Learn about use cases where machine learning can be applied to insurance applications, including insurance advice to consumers and agents, claims processing, fraud protection, and risk management.
See the potential machine learning has for equity markets in portfolio management.
See how firms are using machine learning in the alternative lending and funding landscape to curb fraud, get more complex insights into risk, make sounder funding decisions and achieve lower loss rates.
See how the insurance industry is using artificial intelligence to turn raw big data into business-ready information
See how banks are using AI for reconciliations, risk assessment, compliance, trading, customer service, and more.
According to the “Finance Redefined: Workday Global Finance Leader Survey,” data science is the most important emerging role for the future finance function across North America, Europe, and Asia Pacific, with statisticians and data security professionals reported as second and third.
See how the insurance industry is using Big Data technologies to predict risks and claims, to monitor and to analyze them in order to develop effective strategies for customers attraction and retention.
Wealth Managers have reached a point where they need artificial intelligence and machine learning to improve performance. This article discusses just how this is being accomplished.
Check out how AI is being implemented at the 7 leading commercial banks in the U.S. as ranked by the U.S. Federal Reserve. The article discusses how banks are increasingly investing in this technology, what they are using it for, and the difficulties they face to obtain and retain AI and machine learning talent.
As the insurance industry struggles to utilize its data, the following article explains how predictive analytics is helping with the problems they face.