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There are many open questions for marketers who want to implement AI-driven adtech […] The post Seeing Through The Hype: The Difference Between AI and MachineLearning in Marketing appeared first on AdExchanger. Your refrigerator and maybe even your toothbrush have AI embedded in them.
As artificial intelligence continues to dominate headlines and industry conversations, confusion still lingers—especially around the relationship between artificial intelligence (AI) and machinelearning (ML). All machinelearning is AI, but not all AI is machinelearning.
But AI has played a major role in adtech for a long time, says Gurman Hundal, Co-Founder and Global CEO at MiQ (which released its own AI-powered platform Sigma earlier this month). It’s really the emergence of consumer-facing Large Language Models (LLMs) which are fuelling the current “big bang” in adtech.
Published July 10, 2025 By Aaron Baar post share post print email license Samsung Ads' Mobile Conversion product allows game publishers to find CTV viewers with a high propensity to download gaming apps using AI and advanced machinelearning. The solution is powered by inventory on Samsung TV Plus. TechTarget, Inc.s
Many ad-tech companies are now turning to automation and artificial intelligence to build even greater efficiency into the media buying journey. More than a demand-side platform There is disintermediation on both the DSP and SSP side of adtech. This can be through cookies or a tracking pixel. Follow @illuminHQ
Invest in Intelligent Automation Tapping into the power of machinelearning and AI can transform platforms into intelligent superpartners. Think for a moment about an SSP powered by machinelearning, which abandons rigid waterfall auctions in favor of real-time impression valuation.
Focus on Carbon-Neutral Data Centers: Brands can partner with adtech vendors and media platforms that utilize renewable energy in their data centers. Implementing frequency caps to limit how often a user sees a particular ad can reduce unnecessary data traffic and improve the user experience.
A Much Older Trend Back in 1936, Alan Turing asked the question: “ Can a machine think? “ Since then, we’ve seen IBM’s Deep Blue beat Kasparov – then Big Data/MachineLearning, and now LLMs. Before that, I worked with a few startups implementing Big Data and MachineLearning data pipelines.
Data science Data takes center stage with insights from predictive modeling, advanced analytics, and machinelearning driving better decisions. Made for marketers Learn how illumin unlocks the power of journey advertising Get started! Follow @illuminHQ
Machinelearning doesn’t understand nuance; it amplifies patterns. That’s why PubMatic is focused on building a supply chain engineered for machinelearning that is built to benefit humans. If your training data includes MFA, fraudulent hops, or noisy supply, you risk optimizing the wrong outcomes. It’s expensive.
Long before the AI hype kicked off in earnest, Eric Schwartz was already working with machinelearning tools to develop optimized adtech products. The post Scibids Alum Eric Schwartz Joins AI Sales Optimization Startup Scowtt As CRO appeared first on AdExchanger.
Generative AI entered the conversion with a bang in 2023 and since then tech giants and advertisers have scrambled to be on the front lines of the latest AI trends. To see more from illumin, be sure to follow us on Twitter and LinkedIn where we share interesting news and insights from the worlds of adtech and advertising.
Mark will lead product strategy and development for Basis’ DSP, leveraging his more than two decades of expertise in programmatic advertising, identity solutions, and machinelearning. Mark has been an adtech product leader at both startups and established corporations.
The role of AI in competitor monitoring and market penetration Modern pricing tools use artificial intelligence and machinelearning to process vast amounts of market data quickly and accurately. Machinelearning continuously refines pricing strategies, ensuring that businesses maintain an edge in both existing and new markets.
Many adtech vendors offer shelter to weather-worn media owners by offering ten-year contracts for their services. Unscrupulous adtech companies have leveraged these hardships to lock publishers into restrictive 10, 15, or even 20-year contracts. Consider the cautionary tale of ad network Rocket Fuel.
When Canadian adtech business StackAdapt announced earlier this year that it had closed a $235 million equity funding round led by Teachers Venture Growth, the news picked up a lot of attention thanks in part to the size of the figure. Obviously AI of one sort or another is present in a wide range of adtech solutions.
Built by machinelearning models rather than production crews, these TV ads promise scale, speed, and efficiency for brands of all sizes. Now, AI tools generate multiple ad variants, each with different visuals, scripts, or calls to action, in just minutes.
Open-source optimization Alaska Airlines has worked with Adswerve since 2020, developing different machinelearning models around advertising and audience data like predicted lifetime value. Adswerve became a certified Meridian partner in January and utilized a rapid, three-month implementation for its work with the airline.
But as Lesser says, GroupM is betting on ‘federated learning’, a machinelearning technique where different entities work together to train a model without sharing their source data with each other.
If AI can personalize emotional support and wellness advice, how long before it handles the pacing alerts, floor pricing logic, or yield recommendations in ad ops? Agents on the Rise I remember someone at a big adtech company telling me that soon, the sell-side agent will connect with the buy-side agent, and voilà—it’s a done deal.
