100 AI use cases • Executive briefs • Technical analysis
Think of NVIDIA BioNeMo as a set of very smart chemistry and biology "co-pilots" that can read and write molecules and proteins the way ChatGPT reads and writes text. Instead of scientists manually trying out millions of possibilities in the lab, BioNeMo helps them design and screen promising drug candidates on a computer first, massively narrowing the search space.
This is like giving your digital advertising system a smart autopilot: AI figures out who is likely behind each screen, what they care about, and automatically buys the right ad impressions at the right price across the web.
This is about using AI as a super-analyst and planner for marketing: it reads your customer and campaign data, spots patterns humans miss, and suggests who to target, with what message, on which channel, and when—so your marketing dollars work harder.
This is like giving your ad platform a crystal ball that predicts which people are most likely to tap on or engage with a mobile ad, so you show fewer ads to people who won’t care and more to those who probably will.
Think of this as a tireless digital marketing assistant that can design ads, test many versions automatically, and keep tweaking them to get more clicks and conversions—without a human having to watch it every minute.
This is like having a tireless junior creative team that studies which ads perform best, then automatically drafts new versions of those ads that are more likely to work—headlines, copy, and visuals—over and over again.
This is like having a super-smart media planner that reads every page, video, or app screen in real time and decides whether your ad should appear there based on how likely someone is to act (click, visit, buy) – all without using cookies or following people around the web.
This is about using data to build a “crystal ball” for your marketing—software looks at past customer behavior and predicts who is likely to buy, churn, or respond to an offer so you can spend your budget where it’s most likely to work.
Think of media buying as trading ads on a stock exchange. Programmatic buying is the robot trader that automatically bids on ad space in milliseconds. AI makes that robot trader much smarter, faster, and able to decide which impressions are worth paying for, at what price, and for which audience.
Think of this as a self‑driving system for buying digital ads. Instead of people manually picking sites, bids, and audiences, AI constantly analyzes who is most likely to respond and automatically buys the right ad impressions in real time at the best price.
This is like having a super-fast digital media trader that watches your Facebook ads 24/7 and automatically shifts budget, bids, and creatives to whatever is working best—without a human needing to click buttons all day.
Think of this like a smart air-traffic controller for your ads. It watches how all your campaigns perform across Google, Meta, TikTok and other channels at once, learns what’s working, and automatically shifts budget, creatives, and targeting to get you more results for the same spend.
This is like giving your marketing team a super-fast creative assistant that can instantly draft lots of ad ideas and variations tailored to telecom customers, so humans just pick, refine, and approve instead of starting from a blank page.
Imagine every person watching TV or scrolling online sees an ad that’s been instantly rewritten and re-edited just for them—different script, images, and product angle—created automatically by AI instead of a big creative team doing one version for everyone.
This is about using smart algorithms to decide which ads to show to which people, at what time, and on which channel—similar to a super-optimizer that constantly learns which combinations drive the best results and automatically adjusts your ad campaigns.
Think of this as turning your marketing team into pilots of a self-driving ad machine: humans set goals and guardrails, while AI continuously tests, tweaks, and reallocates budget across channels to get you more customers for less money.
Think of AI in programmatic advertising as a super-fast trading bot for ad space: it constantly scans who is online, what they’re doing, and in a split second decides which ad to show, at what price, and on which website to maximize your marketing results automatically.
Think of these AdTech AI agents as a team of tireless digital interns that understand ads, audiences, and campaign data. You tell them your goals (e.g., ‘get more app installs in Germany within this budget’), and they continuously research options, tweak settings, buy media, test creatives, and report back—without needing a human to click every button in every platform.
Imagine your marketing department had an endlessly energetic assistant that could draft ads, personalize messages for every customer, test which versions work best, and adjust campaigns on its own while your team focuses on strategy. That’s what generative AI is doing for marketing and advertising.
This is about using AI as a smart digital marketing assistant that creates, tests, and optimizes your online ads automatically so you sell more without manually tweaking every campaign.
This is like a copy machine for winning ads: you show it examples of ads that already work well, and it quickly creates new, similar ads tailored to your brand and audience.
This is a buyer’s-guide style overview of software that acts like a “crystal ball” for marketers: it looks at your past campaign and customer data to predict which audiences, channels, and messages will work best next, so you can spend budget where it’s most likely to pay off.
Think of this as giving your marketing team a super-smart assistant that can study what every customer is doing in real time, write tailored messages for them, decide which ad to show where, and keep learning what works so your budget isn’t wasted.
