AI/ML in revolutionizing actuarial pricing

The integration of AI and machine learning (AIML) into actuarial pricing is transforming the insurance industry. AIML technologies enable insurers to analyze vast amounts of data with unprecedented speed and accuracy, leading to more precise risk assessments and pricing strategies. By leveraging advanced algorithms and predictive analytics, insurers can identify patterns and trends that traditional methods might miss, resulting in improved profitability and customer satisfaction. Despite challenges such as data quality and regulatory compliance, the continuous advancements in AIML promise a future where actuarial pricing is more dynamic, responsive, and tailored to individual risk profiles.

Points of discussion:

1. What are the key reasons behind the shift from traditional actuarial pricing methods to AI and machine learning-based approaches in the insurance industry?

2. Can you discuss the top risks in the insurance industry today and how new data sources, like IoT devices and social media, are being leveraged by AI/ML models to better evaluate these risks?

3. What are some quantifiable advantages of using AI and machine learning in actuarial pricing? Can you provide examples or case studies where these technologies have led to significant improvements?

Speaker Bio: Suguna Jayaraj, who is the Director of Pricing at MIC Global. Suguna is a passionate data science leader with a 15+ years of experience in insurance and banking industry. Before MIC Global, she lead analytics for Swiss Re Reinsurance solutions and ran the model development team of data scientists, data engineers, actuaries, geospatial scientists etc. in Bangalore. Prior to Swiss Re, she enabled marketing, product & claims team to realize the potential of advance analytics by increasing the top-line and the bottom line at AIG. Besides, she worked in multiple roles involving underwriting, capital modelling and wholesale banking in the BFSI space with HSBC and American Express. In addition, she has helped scale consulting start-ups and owned an e-commerce start up for a short stint. She was honoured as ’40 under 40 Data Scientists’ by Analytics India Magazine in 2021. She has co-authored two research papers in the insurance industry “ML based Geo-score to improve auto insurance pricing & Crime score for liability pricing”.