Business Services AI Business Services 3 — Questions and Answers
Question 1: What is a 'large language model' (LLM) primarily used for in business services?
- Generating and understanding human-like text for tasks like drafting, summarizing, and Q&A (Correct answer)
- Processing financial transactions in real time
- Controlling physical robotic arms in warehouses
- Scanning barcodes on products
Correct answer: Generating and understanding human-like text for tasks like drafting, summarizing, and Q&A
LLMs like GPT-4 and Claude are trained on vast text data and excel at language tasks including writing, summarization, and customer interaction.
Question 2: Which challenge most commonly slows enterprise AI adoption according to industry surveys?
- Poor data quality and siloed data systems (Correct answer)
- Lack of interest from executives
- Insufficient computing hardware globally
- Too many AI vendors to choose from
Correct answer: Poor data quality and siloed data systems
Enterprises frequently cite inconsistent, incomplete, or inaccessible data as the top barrier to deploying reliable AI models.
Question 3: What is 'prompt engineering' in the context of AI business tools?
- Crafting precise inputs to guide an AI model toward desired outputs (Correct answer)
- Writing code to train new neural networks
- Designing physical server infrastructure
- Creating employee training manuals
Correct answer: Crafting precise inputs to guide an AI model toward desired outputs
Prompt engineering involves structuring queries and instructions so that LLMs produce accurate, relevant, and useful responses.
Question 4: An AI system denies a loan application due to a biased training dataset. This is an example of what problem?
- Algorithmic bias leading to discriminatory outcomes (Correct answer)
- Model overfitting on test data
- Hardware failure in the inference server
- API rate-limiting by the vendor
Correct answer: Algorithmic bias leading to discriminatory outcomes
Biased training data causes models to replicate and amplify historical discriminatory patterns in automated decisions.
Question 5: Which AI business service application is best suited for processing thousands of invoices daily with minimal errors?
- Intelligent document processing (IDP) with OCR and ML extraction (Correct answer)
- Manual data entry by offshore teams
- Blockchain smart contracts
- Email auto-responders
Correct answer: Intelligent document processing (IDP) with OCR and ML extraction
IDP combines optical character recognition with machine learning to extract, validate, and route invoice data at scale.
Question 6: What does 'explainability' mean in the context of enterprise AI deployments?
- The ability to understand and articulate why an AI model produced a specific output (Correct answer)
- The speed at which a model generates responses
- The total number of parameters in a neural network
- Whether the AI can explain its own architecture to engineers
Correct answer: The ability to understand and articulate why an AI model produced a specific output
Explainable AI (XAI) allows stakeholders to understand the reasoning behind model decisions, which is critical for trust and regulatory compliance.
Question 7: A business uses AI to analyze employee emails and flag burnout risk. What ethical concern is most prominent?
- Employee privacy and surveillance without informed consent (Correct answer)
- AI model accuracy on email datasets
- Cost of email storage infrastructure
- Integration with legacy HR software
Correct answer: Employee privacy and surveillance without informed consent
Monitoring private communications raises serious ethical and legal issues around consent, data ownership, and workplace privacy rights.
Business Services AI Business Services 3
What is a 'large language model' (LLM) primarily used for in business services?