AI In Finance - Quiz

What is the main purpose of data science and analytics in finance?

  • A To generate insights and unlock value from data for business intelligence and decision making.
  • B To convert speech to text for customer service insights. To identify anomalies in financial data
  • C To deliver personalized financial recommendations
  • D To translate financial documents into different languages

How does AI in finance help organizations?

  • A AI in finance helps organizations understand markets, customers, and engage in scale-like human interactions
  • B Understanding stock markets. Enhancing customer loyalty
  • C Making fewer calculations.
  • D Decreasing performance measurement

How can sentiment analysis be used in investment research?

  • A To generate insights from structured and unstructured data
  • B To identify positive and negative sentiment in news articles and social media
  • C To identify anomalies in trading activity. To deliver personalized financial recommendations
  • D To identify the emotional perspective in customer interactions

How can GANs be useful in the financial sector?
  • A They can only generate synthetic data. They can only improve financial sector fraud detection.
  • B They can only simulate the market and evaluate the impact of different factors on financial markets.
  • C They can only identify unusual patterns or outliers in financial data.
  • D All of the above

What is one way in which AI can benefit availability in financial services?
  • A By rapidly analyzing large amounts of data
  • B By continuously running on its given tasks when operating in the cloud
  • C By providing more flexible, personalized digital banking experiences
  • D By automating tasks for employees

What type of data are autoregressive models used for?

  • A Categorical data such as gender and occupation.
  • B Random data such as coin flips and dice rolls.
  • C Multi-dimensional data such as images and videos.
  • D Sequential data such as stock prices, interest rates, and economic indicators.

How does generative AI help financial organizations with data analysis?

  • A Minimizing the amount of data collected. Eliminating the use of machine learning algorithms
  • B Restricting the number of variables in the analyzed data
  • C Using traditional methods for data analysis
  • D Providing new insights and estimations

Which of the following can be detected using anomaly detection technology?

  • A Structured and unstructured data in documents. Peer interactions and financial goals
  • B Fraudulent transactions and financial crime
  • C Customer sentiment in customer service interactions
  • D Market trends in investment research

What is the foundation of autoregressive models?

  • A The future observation depends on past values.
  • B The future observation depends on current values.
  • C The current observation depends on future values.
  • D The current observation depends on past values.

How does AI benefit portfolio optimization in finance?

  • A Decreases returns
  • B Decreases fraud
  • C Generates valuable insights for informed financial decisions
  • D Increases risk