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.
Article | “Artificial Intelligence for Investment Research and Trading Insight”
See how artificial intelligence is helping traders automatically track the most important trends and events that might affect their trading performances.
Article | “Business Intelligence in Banking – Current Applications”
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.
Article | “Machine Learning – Insurance Applications Use Cases”
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.
Article | “Machine Learning in Equity Markets”
See the potential machine learning has for equity markets in portfolio management.
Article | “Is Your Firm Ready for Machine Learning?”
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.
Article | “Five New Insurance Big Data Use Cases for 2018 — Pricing, Risk and Underwriting”
See how the insurance industry is using artificial intelligence to turn raw big data into business-ready information
Article | “Bank of America Merrill Lynch has become the latest bank to implement AI”
See how banks are using AI for reconciliations, risk assessment, compliance, trading, customer service, and more.
Article | “Global Finance Leader Study: Data Science Is Most Important Expertise for Future Finance Team”
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.
Article | “Top 10 Data Science Use Cases in Insurance”
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.