Think of this as giving your marketing team a super-fast, super-smart analyst who studies every customer click, email, and ad impression, then quietly tells you: ‘show this group offer A, show that group message B, and stop wasting money on these channels.’
This is like having a smart, always-on Google marketing consultant that looks at your ads and analytics data, explains what’s happening, and suggests concrete optimizations to improve campaign performance.
This is like a financial advisor for your ad budget: it looks at all your past marketing spend and results across channels (TV, search, social, email, etc.) and tells you which ones are actually working, by how much, and where to move money to get better returns.
Think of this as a smarter, more polite billboard system for the internet. Instead of shouting the same message at everyone, AI helps show the right ad to the right person at the right time—while staying within new privacy rules.
This is like a super-smart TV ad matcher that watches the show in real time, figures out what it’s about and who is likely watching, and then picks the most relevant ad to show that viewer – without needing their name or cookies.
This is like giving your online ads a motion upgrade and a built‑in coach. The system can turn static images into eye‑catching animations and automatically tell you which versions of your ads work best, so you waste less money guessing what creatives to run.
This is like giving your marketing team a super-smart sorting machine. It looks at all your customer data and automatically groups people into smart segments—"likely to buy now", "needs nurturing", "high-value upsell"—so you can send the right message to the right people without guessing.
This is about the next generation of digital ad buying, where software agents act like tireless junior media buyers. Instead of humans manually tweaking bids, budgets, and targeting rules in programmatic platforms, AI agents continuously watch performance and automatically adjust campaigns to hit goals like ROAS or CPA.
Think of this as a super-smart ad trader that watches billions of people’s clicks in real time and automatically decides which ad to show, to whom, at what price, and on which platform to get the best return—far faster and more accurately than any human team could.
This is like having a digital ad agency in a box: you type what you want to promote, and the AI helps you generate ad creatives, copy, and campaigns in minutes across channels.
This is like giving your marketing team a super-smart assistant that constantly studies which people click and buy, then automatically adjusts who sees your ads so you’re not wasting money showing ads to the wrong audience.
Think of this as a super-smart billboard system that doesn’t track who you are, but instead reads the page you’re on in real time and shows an ad that fits the exact topic, tone, and situation of that content.
This is like a smart billboard that learns who is likely to be interested in your product based on patterns in anonymous signals, instead of spying on people with cookies. It uses AI to guess where your best customers will be and shows ads there, without needing to track each person around the internet.
This is like having a smart digital marketing assistant inside Facebook and Instagram that automatically builds and optimizes your ads so more of the right people see them, for less money, with less manual tweaking.
This is like hiring a traditional marketing agency, but with a smart robot brain sitting beside every marketer—constantly crunching data, testing ideas, and adjusting campaigns in real time so your ads work better and waste less money.
This is like giving your media buying team a super-calculator that constantly studies billions of ad impressions and audience signals, then automatically adjusts who you target, where you show ads, and what you pay so every dollar has a better chance of turning into real business results.
This is like having an on‑demand creative team that instantly drafts lots of ad visuals and copy options for you, so your marketers just pick and refine instead of starting from a blank page.
This is like an AI-powered creative team that quickly drafts many versions of your ads and helps you pick the ones that are most likely to perform well.
This is about using YouTube’s AI and machine learning to automatically find the right viewers for your ads, set smarter bidding, and continuously improve performance—like giving your media buying team a super-intelligent autopilot that learns who is most likely to watch, click, or buy.
Think of GEM as a super-smart matchmaker that reads every ad, every user’s behavior, and a ton of context, then “imagines” which specific ad version and placement a person is most likely to respond to—millions of times per second across Meta’s apps.
Think of this as a smart ad-placing assistant that studies who actually clicks and buys from your ads on social platforms, then automatically shows future ads to more people who look and behave like those best customers.
This is like giving your holiday marketing team a smart robot helper that can brainstorm festive campaign ideas, write ad copy and emails, and suggest which products to promote to which customers, so your seasonal campaigns land better with less manual work.
This is like giving affiliate marketers a data‑savvy crystal ball: it looks at mountains of past ad and offer performance data and then tells you which new offers are most likely to be winners before you waste money testing them.
This is like giving every marketer a smart digital assistant that can brainstorm campaigns, write and adapt content for lots of channels, and analyze what’s working—so a small team can operate like a much larger one.
Think of it as a super-fast reader that scans millions of web pages and figures out what each page is really about – not just the words on it, but the meaning and mood – so your ads show up in places that actually fit your brand and audience.
