Advanced Analytics & Intelligent Automation technology has created a wealth of opportunities for the insurance sector. Data Analytics is offering deeper insights into customers, employees and business problems; whilst Intelligent Automation technology is delivering unparalleled performance and business growth through process optimisation. . .
Ultimately, advanced analytics and intelligent automation presents an opportunity to meet customer experience demands of the future by delivering faster quotes, processing claims quicker and providing truly actionable insights, whilst managing risk and complying with regulation.
That's why we're bringing together Europe's leading data professionals and intelligent automation specialists from across the insurance sector to help you to identify the projects that will give you the biggest ROI, build the business case, secure buy-in, implement your data and IA strategy, define clear metrics to measure performance and scale your project.
By bringing together industry thought leaders from across Europe, attending Advanced Analytics and Intelligent Automation for Insurance will teach you how to leverage your data and implement RPA, AI, ML and other IA technology to drive business innovation, improve efficiency and meet customer expectations.
Identify IA opportunities that will solve unique business problems and provide the greatest ROI
Improve customer experience and loyalty whilst reducing churn
Enable faster, smarter, customised claims processing and settlements through AI and advanced analytics
Develop and set KPI’s and metrics that will measure the success of IA projects
Apply AI technology to improve fraud detection and prevention
Solve underwriting problems and transform how insurers underwrite risk
Find out if your competitors are facing the same challenges as you? This infographic highlights 6 key challenges faced by Data, Analytics, Underwriting and Business Leaders in the Insurance Sector.
In this ebook we interview a selection of industry experts familiar with the technology to gain insight into the lessons learnt from their experiences with machine learning.
In an increasingly competitive industry, insurance firms have to operate more efficiently, provide exceptional customer service and utilise the latest technologies.
