This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Understanding Predictive Analytics Key Points Predictive analytics utilizes data mining, predictive modeling, and machinelearning to forecast future behaviors and trends. Challenges in AdTech AI Advertising Complexity in User Data Integration Integrating user data from diverse platforms presents significant challenges in adtech.
Techniques such as machinelearning and AI are increasingly used to identify patterns and predict future behaviors, making the process more efficient and accurate. Additionally, these insights help in reducing ad spend wastage and improving overall campaign effectiveness.
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.
It was a highly inspiring evening at this year’s Top Women In Media & AdTech awards, where we honored 127 amazing women along with our sister brand AdExchanger. While every honoree was top-notch, there were a few that we encourage you to keep an eye out for as they are doing incredible things within media and adtech.
Go-To-Market and machinelearning veterans from AppDirect, Oyster HR, Carta, Zoominfo and NASA, launch the first and most powerful agentic AI platform dedicated to go-to-market SAN FRANCISCO — Landbase, the world’s first agentic AI platform specifically designed for go-to-market, today exited stealth with $12.5M in seed funding.
Federated learning trains models across multiple decentralized devices. Combining these technologies enhances privacy in machinelearning. Challenges in AdTech: Privacy Concerns Data Privacy in Advertising In the advertising technology (adtech) industry, data privacy is a significant concern.
In terms of improving the overall effectiveness of targeted advertising, machinelearning (ML) and artificial intelligence (AI) hold a lot of promise. We see the limitless potential for machinelearning in digital advertising. Machinelearning will continue to play a huge role across adtech in 2019,” Lyons predicts.
Buying AI adtech startup Scibids is a logical move for DoubleVerify as it continues to move beyond measurement into media activation and campaign optimization. The post Why DoubleVerify Is Nabbing Scibids, An AdTech Company That Makes Customizable AI appeared first on AdExchanger.
(OTC: AIAD), a next-generation AdTech company focused on harnessing the power of artificial intelligence (AI) and machinelearning (ML) for today’s marketing leaders, announced today it will deploy the automated ChatGPT (Chat Generative Pre-Trained […] The post AiAdvertising Announces Implementation of ChatGPT from OpenAI appeared first (..)
Understanding Federated Learning in AdTech Key Points Federated learning allows multiple devices to contribute to machinelearning models without sharing the data itself, enhancing privacy. Frequently Asked Questions What is federated learning? How does federated learning enhance privacy?
With a further dozen pending, Yieldmo’s patents cover omnichannel creative format technology and machine-learning driven inventory curation and scoring, and highlights the unique value the company delivers to the ad industry NEW YORK — Yieldmo, the smart advertising exchange that differentiates and enhances the value of ad inventory for buyers (..)
In the fast-evolving world of adtech and AI advertising, cross-channel programmatic advertising has emerged as a powerful strategy to optimize ad performance and leverage AI for marketing insights. RTB allows advertisers to bid for ad impressions in real-time, ensuring that their ads are shown to the most relevant audience.
Life Imitates Art: The Start of Her Career Andrew Byrd: Can you tell me how you started your career in adtech? Our data strategy involves exploring machinelearning, AI, audience taxonomies, and datasets, as well as partnering with different data providers to reach our intended audience deterministically.
Luckily, AI and machinelearning are revolutionizing how advertisers understand video ad performance. 8 Innovative Ways AI and MachineLearning are Changing Video Advertising Metrics 1. As a result, youll find it easier to create more compelling video ads that maximize engagement rates.
Future Trends in Digital Advertising The future of digital advertising is evolving rapidly, with new technologies and strategies emerging to address challenges like ad fatigue.
By leveraging machinelearning algorithms, AI can forecast the likelihood of various cyber threats, enabling organizations to take preemptive measures. AI predictive analytics works by using machinelearning algorithms to analyze historical data and identify patterns that indicate potential threats.
is an updated version of AppLovin’s AI-powered adtech software. It was released last year and relies on predictive machinelearning to target app-install ads to the users most […] The post A (Tiny) Peek Inside The Black-Box Algorithm Driving AppLovin’s Business appeared first on AdExchanger.
Real-time anomaly detection systems often employ machinelearning algorithms to analyze data patterns and identify deviations. As digital advertising increasingly relies on AI and machinelearning to deliver personalized ads, there is a growing concern about the collection and use of user data.
Key Takeaways Quality and Transparency Drive Success: The adtech space is shifting its focus toward high-quality, clear performance metrics, and operational transparency. Publishers who embrace these principles are likely to thrive in the evolving adtech landscape.
Integrating real-time AI monitoring into ad platforms helps maintain high standards of transparency and accountability, crucial for building trust among advertisers and publishers. Thanks to machinelearning capabilities, the technology not only detects known fraud tactics but also adapts to new and evolving strategies used by fraudsters.
Top Stories Amazon Launches Self-Service CTV Ads for UK SMEs Amazon has launched a self-service ad product for small and medium-sized brands in the UK, allowing them to run campaigns on Twitch, as well as third-party streaming TV apps on Fire TV. The Week in Tech Adelaide Acquires Insights Business Rita Following $1.4
Marketing attribution and predictive analytics platforms are software that employ sophisticated statistical modeling and machinelearning to evaluate the impact of each marketing touch a buyer encounters along a purchase journey across all channels, with the goal of helping marketers allocate future spending.
AI already plays a big role in adtech, and the potential is certainly there for generative tools to add value. But understanding the AI opportunity also means understanding AI’s risks and limits, says Vova Kyrychenko, CTO adadtech/martech software development business Xenoss.
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
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content