Session
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Day 1
- Keynote Presentation: Looking to the Future and Beyond: AI and ML adoption for a Home Insurance Products
• What are the most significant opportunities that AI/ML presents for insurance companies today?
• How can insurance companies effectively integrate AI/ML into their existing systems and processes?
• What role does AI/ML play in personalizing insurance products and services for individual customers?
• What ethical considerations should insurers keep in mind when deploying AI/ML technologies?
Generative AI (Gen AI) especially LLMs are giving the homeownership journey a much-needed upgrade by transforming financial guidance into a personalized, data-driven experience. Aspiring homeowners often face overwhelming financial complexities when planning for a mortgage, from understanding credit scores to managing long-term savings strategies. The challenge is to provide personalized, clear financial guidance that simplifies this process while adapting to individual circumstances. Gen AI can provide a more efficient, informed, and confident approach to homeownership by streamlining decision-making and making financial planning more accessible. In this talk we explore ways in which the current landscape of Gen AI product offerings are delivering value to end users in the home aspirant segment.
Anurag Setty - Team Leader, Data Science - Rocket Mortgage
NLP in Fintech: How Large Language Models are Transforming the future of Fintech
• Identifying how LLMs are transforming the analysis of unstructured financial data
• How LLMs are enabling the development of innovative fintech product
• Reviewing the current NLP trends and latest SOTA algorithms Overview of the latest NLP algorithms and industry use cases that are easier to solve using the open-source NLP methods
Day 2
- An overview of the AI regulatory and legal landscape affecting the Banking sector
- The importance of having an AI Governance program to manage AI-related risks
- Key components of an AI Governance program and a practical approach to assess and mitigate AI-related risks
Dan Vasquez, AI Strategy Lead, Rocket Mortgage
Transforming Transactional Enrichment with Traditional AI Models and LLM Ensemble for Enhanced Banking Insights
- The Need for Transactional Enrichment
- The End-to-End Transactional Enrichment Process
- Benefits and Impact of Transactional Enrichment
Leveraging Machine Learning to Determine Underwriting Eligibility in Property Insurance
- Exploring how machine learning algorithms can analyze vast amounts of historical
- Understanding the role of machine learning in streamlining the underwriting process by automating risk assessments and reducing manual intervention
- How machine learning models can provide real-time insights into changing risk landscapes, enabling insurers to adapt their underwriting criteria based on emerging trends and data patterns?
How can AI help Leaders Drive their Businesses Forward in the Coming Years?
- Identifying the current challenges facing by leaders, such as rising competition, security threats, and customer experience demands.
- The emergence of Artificial Intelligence as a game-changer in this environment
- Guiding leaders on evaluating their current processes to identify areas ripe for AI integration
- Encouraging leaders to embrace AI as a strategic tool for driving innovation and growth