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Insurance has always been a data-driven business, but emerging technologies in the area of machine learning and artificial intelligence promise to enable a new generation of insights that look into the future, not just back to the past.
The vast amounts of information produced by insurance technology holds the promise to enable accurate predictions, competitive insights, and intelligent actions.
Powered by the cloud, enriched with powerful new modelling methodologies, predictive analytics are powerful tools—for those who know how to use them.
See how Milliman predictive analytics helps clients uncover value in their data.
Enterprise risk management is evolving, and insurance companies now have more sophisticated ways to control information.
Milliman data science leaders discuss the opportunities and challenges of using…
In this introduction to large language models (LLMs) for insurance professionals…
Artificial intelligence has been the buzz term of 2023....
Artificial intelligence (AI) is rapidly transforming the insurance industry,…
Designing and building a custom life insurance projection and asset and…
This article summarises the results of a research study on accelerating…
How to use explainability to fight fraud
Being able to evaluate a machine learning (ML) model is essential part of the…
Compared with traditional techniques, state-of-the-art machine learning…
Compared with traditional mortality models, machine learning algorithms can…
Using a hybrid model for health claim email filtering could significantly reduce…
Life insurers are embracing the use of machine learning (ML) and artificial…
Why are actuaries starting to use Python programming? Learn more in this…
Data is a key component when you are attempting to identify opportunities and…
This presentation given at the Society of Actuaries in Ireland’s Annual…
Learn how predictive analytics differ from other approaches to data—and…
This article provides insight into the 2015 gross savings/(losses) achieved by…
This article examines two case studies demonstrating the use of predictive…
Analyze unpaid claims liabilities with industry-leading stochastic and deterministic reserving tools and methods.
IntelliScript combines industry-leading data and analysis to provide insurers the knowledge, tools, and insight to confidently assess risk.
Automate and accelerate actuarial modeling and reporting with a powerful, cloud-based solution.
Assess the quality of stochastic unpaid claim distributions used for enterprise risk management and dynamic financial analysis.
Detect patterns in attorney billing practices using powerful algorithms, helping manage costs and improve claims defense.
Identify new market sectors, pinpoint adverse selection, and make better pricing decisions with a web-based premium comparison tool.
Visually explore industry experience against your own and make intelligent decisions based on drivers of policyholder behavior.
Manage risks and ensure profitability with a full range of analytical and actuarial services tailored to the needs of CCRCs.
Plan for climate-related issues with sophisticated models representing more than 30 years of expertise.
Improve flood insurance with independent flood rating and underwriting, ratemaking, and competitive analysis.
Select insurance-related technology solutions that solve your key challenges and make the most of data.
Uncover valuable information hidden in your data, allowing you to take action on key business insight.
Match price to risk, get better ratings, and improve profitability in the most difficult markets.
Ask the tough questions. We’re ready for them.