We help to bring data science into the heart of day-to-day insurance and banking business. We combine domain knowledge with specialist technical skills to deliver high-impact statistical insights, predictive models and data-driven business advice.
We use survival analysis and anomaly detection techniques to understand churn and fraud in your customer base.
We augment your data with intelligently sourced public datasets to gain you an edge on the competition.
We help you meet regulatory compliance and design profitable products that have better market fit & reduced risk.
We use advanced Bayesian inference and agile prototyping to test new ideas and guide new business plans.
We use a wide variety of machine learning techniques to understand, automate and improve business operations.
We help to create expert in-house capability and embed a culture of scientific data discovery and communication.
From data exploration to dashboarding, from advanced Bayesian inference to microservice prediction engines, here's some of the recent interesting projects we have undertaken for our clients. Click images to request a case study.
Greenfield project to provide insight into customers past, present & future. We fused high-dimensional demographics with internal data and used unsupervised clustering & survival modelling to categorise customers and evaluate credit risk.
Advanced project to help model customer and broker behaviours, and help predict and improve policy persistency. We created a set of bespoke time-to-event models using traditional and Bayesian inferential methods to understand key drivers.
Exploratory project to find non-invasive insights into the communication patterns between the client, customers and brokers. We mined large textual datasets, using advanced natural language processing and lightweight interactive dashboarding.
We are a small team with expertise in machine learning, statistical modelling, actuarial science, software development, and financial systems. A network of strategic partnerships allows us to bring in specific capabilities for projects.
Our core team combine many years experience in financial and business services, with a focus on statistical modelling, software development and business change.
Jon founded Applied AI in 2013 to bring a bespoke data science consulting service to the financial sector. His twelve years technical and advisory experience are sought by senior audiences worldwide.
We are a regular sponsor of the R in Insurance Conferenceand our team also organise, speak at and volunteer within several technical groups and industry events.
Applied AI worked with us over the course of a year helping to setup our in-house data science function. Their approach sits at the sweetspot of data science theory and insurance practice, and they enabled us to establish the department from scratch at low risk to perform high quality data science. They worked with internal staff, external contractors and university researchers and we found their help extremely valuable.David Kavanagh - Head of Analytics, Ireland - Zurich Life Assurance
Applied AI helped us clearly demonstrate how we can make better use of our internal data. The team worked closely with our actuarial staff to merge their custom socioeconomic information with our internal data to find patterns in our customer base and identify significant cost savings. The project was very successful and results were communicated to the board with a demonstrable recommendation that we start down the path of using our data more effectively.David Roberts - Actuarial and Finance Director - New Ireland Assurance
Applied AI Ltd is a limited company registered in England and Wales #08609649 152 City Road, London, EC1V 2NX, UK Applied AI Ltd © 2013 - 2016