Radar with Python integration is the answer
Radar with Python enables your insurance business to benefit from the flexibility and innovation of open source but in a controlled, robust environment that supports business-critical decisions and generates real value.
Radar’s complete insurance analytics and model deployment solution integrates with Python so you can deploy code, AI and machine learning from more than 8,000 Python libraries. Execute Python models in real time, freeing you to focus on driving better business decisions to maintain your competitive edge and boost growth.
Radar with Python lets you:
- Deploy AI and machine learning in pricing, underwriting and claims.
- Use AI and generative AI (GenAI) models on unstructured data during the claims and underwriting processes to help make better predictions more quickly
- Change business rules to adapt to dynamic markets quickly and efficiently
- Overcome silos across insurance operations by creating a single environment for pricing, underwriting, portfolio management, actuarial and data science
- Collaborate on better decision making and performance improvement, through seamless joint deployment of Python and Radar models.
Sidestep IT bottlenecks and take control of open source for insurance
Benefit from a simpler operating model using open source and quicker speed to market, without waiting on over-stretched in-house IT teams.
As a professionally maintained and supported solution, Radar with Python puts the power of open source deployment into the hands of those who understand the business.
You don’t have to choose between expensive, custom deployment solutions and the compromises required when you use open standards such as ONNX and PMML.
And you can reassure stakeholders you’ve chosen an open-source insurance solution that’s not retrofitted with security, control and governance.
Radar with Python is hard-wired with measures that protect insurance businesses.
It calls on WTW’s established track record of building technology solutions for insurance, by insurance specialists, with a deep understanding of the risks as well as the possibilities of open source and AI for insurance.
Driving ROI on open source for insurers — Radar with Python key features
- Low latency, high volume and high resiliency for business-critical decisions
- Insurance-specific requirements, such as historic models for pricing for policy adjustments and meeting regulatory requirements, built in
- Security and governance requirements to be met when deploying open source code.
