Upcoming Webinar: Potential and pitfalls of large language models and generative AI apps7 November 2023
Date: 7 November 2023
Time: 10:00am ET / 3:00pm London / 4:00pm CET
Duration: 50 minutes
Large language models (LLMs) and Generative AI applications are a hot topic in financial services, with vendors offering solutions, financial institutions adopting the technologies, and sceptics questioning their outcomes. That said, they are here to stay, and it may be that early adopters of Generative AI apps could gain not only operational benefits, but also competitive advantage.
This webinar will assess the uptake of LLMs and Generative AI applications by financial services participants, and discuss their use cases, such as fraud detection and data management at scale, as well as their potential and inherent problems. It will also provide practical guidance on whether to build or buy generative AI apps, how to develop successful solutions, and required skills and resources. Finally, the webinar will review ‘where next’ for these technologies in financial services.
Register for the webinar to find out about:
- State of play on large language models and generative AI
- Adoption and use cases across financial services
- Practical guidance on how to create generative AI apps
- Benefits and limitations of these technologies
- Where next for large language models and generative AI
More about our speakers:
Director of Data Science & AI
Houssem Chatbri leads a team of data scientists across global locations (Dublin, NYC, London, Pune) in close collaboration with the business to develop AI/ML models that focus on creating revenue growth opportunities, improving the client experience, increasing operational efficiency and ensuring regulatory compliance. Prior to his work in BNY Mellon, Houssem worked as a Postdoctoral Researcher and IRC Fellow at the Insight Centre for Data Analytics at DCU. Then, he moved to the industry and took different roles in areas including computer vision for various applications (e.g. security, video moderation), healthcare and health insurance, document digitalisation and understanding, and other areas of pattern recognition, image and video analytics. Houssem holds a PhD in computer science from the University of Tsukuba in Japan in 2016, and he was a visiting scientist to Rochester Institute of Technology (RIT) in New York US and to University of New England in Australia during 2014 and 2015.
Principal Regulatory Advisor
Shaun Hurst is Smarsh’s Principal Regulatory Advisor. With over 20 years of experience in solving intricate IT issues for Financial Services Institutions, he is a specialist in Regulatory Requirements, Data Privacy, eDiscovery, Compliance, and Cloud Computing. Shaun’s 15-year tenure at one of the largest American banks gives him unparalleled insight into the challenges our customers encounter.
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