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400-007 · Question #480

An investing Division of a financial services firm wants to improve its decision-making with the use of artificial intelligence and machine learning. The business must automate routine financial…

The correct answer is A. Anticipating financial and Market trends with the help of ML algorithms. E. Using ML models to supply decision-makers with real-time insights and automate regular financial. The division wants automation of analysis, stronger risk models, and prediction of market trends: - Anticipating financial and market trends with ML algorithms: Directly supports predicting future market behavior. - Using ML models to supply decision-makers with real-time…

Designing Management and Operations

Question

An investing Division of a financial services firm wants to improve its decision-making with the use of artificial intelligence and machine learning. The business must automate routine financial analysis processes, enhance its risk assessment models, and predict future Market trends. Which two AI/ML capabilities best support these business needs? (Choose two.)

Options

  • AAnticipating financial and Market trends with the help of ML algorithms.
  • BImproving the company's cybersecurity protocols and detecting any intrusions by using AI and
  • CUsing AI-powered platforms to tailor financial recommendations to individual customers according
  • DIntroducing chatbots driven by AI to handle routine customer servisse requests and
  • EUsing ML models to supply decision-makers with real-time insights and automate regular financial

How the community answered

(59 responses)
  • A
    85% (50)
  • B
    3% (2)
  • C
    3% (2)
  • D
    8% (5)

Explanation

The division wants automation of analysis, stronger risk models, and prediction of market trends: - Anticipating financial and market trends with ML algorithms: Directly supports predicting future market behavior. - Using ML models to supply decision-makers with real-time insights and automate regular financial analysis: Matches automation of routine analysis and providing real-time decision Customer personalization and chatbots are useful AI use cases but do not directly meet the described needs.

Topics

#AI/ML capabilities#predictive analytics#financial ML models#decision support

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