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AI, Data and Automation
Questions put to our expert panellists include:
- How can AI, data, and automation improve efficiency and accuracy in insurance?
- What are the potential risks of using AI and machine learning in insurance, and how can companies balance these with the benefits?
- What are the potential risks of using AI and machine learning in insurance, and how can companies balance these with the benefits?
- How can AI and machine learning be used to streamline the underwriting process and provide more accurate risk assessments?
- How can AI and machine learning be used to detect and prevent fraud in insurance claims?
- How can insurance companies make sure that their AI models are transparent, explainable, and bias-free?
- How can insurance companies prepare for the future of the industry with the integration of AI and machine learning?
Upcoming Webinars
HR, Culture and the Future of Work
Exploring the Future of Work and Developing a Digital Culture in Financial Services
1000 - 1045 BST   |   Wednesday 7th June
Engineering & Product Development
Insurance 2.0: Innovations in Product Development and Business Models for a Digital Age
Coming Soon...
Open and Embedded Insurance
Embedded Insurance: The Future of Insurtech
Coming Soon...