Which adtech vendors deliver the most value to your business? And I’m going to say AI, more in terms of machinelearning, is going to really help power that content discoverability. I think that’s become a bit of a sticking point in a lot of other types of media. I think it’s only going to get bigger.
The restructuring is part of a broader strategic reprioritisation to build a stronger, more profitable company by tightening our focus and simplifying and driving efficiency into our business processes, said the adtech firm. She previously served as CPO of Rokt, and Director of Ads Measurement at Amazon.
He also referenced the challenging market for digital media, and took shots at the “parasitical nature” of the adtech ecosystem (to use his words). Future says Advisor helps optimise ad performance, increases user engagement through content personalisation and recommendation, and powers ecommerce user journeys.
The Week in Tech Vibe Launches AI Tools for SMB Advertisers on CTV Vibe, a streaming TV ad platform for small and medium-sized businesses (SMBs), has launched a suite of AI-driven products for SMBs. It’s the millions of SMBs that hold the key to untapped growth.”
The consultation aims to find privacy-preserving alternatives to the current adtech model, and to explore how publishers can deliver privacy-safe advertising to users who have not given consent, thereby maintaining revenue streams. Her appointment follows the promotion of Christian Russ to Commercial Director DACH & FRITES.
Focus on Carbon-Neutral Data Centers Brands can partner with adtech vendors and media platforms that utilize renewable energy in their data centers. Implementing frequency caps to limit how often a user sees a particular ad can reduce unnecessary data traffic and improve the user experience.
Adtech firm Index Exchange is acquiring Berlin-based Rivr Technologies GmbH. The seven-year-old machinelearning company is focused on better curating the traffic supply-side platforms that Index provides to its buyers. The companies would not share the terms of the deal.
Company continues machinelearning investment and rapid expansion of its technical organization. one of the world’s largest independent ad exchanges, announced its first-ever business acquisition of Rivr Technologies GmbH (Rivr), a Berlin-based company specializing in advanced machinelearning-based traffic optimization capabilities.
Introduction Implementing federated learning in adtech presents unique challenges that require innovative solutions. This article explores the key challenges and potential solutions for integrating federated learning into advertising technology platforms.
Overview of AI and MachineLearning in Compliance Key Points AI can automate data rights management and surface potential regulatory risks. Introduction to AI and MachineLearning AI and ML are transforming various industries, including cybersecurity. Data mapping is crucial for regulatory compliance.
Some of the upgrades include: the expansion of its access to omnichannel ads to help advertisers drive sales both online and in-store, a more simplified checkout experience for its Shops ads in the US and in select international markets, and the introduction of ads on Meta notifications (which are set to launch this Spring).
The latest developments in Google’s adtech, particularly its focus on machinelearning and AI, have significantly altered digital advertising strategies. These advancements enable marketers to improve ad performance, gain valuable insights, and achieve better ROI on their campaigns.
What’s new is that Chalice has “containerized” its machinelearning models, essentially running a virtual version of its bidding algorithm within Index […] The post Can’t Spell Exchange Without Change; ’Soft On AdTech appeared first on AdExchanger.
Tech advancements have significantly influenced the evolution of advertising. Google’s adtech algorithms are at the heart of these advancements. 5 Key Features of Google AdTech Google’s adtech ecosystem is built around several core features that enable advertisers to reach their target audience effectively.
Understanding the Integration of AI and User-Centric Design in AdTech Key Points AI Revolution in UX: The integration of artificial intelligence is reshaping user experience (UX) design, making it crucial to stay updated with AI advancements. This approach not only improves user satisfaction but also enhances the effectiveness of ads.
Innovid added a new machinelearning feature to its measurement product that automatically optimizes CTV campaigns based on how they’re performing. The post Innovid Is Riding The Waves Of AdTech Consolidation With An Eye On CTV Measurement appeared first on AdExchanger.
Index Exchange today acquired machinelearning (ML) specialist Rivr Technologies GmbH in its first business acquisition. Our teams share the same vision and deep passion to build solutions that leverage machinelearning to unlock more insights for media owners and buyers, enabling more efficient campaigns.
This approach allows for the development of robust machinelearning models without compromising user privacy, making it a valuable tool for adtech companies navigating the complexities of data privacy regulations. Adtech companies can use it to create effective ad-targeting models.
Remember, “the adtech ecosystem was never built for privacy,” according to Jamie Barnard, CEO of Compliant. AdTech’s Role in Adapting to Regulatory Changes The revamp of the adtech industry is driven largely by the need to comply with today’s privacy laws.
Enables Integration of the Campaign Performance Platform with Google’s MachineLearning Technologies to Provide Greater Value to Clients Through Combined Technologies and Expertise SAN ANTONIO — AiAdvertising, Inc.
Understanding AI-Driven Personalization Engines in Ad Design Key Points AI personalization engines can significantly enhance ad targeting accuracy by analyzing user behavior and preferences. These engines utilize machinelearning algorithms to optimize ad content, format, and timing to increase user engagement.
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