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 financial service and insurance industry


Drowning in Data, Financial Services and Insurance Industries Seek Technology and Talent to Close Global Insights Gap - Global Banking & Finance Review

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Across the globe, companies are amassing volumes of data with the intent of optimising performance, identifying trends and meeting rising consumer expectations. Yet nearly 75% of global financial services and insurance executives admit they are challenged by the fractured nature and vast amount of data available, citing rich analytics capabilities as difficult to achieve. In the UK alone, 71% of executives admit they are challenged by the immense data they have. With these challenges in mind, a new Aite Group study commissioned by TransUnion found that executives in the financial services and insurance industries plan on continuing to secure more data sources. Furthermore, they look to incorporate more artificial intelligence (AI) and machine learning (ML) technology into their analytic platforms to help them make sense of the information.


Structured Data Is the Key to AI for Banks & Insurers

#artificialintelligence

While financial institutions are still in the early stages of adopting AI technologies, intelligent machines are expected to become the most defining for the future of institutions in the financial services and insurance industries. In fact, estimates suggest that 75% of insurance executives believe that AI will either significantly alter or completely transform the insurance industry by 2020. Moreover, one-third believe that their own company will be completely transformed by AI within that timeframe. AI is expected to redefine the way financial institutions gain information from and interact with their customers, with the benefits of embedding AI into user interfaces being better data analysis and insight. A range of institutions are already either experimenting or have implemented AI/ML capabilities into various processes, with benefits encompassing improvement of straight-through reconciliation (STR) of incoming payments, higher conversions from service recommendation engine, better understanding of customer behavior and preferences, large-scale automation, etc.


Why structured data is the key to AI for banks and insurers

#artificialintelligence

While financial institutions are still in the early stages of adopting AI technologies, intelligent machines are expected to become the most defining tech for the future of institutions in the financial services and insurance industries. In fact, estimates suggest that 75% of insurance executives believe that AI will either significantly alter or completely transform the insurance industry by 2020. Moreover, one-third believe that their own company will be completely transformed by AI within that timeframe. AI is expected to redefine the way financial institutions gain information from and interact with their customers, with the benefits of embedding AI into user interfaces being better data analysis and insight. A range of institutions are already either experimenting or have implemented AI/ML capabilities into various processes, with benefits encompassing improvement of straight-through reconciliation (STR) of incoming payments, higher conversions from service recommendation engine, better understanding of customer behavior and preferences, large-scale automation, etc.