Mentioned in 125 AI use cases across 22 industries
An ad platform automatically reviews ad creatives, shows whether each ad is approved, pending, restricted, or rejected, and explains what to fix so advertisers know when ads can run.
A website and app chatbot that lets shoppers describe what they want in plain language, then suggests brands, trends and products like a store associate would.
An AI assistant can help users find the right sport, game, or betting option from a large catalog instead of making them search manually.
PubMatic lets ad buyers and platform agents use natural language and AI automation to create deals, troubleshoot issues, and optimize campaigns much faster.
The FTC is ordering major AI companies to hand over detailed information so it can understand how generative AI tools are built, sold, and used in the marketplace, including possible effects on competition and consumers.
An AI system can automatically decide how fast to spend an ad budget each day or across the full campaign so the money is used efficiently without running out too early or too late.
The retailer used customer shopping history and product details to send each shopper wine suggestions and marketing emails that felt more like advice from a knowledgeable store associate.
Instead of AI only helping write code, teams use AI helpers for reviews, tests, security fixes, deployments, and even incident response. Humans set the rules, and the AI handles repetitive coordination work.
M&T's developers use AI inside GitLab to help write code faster, but engineers still review and finish the work.
A shopper taps a button, and Google’s AI calls nearby stores to ask whether an item is in stock, what it costs, and whether there are promotions, then sends the answers back.
When a member contacts Modivcare, the system uses their profile and history to guide them to the right care workflow and help agents resolve issues faster.
An AI system suggests beauty products a person is likely to want, instead of making them search through many options manually.
The AI not only predicts a problem, it also starts the fix by ordering the part, booking the technician, notifying the driver, and adjusting the route, while a manager approves it.
This is like giving every shopper their own smart personal assistant that knows the entire store, all the promotions, and the shopper’s preferences, and can guide them from “I have a need” to “order placed” through natural conversation across web, app, or even voice.
Before a delivery truck goes out, AI checks customer instructions, weather, roads, and map imagery to predict if the drop-off might fail and helps avoid the problem.
Two companies used AI helpers to talk to each other and set up a connected TV ad campaign for the beverage brand Clubtails.
When Copilot changes code in a PR, GitHub blocks workflows from auto-running until a person approves them, to avoid exposing secrets to unsafe code.
A publisher can attach a simple privacy flag to different Google ad request types so those requests use generic ads instead of personalized ones.
Kroger and Roku made TV ads that shoppers could act on, then checked whether those ads led to real purchases in Kroger stores.