AI In Finance - Quiz

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

Which machine learning algorithms are commonly used in the finance industry?

  • A Random Forest and K-Means
  • B AdaBoost and Gradient Boosting. Support Vector Machines and Logistic Regression
  • C Naive Bayes and Decision Trees
  • D Deep Learning and Reinforcement Learning

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

What is the primary benefit of generative AI in finance?
  • A Analyzing small amounts of data
  • B Increasing customer service efficiency
  • C Making random decisions
  • D Identifying patterns and trends

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 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 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

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

What are the two parts of a GAN?

  • A Trainer and evaluator
  • B Generator and discriminator
  • C Iterator and accumulator. Encoder and decoder
  • D Predictor and classifier

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.