AI at Scale: Key Learnings on Risk, Data and Governance
For risk, data and technology leaders in financial services and beyond, the challenges surrounding data quality and governance have never been more critical. This webinar will delve into the key findings from recent Risk.net research programme exploring how firms can overcome the challenges and risks to harness AI effectively.
Join us as we discuss the essential role that robust data management and governance frameworks play in ensuring successful AI implementation. Our expert panel will provide insights into best practices and strategies for addressing data quality issues, building robust governance frameworks, and fostering a culture of AI innovation.
Key questions we will cover:
- Evolving AI use cases: While operational efficiency and customer engagement are priorities, some firms are eyeing more ambitious initiatives. How do you develop a surefire AI strategy?
- Data quality challenges: AI models are only as good as the data that feeds them. How are FS firms building the foundations of AI data quality? Where should that data come from and can it be trusted?
- Governance frameworks: Robust AI governance structures are essential to the ethical and compliant use of AI technologies. But how do you streamline the process? And what does good look like?
The webinar will be essential viewing for risk, data and technology leaders in capital markets looking to take their AI programmes to the next level.
Don’t miss this opportunity to engage with industry leaders and gain valuable insights into optimising AI data quality and governance for competitive advantage.
Speakers:
Hamza Malik, CRO, Conning
Shehryar Humayun, Audit Director – Models, Data & AI, Lloyds Banking Group
Kim Alderman, Director, AI Innovation Lab, Riskonnect Inc
Phil Harding, Commercial editor, Risk.net (Moderator)
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