Verisk Details AI Strategy at UBS Global Technology & AI Conference 2025

At the UBS Global Technology & AI Conference 2025, Verisk Analytics outlined how it is leveraging advanced analytics and machine learning to expand its addressable market and deepen customer relationships. Management emphasized a multi-year push to embed AI across its product suite — from underwriting and claims automation to catastrophe modeling and cyber risk — while preserving the company’s focus on recurring, subscription-like revenue.

Executives described investments in cloud-native architectures and model governance to accelerate product development and deployment. By standardizing data pipelines and adopting modern ML operations, Verisk aims to reduce time-to-market for new features and make predictive models more interpretable for enterprise clients. The presentation highlighted use cases where automated risk-scoring and natural-language processing augment underwriter workflows and speed claim resolution, producing measurable operational improvements for insurers.

Geospatial and catastrophe modeling remained a pillar of the discussion. Verisk reiterated its commitment to refine hazard analytics by combining high-resolution imagery, climate science inputs and probabilistic models to enhance accuracy and client decision-making. Management also pointed to growing demand for solutions that quantify climate and cyber exposures as insurers and corporate risk managers seek more granular scenario analysis.

The company framed these product and technology investments within a disciplined capital allocation strategy. Verisk described continued prioritization of high-return organic initiatives while remaining opportunistic on M&A that can accelerate capability development or expand market reach. Partnerships with cloud providers and strategic data collaborators were noted as levers to scale distribution.

While the presentation steered clear of new short-term financial guidance, executives reiterated confidence in long-term secular drivers: digital transformation in insurance, the rising role of data-driven decisioning in commercial lines, and enterprise adoption of AI for operational efficiency. Verisk’s message to investors and clients was consistent — invest in AI and cloud infrastructure to strengthen defensible data advantages and drive recurring revenue growth over time.