This is like a super-smart marketing Rolodex that automatically figures out which customers are most likely to respond to which messages, and then helps you talk to each group differently across ads, email, and your website.
This is like giving your marketing team a crystal ball that looks at all your past customer and campaign data and says, “If you spend money here, with this message, to this audience, you’re most likely to get results.”
Think of Ringier’s ad inventory like airplane seats: if the price is too low, you leave money on the table; if it’s too high, seats go empty. This AI system constantly studies how buyers behave in the ad auction and automatically adjusts the minimum price (floor price) so that more impressions sell at the best possible price without scaring away demand.
Think of this as a very smart scorekeeper for your marketing spend. Instead of guessing which ads, channels, and campaigns are working, AI sifts through all the messy data and tells you which dollars are actually driving sales – and which ones you can safely cut.
Think of this as a super-analyst that watches every ad impression, every click, and every purchase in real time, then constantly tweaks who sees which ad, on which channel, and at what price to get more results for the same (or less) budget.
This is Meta’s “autopilot” for ads: instead of you manually picking every audience detail, Meta’s AI watches how people behave on Facebook and Instagram, learns who reacts to which ads, and then automatically shows your ads to the people most likely to care, in real time.
This is about using AI as a super-assistant for B2B marketers so they can target the right companies, send more relevant messages, and optimize campaigns automatically to squeeze more revenue out of the same marketing budget.
This is about using AI as a super-fast assistant that helps run and optimize your Google/Microsoft ads – deciding bids, matching keywords, and writing some ad copy – while humans still set the goals, strategy, and guardrails.
This is like giving your marketing team a smart autopilot for influencer and creator campaigns. The AI hunts for the right creators, predicts which partnerships will work best, and automatically tweaks budgets and content so you can run hundreds of creator ads as easily as a few.
Think of this as a smart, always‑on assistant that decides who should see your ads, what message they should see, and when they should see it, based on patterns it learns from huge amounts of online behavior.
This is like a smart billboard system for the internet that figures out what kind of content a person is looking at and then shows ads that match that context and likely interests—without needing to track them personally across the web.
This is a research study that asks: "When brands use AI to personalize ads and offers, what makes people in Greece say yes or no to it?" It looks at how much people trust AI marketing, how they feel about sharing their personal data, and how these feelings affect whether they accept AI-driven promotions.
Think of this as turning your company’s historical data into a ‘crystal ball’ that estimates which customers are most likely to click, buy, or churn so you can spend ad and sales dollars where they’ll work hardest.
This is like giving your marketing team a crystal ball: it uses past customer behavior and campaign data to guess who is most likely to buy, click, or leave, so you can send the right message to the right person at the right time.
This is like giving your marketing team a super-smart digital assistant that can read all your customer and campaign data, then suggest what to say, where to say it, and who to say it to so you waste less ad money and get better results.
This is like giving your marketing team a smart crystal ball that estimates how valuable each customer will be over their whole relationship with you, then sorting them into groups (segments) so you can spend more on the customers who are worth more and less on those who aren’t.
Like having a digital creative team that automatically writes and designs ads for you, so you just say what you’re selling and it produces ready-to-run ad creatives.
This is a buyer’s guide that compares different AI tools that try to predict which customers are most likely to buy, click, or churn so marketers can target them more efficiently—like a smart assistant that tells you who to talk to, when, and with what offer.
Think of it as a tireless junior copywriter that can instantly write dozens of ad versions, then help you test which ones actually make people click and buy.
Think of this like giving your marketing team an ultra-fast, data-obsessed intern who can both pick where to run your ads and also draft the ad ideas for you—24/7, without getting tired.
This is like having a digital creative team that can write, design, and set up your online ads for you. You tell it what you’re selling and where you want to advertise, and it drafts the ad copy, images, and campaign setup automatically.
Think of this as a self-driving system for online ads. Instead of humans manually choosing where every ad goes, AI continuously decides which ad to show, to whom, and at what price, based on real‑time data and new privacy rules (like fewer cookies).
This is like having an endlessly patient, well‑trained junior copywriter that can instantly draft hundreds of variations of native ads tailored to different audiences and publishers, while your human marketers just direct and refine the output.
This is like giving marketers a smart creative assistant that knows marketing theory. It helps design and test AI-generated ads and campaigns in a structured way, then measures what actually works with real customers.
This is like having a fast, tireless junior creative team that turns your rough marketing ideas into ready-to-use ad creatives and assets automatically.
Think of this as a robot creative team that can instantly produce hundreds of ad variations, test them in the real world, and keep the ones that actually boost sales and brand lift—whether or not traditional creatives think they “look like great ads.”
