Finance

Embracing intelligent technology

to auto learn and inform processes

finance.jpg

CRIF for banks and financial institutions

CRIF provides scoring models and expertise, empowering business analysts, from beginners to advanced modellers allowing them to develop, build, test, deploy and manage predictive models. 
Predictive analytics allow you to extract information from existing data in order to determine patterns and predict future outcomes and trends. It forecasts what might happen in the future with an acceptable level of reliability, and includes what-if scenarios and risk assessment. Today, new methodologies, such as machine learning and Genetic Algorithms to solve problems and find indicators or Evolutionary Neural Networks and the availability of unstructured, social network, and behavioural data are used to optimise the relationship between information.

The application of knowledge discovery and data mining through the use of Link Analysis and Neural Networks enables identification, analysis and visualisation of patterns in data; embracing intelligent technology to auto learn and inform processes.

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News

  • September/2017

    Insurance Post: Pet insurance, fetching data by CRIF

    Customer profiling is key to accurately assessing insurance risk, capturing fraud and improving the pet owner’s insurance experience.

  • London, October 5, 2017

    CRIF sponsors the Insurance Fraud Awards 2017

    The 2017 Insurance Fraud Awards were held at The Brewery in London on 5th October. CRIF were proud to attend and sponsor this prestigious event which celebrates the organisations, teams and individuals who work tirelessly to try and combat insurance fraud. 

All

Events

  • London, November 2, 2017

    CRIF sposors the Insurance Fraud Forum 2017

    CRIF will participate at this year edition of the Insurance Fraud Forum organised by the Insurance POST.

  • London, November 2, 2017

    The Insurance Fraud Forum

    CRIF sponsors The Insurance Fraud Forum, which offers unparalleled networking opportunities, ideas sharing, and meaningful debates on how to fight fraud. The ABI's figures show that the insurance sector prevented 125,000 fraudulent claims in 2016, to the tune of £1.3bn.

Other events in the UK
Events worldwide