Insurance Client Manager, Northdoor
Advanced analytics and cognitive computing for FSI organisations
The number of sophisticated high profile fraud attacks is rising year on year, and has most recently managed to bilk some of the world’s most sophisticated and tech savvy companies out of tens of millions. This fast growing complexity within fraud prevention and compliance has made the analysis of massive datasets vital in order to devise new solutions to combat the evolving sophistication of today’s global cybercriminals.
Due to increasing pressure from new competitors within the financial services and insurance industry, organisations have been forced to adapt and streamline their operations in three key areas;
- Simplifying engagement with the market
- Improving expense ratios
- Developing personalised policies that enhance customer engagement
FSI organisations also want to boost competitiveness by increasing automation, in order to execute more business with current resources.
To address these requirements, Northdoor can help FSI organisations understand the immediate benefits of advanced analytics and automation solutions, and the future potential of AI and cognitive computing. With more than 25 years of experience in the London Market, Northdoor offer proven, practical approaches to deploying analytics and cognitive solutions that deliver rapid return on investment.
About the author
Richard Jefferies has over 20 years’ experience in the IT industry, working with senior leaders across multiple industries including insurance and the London Market. At global IT advisory firm Gartner he set up and chaired the “Lloyds Market Forum” round table sessions for London Market CIOs; at international management consultancy 3gamma he set up and chaired the “Leaders of Change Forum” round table sessions for executives responsible for change in medium-large enterprises; at Northdoor he set up and chairs the “Northdoor London Market Round Table” series for executives covering technology-driven transformation. Email Richard or call 07823 345 756