Most financial services organizations foresee a competitive advantage from using Generative AI for more creative and strategic tasks than its early use cases. But scaling up their use of the technology also exposes them to greater risks, from data privacy and ethical issues to misinformation. Howie Epstein, Director of Product Management at LexisNexis, will outline four steps firms should take to overcome these challenges and make Generative AI’s outputs more accurate, relevant and trustworthy.
Archives: Agenda
LUNCH
Accessing The New AI Superforce (Interactive)
Can you transform capabilities to par with human cognition?
Accelerate your artificial intelligence to super intelligence to have open-ended abilities to learn, adapt and deliver. Demos, case studies and sneak peaks to alter your performance.
Straive
Turning Open Banking Data into Underwriting, Retail, and Market Insights
- Enhancing underwriting models with behavioral insights from Open Banking data
- Identifying customer needs, demographics, and spending trends for tailored product strategies
- Leveraging Open Banking and AI to refine retail marketing and customer segmentation
- Building stronger customer connections and opening new industry opportunities through AI-driven insights
5 Things FS Leaders Should Know About AI in Customer Experience
- How to embed AI into your existing CX stack without disruption
- Real-world FS proof points: Rabobank and beyond
- The Assist → Hybrid → Agentic roadmap explained simply
- Building trust: governance, compliance, and security at scale
- Actions to accelerate adoption and show ROI in 90 days
Networking Break
Strategising data-led financial crime and fraud prevention
- Exploring commonalities across financial crime and fraud detection and prevention and how financial services can adapt their strategies
- Leveraging data and AI for a holistic financial crime and fraud risk assessment
- Integrating AI into financial crime system capabilities to improve effectiveness
- Monitoring evolving business financial crime and fraud risks
Backbone of AI Applications – Real time AI Serving platform
- What is search and ranking?
- Tensor operations meaning
- Demos
The Status of AI in the Insurance Industry: What Is Happening Now?
- How can AI play a part in claims processing and enhance CX via chatbots and digital platforms?
- Key challenges in underwriting and claims handling
- The Big 3: Silos, biases and hallucinations
- What frameworks does Insurance need to digitally develop?Yanna Winter