Take a look at some of the use cases for predictive analytics software that the insurance industry is using to aggregate data from disparate sources for business intelligence.
See how artificial intelligence is helping traders automatically track the most important trends and events that might affect their trading performances.
Check out two ways in which AI-driven business intelligence software could bring value to banks and financial institutions, including investment firms: Report generation and predictive analytics.
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.