Today’s guest is Eyal Raab, Vice President of Business Development and Sales for Riskified, a publicly traded Saas company that specializes in fraud and chargeback prevention. In conversation with Emerj Senior Editor Matt DeMello, Eyal talks about the impact of AI in preventing forms of eCommerce fraud, including using merchant goodwill policies against them, such as empty box fraud. Because of the multiple layers and players in eCommerce, many of these applications bear a striking resemblance to others in KYC compliance in financial services and predictive maintenance for manufacturing. This episode is sponsored by Riskified. Learn more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today’s guest is Conversica Chief Marketing Officer David Greenberg. Together with Emerj Senior Editor Matthew DeMello, David explores the biggest challenges for sales and marketing teams trying to turn leads into opportunities. Later, they examine where data is making a difference in solving those challenges in helping enterprises grow their outbound in a manageable way that insulates themselves from the friction of high SDR turnover. 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 John Bohannon, Senior Director of Data Science and Director of Science at Primer.ai. Primer is a security AI platform serving Fortune 500 companies and multiple defense agencies in the US federal government. Together with Emerj CEO and Head of Research, Daniel Faggella, John pulls apart what makes the Ukraine war truly unique in the scope of both history and technology – and how AI is playing an integral role in the conflict for both sides. This episode is sponsored by Primer. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Gero Gunkel, Chief Operating Officer and Data Science Leader for Zurich Insurance. In conversation with Emerj Senior Editor Matthew DeMello, Gero expounds on the increasing impact of large language models on the insurance space driven by the growing size of these models, allowing them to tackle more complex problems for more complex sectors. Later, they touch on the impact of ChatGPT and best practices for insurance firms just starting to use large language models. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

Today’s guest is Eigen Technologies CEO Lewis Liu. Eigen is an intelligent document processing platform specializing in helping organizations transform documents into any form of data. In conversation with Emerj Senior Editor Matthew DeMello, Lewis talks about the challenges of legacy systems in financial services and intelligent document processing as a means of unlocking the information inside. Throughout the conversation, they differentiate the technologies involved from existing hype around LLMs and give a sober analysis of their exact capabilities and incapabilities. This episode is sponsored by Eigen Technologies. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Scott Zoldi, Chief Analytics Officer of FICO. In conversation with Emerj Senior Editor Matthew DeMello, Scott helps dissect somewhat troublesome findings from FICO's recent survey on responsible AI in financial services. Later, they discuss ways that business leaders can close the gap in AI understanding and education often felt between organizations and their boards. 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 Carm Taglienti, Distinguished Engineer and Product Portfolio Director for Insight, a leading IT solutions provider specializing in streamlining enterprise data infrastructure. He joins us on the podcast today to talk about some of the challenges organizations face both in laying the groundwork for AI transformation from scratch and developing existing systems in a way that avoids technical debt. This episode is sponsored by Insight. Learn more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today’s guest is Aamar Hussain, Director of Data & AI Customer Solution Architecture for Azure at Microsoft. Aamar also has experience at Google and helping transform businesses through customer experience. He joins Emerj Senior Editor Matthew DeMello today in fielding questions about what do – particularly financial services organizations – wish they had known at the initial, or “foundational” phase of a customer experience transformation through data. Later, they discuss potential criteria for determining whether an organization should seek a vendor or develop data capabilities in-house. 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 Ylan Kazi, Chief Data Officer at Blue Cross Blue Shield. He joins us in the first of two episodes to discuss AI’s strides in diagnostics over the years, primarily driven by visual data in radiology and elsewhere. But this is not to discount where we find compelling use cases in text and language data – especially with how the healthcare space has reacted to the emergence of Chat-GPT and large language models. To discover critical AI applications and trends, download our whitepaper “3 Ways to Discover AI Trends” at emerj.com/t3.

Today's guests are WorkFusion VP, Head of AI Paul Tepper, and VP of Product Management Tina Chace. WorkFusion is a software company with over $340 million in funding that blends RPA and AI – a process often called intelligent automation – to help businesses digitize their operations. In conversation with Emerj Senior Editor Matthew DeMello, Paul, and Tina differentiates intelligent automation from RPA and explain why compliance and financial crime are particularly well suited for intelligent automation as a solution. 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!