This is about using smart algorithms to watch how customers behave online and then automatically show each person the right message, offer, or content at the right time—like having a million tiny sales reps who each know one customer really well.
This is like giving TV advertisers a smart assistant that can quickly spin up lots of ad variations for connected TV (CTV) and then watch how each one performs, learning in real time which versions work best and why.
This is like hiring a super-fast, data-obsessed media planner that never sleeps. It studies who your best customers are, where they hang out online, and what they respond to, then automatically places and tweaks ads so the right people see the right message at the right time.
This is like having a smart digital marketing intern that can instantly write and design ads for you, test variations, and suggest where and how to run them to get better results.
Think of it as an always‑on digital marketing brain that studies how every ad performs, learns what persuades different types of customers, and then automatically adjusts your ads, audiences, and budgets in real time to get you more sales for the same (or less) spend.
This is like having a tireless digital art director and copywriter that can instantly draft hundreds of ad ideas, images, and headlines for every audience segment, then learn which ones work best and refine them continuously.
Think of this as a super-fast, always-on creative and media assistant that can write ad copy, design visuals, test thousands of campaign variations, and personalize messages for each customer automatically.
This is like a super-smart A/B testing brain for marketing: instead of just guessing which ad or offer works best on average, it learns what *would have happened* if you had sent a different campaign to each individual customer, and then chooses the action that maximizes profit, not just click rates.
This is like a smart design assistant that instantly creates and tweaks ad visuals for you, so your marketing team can test lots of creative ideas without needing a full design team every time.
Think of Sett AI as a supercharged creative assistant for ad teams: you give it a brand, audience, and idea, and it rapidly generates lots of different creative concepts and directions you can explore, refine, and test—like having a giant brainstorming team available on demand.
This is like a smart robot that continuously tests and rearranges your Facebook ad creatives and audiences to show the right ad version to the right person at the right time—without a human having to babysit every campaign.
This is like a truth-detector for AI-made ads: it tests whether commercials created with AI actually work on real people as well as, or better than, traditional ads.
This is like giving a marketing team a super-smart analyst that constantly watches how consumers behave across many channels and then tells brands which partner products to promote, where, and to whom to get the best results.
This is like having a smart financial advisor for your advertising budget: it studies past campaign results and current signals, then tells you where to put the next dollar of ad spend to get the most customers for the lowest cost.
This is like giving your online store a smart salesperson who quietly watches what every shopper browses and buys, groups similar shoppers together, and then shows each group the products and ads they’re most likely to care about.
This is like giving your marketing team a weather forecast for customer behavior. Instead of guessing which campaigns will work, software looks at past data and predicts who is likely to buy, churn, or click next—so you spend money where it’s most likely to pay off.
Think of this as an autopilot for online ads: instead of people manually buying ad space on websites, software and algorithms automatically decide where, when, and to whom to show each ad to get the best results for every dollar spent.
This is like giving your media team a super-smart assistant that looks at all your past campaigns, audience data, and market signals at once, then recommends where to put your ad dollars next to get the best results.
Think of it as an AI-powered stock market for ads: instead of people manually deciding which ads go where, algorithms instantly buy and sell ad space in real time to show the right ad to the right person at the right moment.
Think of AdGen AI as an autopilot for your online ads: you tell it what you’re selling and where you want to advertise, and it writes the ads for you and helps push them live across channels.
Imagine you run an online advertising campaign with loyalty offers to keep customers from leaving. This framework is like a smart calculator that tells you exactly which customers should get which incentive (discount, bonus, free trial) and when—so you keep the most valuable users for the least cost.
Think of this as a much smarter version of programmatic advertising: instead of rigid rules bidding on ad impressions, an AI co‑pilot continuously learns what works best, adjusts bids and targeting in real time, and explains why it’s doing what it’s doing.
Think of your marketing as a sports team where every player (Google Ads, Facebook, email, TV, etc.) helps score sales. These methods figure out which players actually contributed to each goal so you know who deserves more time and money.
Think of this as a two-level robot copywriter for ads. The top level decides the overall message and structure for a product campaign, and the lower level actually writes the specific ad texts (headlines, descriptions, taglines) that fit that plan.
This is like a super-fast digital ad designer that you describe in words. You type what kind of ad you want, and it instantly creates polished ad images and variations for you.
Think of this as an AI co-pilot for Google Ads that watches your campaigns 24/7, learns what works, and automatically adjusts keywords, bids, and ads to get you more clicks and conversions for the same or less spend.