Deep Learning in Insurance: The Path to Adoption
Emerging technologies are enabling companies across verticals to transform
their processes and bring about a paradigm shift in the global business
landscape. Even the traditionally slow-to-adopt-technology insurance sector
has not been not untouched by this drive to disrupt and become more
competitive. While the insurance space is fraught with inherent barriers that
prevent any sweeping, rapid change — like tight regulatory and compliance
requirements — the change is inevitable. Propelled by concepts of advanced
analytics, robotics, the Internet of Things, artificial intelligence (AI) and deep
learning (DL), the insurance space is on the threshold of perhaps, its most
disruptive phase ever.
This whitepaper highlights few insights on :
- Potential applications of deep learning in insurance.
- What are the key steps to adopt deep learning?
- Why investing in smart tools is essential?