Identify AI concepts and capabilities

A media company wants to automatically produce written descriptions of the visual content in its archive of video clips, including identifying objects, actions, and scenes so editors can search the archive by content. Which AI workload category best addresses this requirement?

A call center wants to automatically convert recorded customer support phone calls into written text so that supervisors can search and review the conversations later. Which AI workload should the company use to accomplish this?

A software company receives thousands of customer support emails daily. They want to automatically route each email to the correct department by determining which of five predefined categories (Billing, Technical, Sales, Legal, or General) best describes the email content. Which AI capability should they use to accomplish this?

A financial services company builds an AI assistant that answers customer questions about investment products. Compliance requires that whenever the assistant provides an answer, it must clearly indicate which internal documents the information came from and note that the response was generated by AI. Which responsible AI principle does this requirement primarily support?

A city government is deploying an AI-powered chatbot to help residents access public services. The team wants to ensure the chatbot works effectively for residents with visual impairments, limited literacy, and those who speak languages other than the region's primary language. Which responsible AI principle is the team primarily addressing?

A bank deploys a generative AI assistant to answer customer questions about account fees. During testing, the team notices that the same question sometimes produces conflicting fee amounts, which could mislead customers. Which responsible AI principle is the team primarily addressing when they work to ensure the assistant returns consistent, dependable answers?

A news organization wants to automatically generate a short paragraph that captures the main points of each lengthy article so readers can quickly decide whether to read the full text. Which text-analysis technique should they use?

A development team is building an internal knowledge search tool. They want user queries and documents to be converted into numeric vector representations so that documents with similar meaning to a query can be retrieved, even when they do not share the exact same words. Which type of model should they use to generate these representations?

A software development team wants to integrate an AI capability into their internal developer portal that generates working code snippets and functions from plain-language descriptions typed by engineers. Which type of generative AI model is best suited for this requirement?

A marketing analyst wants to automatically group thousands of customers into segments based on similarities in their purchasing behavior, without providing any predefined labels or categories. Which type of machine learning workload best fits this requirement?

A media company is deploying a generative image model that lets marketing staff create promotional artwork from text prompts. Leadership is concerned that the model could occasionally produce harmful, violent, or otherwise offensive imagery from ambiguous prompts. Which responsible AI principle is most directly addressed by adding content filters that block such outputs?

An e-commerce company wants to automatically detect when two product listings submitted by different sellers describe essentially the same item, even when the wording differs (for example, 'wireless noise-cancelling headphones' vs 'cordless sound-blocking earphones'). Which AI technique is best suited to measure how closely the meaning of two text passages matches?

A medical imaging startup is building an AI system that flags suspicious lesions in X-ray images. The team decides that whenever the model's prediction confidence falls below a set threshold, the case is automatically routed to a human radiologist instead of being auto-classified. Which responsible AI principle does this design choice primarily support?

A public transit authority is building a self-service kiosk. Riders type their destination question into a screen, and the kiosk must read the answer aloud through a speaker so that visually impaired riders can hear it. Which AI workload capability should the developers use to produce the spoken output?

A media monitoring company wants to automatically determine whether social media posts about their client express a positive, negative, or neutral opinion, and produce a score reflecting that tone. Which text-analysis technique should they use?

A software company receives thousands of free-text customer comments each week. Analysts want an AI solution that, for each comment, produces a single overall rating indicating whether the comment expresses a positive, neutral, or negative opinion so they can track satisfaction trends over time. Which text-analysis technique should they use?

A retail company collects thousands of written product reviews each week. The analytics team wants to automatically determine whether each review expresses a positive, neutral, or negative opinion so they can track customer satisfaction trends over time. Which text-analysis technique should they use?

A bank is deploying a generative AI chatbot that lets customers ask questions about their accounts. During design reviews, the team wants to ensure the system never exposes one customer's personal account details to a different customer and complies with data protection regulations. Which responsible AI principle is the team primarily addressing?

A financial services company is deploying a generative AI model in Azure AI Foundry. Regulations require that all customer data processed by the model must remain within the company's own country. Which deployment configuration decision most directly addresses this requirement?

A marketing team wants to automatically scan thousands of user-uploaded social media photos to find images that contain their company's logo, so they can measure brand exposure. Which AI workload best fits this requirement?