Join us at the exclusive GenAI Banking Connect to delve into the innovative uses of GenAI and synthetic data in transforming decision-making processes for consumer risk and fraud detection.
Hear from leading industry experts and customer speakers as they discuss the transformative potential of synthetic data in the banking sector. Learn about responsible GenAI adoption strategies that can propel innovation, enhance risk mitigation, and reduce fraud.
Why You Should Attend:
- Expert Insights: Gain invaluable insights from top industry leaders.
- Future Trends: Understand the evolving landscape of GenAI in credit risk and fraud decisioning.
- Networking Opportunities: Connect with peers and thought leaders in the banking industry.
Don’t miss this opportunity! Confirm your attendance by registering below, and we look forward to welcoming you.
Sessions
- 10.00am – 11.00am:
Registration, Tea, Coffee & Pastries
- 11.00am – 11.15am:
Welcome & Introductions
Dr lain Brown, Head of AI & Data Science, SAS
- 11.15am – 12noon:
Keynote: Using Synthetic Data in Banking
Matt Lowe, Innovation Lab Manager, Financial Conduct Authority (FCA)
- 12noon – 12.30pm:
Revolutionising Risk Analytics with Generative AI & Synthetic Data
In this presentation we explore the transformative potential of Generative Adversarial Networks (GANs) and synthetic data in revolutionising risk analytics. This collaboration uses GANs to enhance personal loan model accuracy by augmenting default cases with synthetic data. We detail how these technologies boost model performance through a case study comparing outcomes with and without synthetic data, highlighting realistic improvements in risk analytics.
Discover the future of risk with generative AI.
Dr lain Brown, Head of AI & Data Science, SAS
- 12.30 – 1.30pm:
Networking Lunch
- 1.30pm – 2.15pm:
Panel: GenAI: Revolutionizing Decision-Making in Credit Risk and Fraud
Explore the transformative potential of GenAI in revolutionizing decision-making across credit risk and fraud sectors. This panel will delve into the complexities introduced by data limitations, legacy systems, cultural barriers, and system integration challenges.
Discussion Points:
· Defining a forward-thinking GenAI strategy for 2025 and beyond.
· Benefits and mechanics of automated decision-making.
· Strategies to convert data into actionable decisions.
Moderator: Paul Ridge, Director of Solutions, SAS
Panellists:
Kyle Roberts, Executive Director, Chase UK
Sunil Adlakha, Managing Director, Accenture
Matt Lowe, Innovation Lab Manager, Financial Conduct Authority (FCA)
- 2.20pm – 3.05pm
Panel: Trustworthy AI: Balancing Opportunity and Risk with GenAI
This session addresses the dual-edged nature of GenAI, presenting both opportunities and risks. It will highlight how GenAI can enhance customer experiences and combat fraud, while also considering the ethical implications and the importance of building trust in AI applications.
Discussion Points:
· Identifying and leveraging opportunities that GenAI presents.
· Overcoming challenges and ethical considerations in GenAI deployment.
· The role of trustworthy AI in ensuring responsible and effective use of technology.
Moderator: Muzammil Shabudin, Head of Risk Advisory - UKI , SAS
Panellists:
Ashish Sarkar, Partner, KPMG
Dr Iain Brown, Head of AI & Data Science, SAS
- 3.05pm – 3.15pm:
Afternoon Break
- 3.15pm – 3.45pm:
Introducing SAS Data Maker: Revolutionizing Banking with Synthetic Data
Discover SAS Data Maker, SAS’s cutting-edge tool that transforms banking analytics through high-quality synthetic data generation.
This session highlights how SAS Data Maker ensures enhanced data privacy and superior predictive analytics, all while adhering to stringent data regulations. Learn about its practical applications, and see how it sets new standards in data privacy and decision-making efficiency in the banking sector.
Kyriakos Fistos, Data Scientist, SAS
- 3.50pm – 4pm:
Closing Remarks
Dr Iain Brown, Head of AI & Data Science, SAS
- 4pm – 6.30pm:
Networking Drinks & Nibbles
Speakers
Dr. Iain Brown, Head of Data Science, SAS
Dr. Iain Brown is the Head of Data Science for Northern Europe and an Adjunct Professor of Marketing Data Science at the University of Southampton, renowned for his extensive expertise in AI and machine learning across various sectors. He is the author of "Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers," which consolidates his deep knowledge in leveraging data science for marketing effectiveness. An accomplished speaker and leader, Dr. Brown continues to shape the future of data-driven strategies and innovation in data science education and application.
Kyriakos Fistos, Data Scientist, SAS
Kyriakos Fistos works as a Data Scientist for SAS UK&I and he has been involved in numerous projects around the development and implementation of Machine Learning techniques and Artificial Intelligence applications. He holds a bachelor’s degree in Mathematics and a master’s degree in Operational Research, Applied Statistics and Financial Risk from Cardiff University.