AI in Financial Services Podcast

Today’s guest is Sophia Qureshi, VP of Product Management for Fraud Solutions at Provenir. Provenir is a fintech company whose AI decisioning platform helps clients manage credit risk, prevent fraud, and stay compliant across the customer lifecycle. Sophia joins the podcast to discuss the evolving threat landscape and how AI is changing the balance of power. Later, she explains the ways fraud detection has traditionally relied on deterministic technologies like anomaly detection and how the rise of generative AI has enabled more sophisticated fraud tactics, from deepfake identity forgeries to large-scale phishing campaigns. 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!

What does it take to build truly intelligent customer experiences at enterprise scale? In this episode of the AI in Business podcast, Shardul Vikram, Chief Product Officer of SAP Application AI, returns to explore the critical role of generative AI in transforming CX across industries. From telecom to healthcare, Shardul breaks down how leading firms are aligning data strategy, automation, and personalization to drive measurable impact in both B2C and B2B environments. Shardul outlines SAP’s vision for “intelligent CX” — where AI doesn’t just automate tasks but bridges the gap between front-line support and back-office execution. Throughout the episode, he underscores how tools like SAP’s CX AI Toolkit and GenAI copilot (Juul) are helping service agents anticipate customer needs, detect anomalies in real-time, and reduce wait times without sacrificing trust or compliance. Want to share your AI adoption story with executive peers? Click emerj.com/e2 for more information and to be a potential future guest on Emerj’s flagship’ AI in Business’ podcast! 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 Traci Mabrey, General Manager, Factiva at Dow Jones. In this episode, Traci joins Emerj Editorial Director Matthew DeMello to discuss how AI is accelerating research, improving personalization, and reinforcing the role of human expertise in high-stakes decision-making. The conversation explores the growing demand for structured, trustworthy insights across finance, compliance, and global markets — highlighting where automation helps and where human judgment remains essential. For business and data leaders, the episode offers a grounded perspective on how to navigate the balance between speed, scale, and accuracy in today’s information landscape. Want to share your AI adoption story with executive peers? Click emerj.com/e2 for more information and to be a potential future guest on Emerj’s flagship’ AI in Business’ podcast! 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!

In this conversation with Traci Mabrey, General Manager at Dow Jones' Factiva, listeners dive into the fusion of AI and business intelligence. Traci discusses how Factiva enhances decision-making by combining AI with editorial oversight, ensuring accurate and timely information in today's complex markets. She also emphasizes the importance of ethical content licensing and maintaining transparency in AI-generated outputs. The dialogue touches on trust in journalism and the evolving landscape of information sharing, making it a must-listen for industry leaders.

Jim Palmer, Chief AI Officer at Dialpad, returns to the ‘AI in Financial Services’ podcast to discuss the next evolution in enterprise AI: agentic systems. These autonomous tools promise dramatic changes to how work is done, but only if grounded in real-world applications and use cases. Throughout the episode, Jim outlines how domain-specific data, rigorous back-office testing, and a layered trust framework help organizations move beyond hype cycles. Rather than focusing on full automation, he emphasizes augmentation, enabling human agents with AI-driven coaching, automated assistance, and context-aware insights. Click emerj.com/e2 for more information and to be a potential future guest on Emerj’s flagship ‘AI in Business’ podcast!

Today’s guest is Jim Palmer, Chief AI Officer at Dialpad. Dialpad is an AI-powered communication platform offering unified calling, messaging, video conferencing, and customer support. It helps businesses improve team collaboration and productivity through scalable, efficient communication solutions. In this episode, Jim Palmer joins Emerj Managing Editor Matthew DeMello on the show today to discuss the evolution of AI in customer experience. With over 10 years of experience in AI solutions, Jim shares valuable insights into the challenges and opportunities businesses face in implementing human-centric AI. From overcoming disparate systems to measuring AI’s ROI, they dive deep into the practical aspects of AI integration and its impact on customer satisfaction. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Jessica Saperstein, Former CXO and CMO, Strategic Advisor, and Corporate Board Member at Church Mutual. Church Mutual is a leading provider of specialized insurance solutions for religious organizations, educational institutions, senior living communities, and nonprofit organizations. Jessica joins us on today’s program to explore the intersection of CX, digital transformation, and data-driven decision-making. With a career spanning financial services, pharmaceuticals, and travel, she brings a cross-industry perspective on customer-centric innovation. 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 Arpit Sarin, Vice President of Digital at Regions Bank. Arpit joins us to share insights into the evolving role of AI and data in financial services. Our discussion covers the challenges banks face in adopting AI-driven solutions and scaling them across diverse customer bases and how AI is transforming personalization, customer engagement, and financial advisory services. Arpit provides a deep dive into the intersection of AI, security, and customer-centric innovation, offering practical advice for financial leaders navigating digital transformation. 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 Sophia Qureshi, VP of Product Management for Fraud Solutions at Provenir. Provenir is a fintech company whose AI decisioning platform helps clients manage credit risk, prevent fraud, and stay compliant across the customer lifecycle. Sophia joins the podcast to discuss the evolving threat landscape and how AI is changing the balance of power. Later, she explains how fraud detection has traditionally relied on deterministic technologies like anomaly detection and how the rise of generative AI has enabled more sophisticated fraud tactics, from deepfake identity forgeries to large-scale phishing campaigns. 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 Matt Marolda, Chief Innovation Officer at Acrisure. Acrisure is a global insurance broker and fintech financial services provider. Matt returns to the program this week to explore the impact of AI on industry practices, from streamlining workflows to automating customer interactions and enhancing decision-making with predictive analytics. Our discussion examines how AI can process data more efficiently, identifying patterns in customer behavior and refining risk assessments. 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!