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Transforming CX in financial services with generative AI

Presented by

Henry Vaage Iversen, Ben Maxim, Ami Iceman-Haueter

About this talk

Large Language Models (LLMs) and Generative AI are poised to revolutionize customer service in the Financial Services sector. Yet, implementing these new technologies requires careful consideration to manage risks, ensure security, and maintain brand integrity. Join us in this webinar to learn how to leverage these benefits in a risk-free, privacy-compliant manner that guarantees a positive impact on customer experience (CX). Discover the transformative potential of LLMs and Conversational AI for your customer service operations. Experts from boost.ai will guide you through practical solutions to key questions, such as ensuring accurate customer interactions, maintaining compliance with security and data protection regulations, and implementing these technologies without adding complexity to your projects. Join experts from boost.ai and MSU Federal Credit Union for this on-demand session to gain insights directly from experienced leaders in LLMs and financial institutions. Key Takeaways: - Discover a proven roadmap for harnessing the power of LLMs and Generative AI in your customer service organization. - Hear firsthand from a leading financial institution about driving successful projects and achieving immediate results with these technologies. - Get concrete, actionable answers to your pressing questions and concerns about implementing LLMs - Understand the potential risks and challenges of Generative AI, and learn strategies to mitigate them.
Boost.ai - Conversational AI

Boost.ai - Conversational AI

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Conversational AI Platform for Enterprise
Boost.ai specializes in enterprise-grade conversational artificial intelligence (AI). Inventor of the world’s most scalable conversational AI platform, boost.ai empowers enterprises to automate customer service and internal support channels, enhance human efficiency and drive revenue with proprietary self-learning AI and a no-code solution that’s quick to deploy, easy to learn and highly scalable. Able to handle unlimited intents while consistently maintaining resolution rates of above 90 percent, virtual agents developed on boost.ai’s platform are used by companies like Telenor, DNB, Tryg, and MSUFCU to successfully automate thousands of interactions daily. Boost.ai is headquartered in Stavanger, Norway, with offices in Boston, Oslo, London and Stockholm and Copenhagen.
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