LLMs for Improved CX in Financial Services - with Mike Murchison of Ada

LLMs for Improved CX in Financial Services - with Mike Murchison of Ada

Author: Daniel Faggella July 31, 2023 Duration: 14:58

Today's guest is Mike Murchison, CEO of Ada. Ada specializes in automating communications channels to support and enhance customer experience operations for financial services firms. With Emerj Senior Editor Matthew DeMello, Mike returns to the program to talk about how automating and synchronizing employee and customer-preferred communications channels through AI tools like large language models enhances customer experiences in financial services. 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!

 


Hosted by Daniel Faggella, the AI in Financial Services Podcast cuts through the hype to explore how artificial intelligence is practically applied in banking, insurance, and investing. This isn't a theoretical discussion; it's a grounded conversation for executives and decision-makers who need to understand where real value lies. Every episode features direct interviews with those on the front lines-leaders from major global financial institutions and founders of pioneering AI companies-to dissect what actually drives return on investment. You'll hear candid stories of successful implementations, honest assessments of setbacks, and strategic insights into building a viable AI roadmap without needing a technical background yourself. The focus remains squarely on actionable intelligence: identifying tangible opportunities, formulating a coherent strategy, and ultimately delivering measurable results. By tuning into this podcast, you gain access to a clear-eyed view of an evolving landscape, learning directly from peers who are navigating the same complex challenges of integrating advanced technology into established financial systems.
Author: Language: English Episodes: 100

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