Machine Learning

AdTheorent Wins “Machine Learning Innovation Award”


2022 Marks AdTheorent’s Fifth Consecutive AI Breakthrough Awards Win

AdTheorent Holding Company, Inc. (“AdTheorent” or the “Company) (Nasdaq: ADTH), a leading programmatic digital advertising company using advanced machine learning technology and privacy-forward solutions to deliver measurable value for advertisers and marketers, today announced that it has been selected as the winner of the “Machine Learning Innovation Award” in the 5th annual AI Breakthrough Awards program conducted by AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market today. This is AdTheorent’s fifth consecutive year being honored with an AI Breakthrough Award.

AdTheorent is a digital media platform that focuses on performance-first, privacy-forward methods to execute programmatic digital advertising campaigns, serving both brand and agency customers. AdTheorent’s Data Science team builds custom machine learning models for each campaign goal and AdTheorent’s Machine Learning platform, Platform A\T, uses historic and real-time data to predict which of the billions of available digital ad impressions will yield future consumer conversion actions.

AdTheorent’s platform uses ML and data science to identify ad impressions with the highest likelihood of converting on a client’s desired action — whether an online action or a physical world action such as store visitation. AdTheorent Predictive Advertising is not reliant upon third party data licenses, cookies, device IDs or any of the new unified or individualized IDs. Instead, the platform ingests statistical and non-individualized data attributes in each bid request and machine learning models inform real-time media buying decisions. AdTheorent’s privacy-forward approach to digital advertising and its ability to drive advanced business outcomes for advertisers sets the company apart from others in the industry.

“AdTheorent brings a foundationally different method to targeting digital ads allowing us to drive superior performance for our customers. We drive customer KPIs more efficiently and effectively, and we do it in the most privacy-forward manner available,” said Jim Lawson, CEO of AdTheorent. “AdTheorent predictive advertising is the future of programmatic digital advertising, using non-individualized data signals to drive important business outcomes for our customers, including prescription fills, online and offline sales, visitation, new customer acquisition, complex form-fill and application completes, vehicle sales lift, donations, insurance quote completes and many more. We are honored to be recognized with this AI Breakthrough Award.”

The mission of the AI Breakthrough Awards is to honor excellence and recognize the innovation, hard work and success in a range of AI and machine-learning related categories, including AI platforms, Deep Learning, Smart Robotics, Business Intelligence, Natural Language Processing, industry specific AI applications and many more. This year’s program attracted more than 2,950 nominations from over 18 different countries throughout the world.

“Regulatory and industry changes which disfavor individualized and user profile-based advertising are further accelerating demand for privacy-forward solutions. However, driving digital conversions based on client-specified KPIs is like searching for one needle in many, many haystacks. Machine learning and data science can make this possible,” said James Johnson, managing director, AI Breakthrough. “AdTheorent’s ability to use advanced, privacy-forward machine learning to deliver on complex KPIs for advertisers is a huge differentiator. Without relying on sensitive or individualized personal data for targeting AdTheorent is able to drive tangible business outcomes for their customers. Congratulations on being our choice for the ‘Machine Learning Innovation Award.'”

AdTheorent’s Platform A\T identifies the data attributes or combinations thereof which are present most often when there is a conversion – this may be device type, keywords in the URL or page content, geographic data, or one of close to 700 other data attributes. Using historic conversion data, the platform can determine the likelihood that each specific bid request will drive the client’s desired outcome. As the ML platform ingests more conversion data, it learns and optimizes campaign delivery, driving both conversion performance and cost efficiencies.

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