fiserv’s Small Business Index, derived from point-of-sale transaction data across approximately 2 million U.S. small businesses, providing a direct measure of consumer spending and business performance. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

Today’s guest is Craig Mackereth, Executive Vice President of Global Service Delivery at Rimini Street. Rimini Street is a publicly traded company specializing in third-party support for mission-critical systems at financial services organizations and beyond. Craig returns to the program today to discuss the best strategies for driving AI and ML investments across the financial services enterprise. Throughout the episode, Craig points to significant use cases that demonstrate the unique differences between deterministic and generative AI capabilities, the business problems they solve for financial leaders, and the infrastructure needed to ensure ROI. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Manish Goyal, Operating Partner at Berkshire Partners. Berkshire Partners is a Boston-based private equity firm with substantial experience and investments in consumer products and retail, business services, communications, industrials, and healthcare sectors. Manish returns to the show today to tell us what AI is looking like from the portfolio perspective. Armed with insights from across Berkshire’s austere roster, Manish details how industries across the global economy are seeing AI adoption in productivity and efficiency, with a 20-30% code generation increase and improved customer service. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Andrew Beddoes, Business Consultant at Provenir. Provenir is a software company that develops an AI-powered credit risk decisioning platform. Andrew joins us on today’s show to talk about leveraging data and generative AI to find insights into consumer behavior data surrounding collections workflows. Throughout the episode, Andrew cites use cases that exemplify how mining such data results in better consumer relationships and more reliable revenue streams. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Andrew Beddoes, Business Consultant at Provenir. Provenir is a software company that develops an AI-powered credit risk decisioning platform. Andrew joins us on today’s show to talk about AI’s impact on collections workflows from the perspective of auto loans. Throughout the episode, Andrew emphasizes the importance of using data and technology to improve customer experiences and drive empathy among loan collectors. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!