Navigate today’s most pressing health industry challenges with a leading global expert by your side.
Meet growing needs for innovative insurance solutions while increasing operational health and improving compliance.
Deliver on the promises of the past and create smart solutions for the future.
Manage complex risks using data-driven insights, advanced approaches, and deep industry experience.
This is a place where your ideas and insights make an impact. Where an independent, entrepreneurial spirit is an advantage. And where diversity of thought and experience makes us who we are.
Data-driven insight. Deep expertise. Transformative innovation. Since 1947, Milliman has delivered intelligent solutions to improve health and financial security.
Insurers are awash in data—the question is, how do you get value from it? Milliman is a leader in developing and applying analytics solutions to improve decision making, measure and manage risk, increase predictive accuracy, and automate complex tasks. Leveraging hyperscale cloud technology and innovative statistical approaches, we can help you discover powerful hidden insights.
We handle regulatory assistance for both P&C and life insurance. Get help with the actuarial aspects of financial exams, rate filing, and model reviews related to catastrophic risk.
We handle model review for both P&C and life insurance. Validate internal and third-party catastrophe modelling to reduce risk exposure and improve decision making.
With our sophisticated modelling tools and global expertise, we can help you create accurate, actionable financial projections and reporting. We help you understand the implications of pending changes on reserves and capital to ensure continuous compliance—and use data to make effective strategic decisions.
Whether it’s asset strategies and optimisation, proxy modelling, or cluster modelling, our analysis is tailored to your needs, resulting in practical, actionable results. Our approach to risk management includes an emphasis on high frequency capital calculations, resulting in highly realistic assessments.
We handle experience analysis in both the property and casualty and life insurance areas.
Improve early identification of high-loss claims with advanced modelling methods. Gain
maximum insight from existing claims data so you can increase efficiency and
effectiveness of high-value claims personnel, consistently apply the best resources for
improved claim triage, uncover claim-cost segments with previously unnoticed
characteristics, and more.
We understand the data in the insurance ecosystem and have developed and worked with technologies that solve real business problems. We also have subject matter experts to help you transform your businesses with technology.
We bring powerful analytic and cloud computing solutions to your rating and underwriting challenges. Our powerful platforms provide insights about rate adequacy, risk structure, pricing considerations, and profitability.
Combining traditional statistical methods with machine learning technology and innovative data mining techniques, our predictive tools proactively discover predictors in your portfolio. This give you clear, actionable results for a competitive advantage. Predictive analytics can help you precisely select and price business, reduce loss ratios, target the best opportunities, and more.
In the last decade we have seen great advancements in the field of natural language processing (NLP).
In this paper, we will describe several use cases in healthcare for generative AI and explore the potential implications of this growing technology for healthcare payers.
Julia is a general-purpose open-source programming language that debuted in 2012....
Milliman data science leaders discuss the opportunities and challenges of using machine learning in insurance, particularly within healthcare.
In this introduction to large language models (LLMs) for insurance professionals, we discuss how these components of artificial intelligence are trained to produce accurate results.
Artificial intelligence has been the buzz term of 2023....
Wearable technologies are becoming increasingly important in our daily lives as well as in medicine, potentially leading to medical breakthroughs....
This paper investigates how the choice of financial data can impact the calibration and the simulation of credit spread (credit default) scenarios within an economic scenario generator, as well as the insurance liability…
Designing and building a custom life insurance projection and asset and liability management (ALM) model in-house is a challenging endeavour that many insurance companies are considering.
Platforms used for life insurance models have been evolving for a while.
This article summarises the results of a research study on accelerating projections of life insurance portfolios by compressing the data of underlying policies.
How to use explainability to fight fraud
Valuing an insurance balance sheet is a complex exercise that requires the use of stochastic economic scenarios.
Being able to evaluate a machine learning (ML) model is essential part of the toolbox for hospital administrators, providers, and insurance administrators.
There is an increasing complexity of risk neutral valuation models in the insurance industry, along with a growing regulatory attention on them.
Compared with traditional techniques, state-of-the-art machine learning algorithms can substantially improve the forecasts of mortality rates.
Compared with traditional mortality models, machine learning algorithms can significantly improve the forecasts of future mortality rates.
Big data, combined with the increased usage of machine learning algorithms, allows the life insurance industry to model the surrounding world much more effectively than in the past.
The emergence of data analytics and machine learning is providing insurers and reinsurers with new insights into how they drive and monitor their business.
After many failed attempts, Michigan legislators finally passed a historic piece of legislation in 2019, Senate Bill No. 1, which will bring sweeping changes to auto insurance in the state starting July 1, 2020.
With the abundance of data and analytical resources, how important is it for insurance carriers to develop and maintain those resources in-house? Sheri Scott answers this and other questions in this Q&A.
Milliman consultants Nancy Watkins, Matt Chamberlain, Peggy Brinkmann, and Sheri Scott discuss how predictive analytics can uncover value in new and expanding data sets, helping improve pricing, underwriting, and…
How Milliman used analytics to develop a predictive app for a transportation provider.
Learn how predictive analytics differ from other approaches to data—and how it can help your business.
This article examines two case studies demonstrating the use of predictive analytics tools in assumption-setting for LTC claims.
Dramatically reduce the time required for life insurance reserves and liabilities calculations with innovative modelling.
IntelliScript combines industry-leading data and analysis to provide insurers the knowledge, tools, and insight to confidently assess risk.
Visually explore industry experience against your own and make intelligent decisions based on drivers of policyholder behaviour.
Analyse unpaid claims liabilities with industry-leading stochastic and deterministic reserving tools and methods.
Analyse a wide range of claims data to identify those likely to incur high costs, helping optimise management and reduce costs.
Detect patterns in attorney billing practices using powerful algorithms, helping manage costs and improve claims defense.
Milliman PinPoint lets insurers cost effectively evaluate, price, and market residential and flood products using geospatial information.
Automate and accelerate actuarial modelling and reporting with a powerful, cloud-based solution.
Use capital more efficiently to protect against financial risk and comply with growing rating and regulatory requirements.
Embed ERM best practices into your organisation to create a structured and sustainable business management process.
Select insurance-related technology solutions that solve your key challenges and make the most of data.
Validate internal and third-party catastrophe modelling to reduce risk exposure and improve decision making.
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.
Get help with the actuarial aspects of financial exams, rate filing, and model reviews related to catastrophic risk.
Ask the tough questions. We’re ready for them.