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Data quality in the insurance sector: How machine learning and AI can drive improvement
As data informs decisions from pricing and underwriting to claims management and risk assessment, new technologies can help insurers to maintain and elevate data quality standards.
White paper
Actuarial use cases, model development, and governance in Julia
We make the case for why (re)insurers and pension plans should consider using the programming language Julia for critical actuarial, reserving, and ALM models.
White paper
Process automation in actuarial modelling: A PRT pricing case study
Pricing bulk purchase annuities: We show how AI tools can automate data checks, extract key information, and reformat data for model input.
White paper
GPU: Exploring use cases in actuarial modeling
Introduction, applicability, benchmarks, and cost-performance overview
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