Tag: Generative AI
Earnix challenges insurers to rethink AI-led development
Generative AI is challenging the traditional economics of insurance technology development, allowing insurers to create software faster and with fewer resources. However, Earnix warns...
Why insurers need AI built for the insurance industry
For insurers, having access to generative AI is increasingly becoming the norm rather than a competitive advantage. As the same general-purpose models become available...
AXA and BytePlus expand AI across insurance operations
AXA Hong Kong and Macau, part of the AXA Group, has partnered (MoU) with BytePlus to explore the use of artificial intelligence (AI) and...
Insurers struggle to turn AI into action
Insurers are investing heavily in artificial intelligence across pricing, underwriting, claims, risk assessment and customer engagement. Yet as AI models become more sophisticated, the...
Where is generative AI creating value in insurance today?
The potential of generative AI has caused a widespread race across the insurance sector. Firms are embroiled in various pilots and tests to see...
Why generic AI agents fail the actuarial transparency test
The insurance industry is caught in an AI gold rush, but not everything that glitters is fit for actuarial work. As agentic AI shifts...
Majesco: Agentic AI shapes the future of insurance
Majesco, an AI-native and cloud-native software provider for the insurance industry, has published its latest thought leadership report examining how insurers are approaching artificial...
Insurance CEOs identify agentic AI as a value driver with 44%...
KPMG's Insurance CEO Outlook surveyed 110 insurance CEOs across 11 markets, all leading organisations with revenues above $500m
44% of CEOs expect agentic...
Turning AI promise into business performance
Artificial intelligence (AI) has moved from hype to boardroom priority in financial services and insurance, but the challenge now lies in translating potential into...
When generic AI isn’t enough: why insurance needs its own brain
Insurance companies may be eager to adopt generative AI capabilities, but generic models often fail to grasp the industry’s complexities











