Quantcast uses machine learning and AI to take on walled garden giants in the fight for the open internet – SiliconANGLE News
Media and publishing used to be the domain of specialized companies who controlled the content. The internet broke that model, and today anyone can go online and publish a blog, a podcast, or star in their own video.
But the big tech companies want to take control, closing content into walled gardens. But thats not what the majority of publishers, big or small, want.
We get to hear the perspectives of the publishers at every scale, and they consistently tell us the same thing: They want to more directly connect to consumers; they dont want to be tied into these walled gardens which dictate how they must present their content and in some cases what content theyre allowed to present, said Dr. Peter Day (pictured, right), chief technology officer at Quantcast Corp.
Day and Shruti Koparkar (pictured, left), head of product marketing at Quantcast, spoke with John Furrier, host of theCUBE, SiliconANGLE Medias livestreaming studio, duringThe Cookie Conundrum: A Recipe for Success event. They discussed the importance of smart technology for the post-cookie future of digital marketing. (* Disclosure below.)
Quantcast has cast itself as a champion of the open internet as it sets out to find the middle ground between the ability to scale provided by walled gardens and access to individual-level user data. Urgency for the quest is provided by Goliath company Google, which announced it will no longer be supporting third-party cookies on its Chrome browser as of January 2022.
Our approach to a world without third-party cookies is grounded in three fundamental things, Koparkar stated. First is industry standards: We think its really important to participate and to work with organizations who are defining the standards that will guide the future of advertising, Koparkar said, naming IAB Technology Laboratorys Project Rearc and Prebid as open projects Quantcast is involved with.
The companys engineering team also participates in meetings with the World Wide Web Consortium (W3C) to keep on top of what is happening with web browsers and to monitor what Google is up to with its Federated Learning of Cohorts (FLoC) project.
The second fundamental principle to Quantcasts strategy is interoperability. With multiple identity solutions from Unified ID 2.0 to FLoC already existing, and more on the way, We think it is important to build a platform that can ingest all of these signals, and so thats what weve done, Koparkar said referring to the release of Quantcasts intelligent audience platform.
Innovation is the third principle. Being able to take in multiple signals, not only IDs and cohorts, but also contextual first-party consent, time, language, geolocation and many others is increasingly important, according to Kopackar.
All of these signals can help us understand user behavior, intent and interests in absence of third-party cookies, she said.
But these signals are raw, messy, complex and ever-changing. What you need is technology like AI and machine learning to bring all of these signals together, combine them statistically, and get an understanding of user behavior, intent and interest, and then act on it, Koparkar stated. And the only way to bring them all together to obtain coherent understanding is through intelligent technologies such as machine learning, she added.
The foundation of our platform has always been machine learning from before it was cool, Day said. Many of the core team members at Quantcast have doctorate degrees in statistics and ML, which means it drives the companys decision-making.
Data is only useful if you can make sense of it, if you can organize it, and if you can take action on it, Day said. And to do that at this kind of scale its absolutely necessary to use machine learning technology.
Watch the complete video interview below, and be sure to check out more of SiliconANGLEs and theCUBEs coverage of The Cookie Conundrum: A Recipe for Success event. (* Disclosure: TheCUBE is a paid media partner for The Cookie Conundrum: A Recipe for Success event. Neither Quantcast Corp., the sponsor for theCUBEs event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Show your support for our mission with our one-click subscription to our YouTube channel (below). The more subscribers we have, the more YouTube will suggest relevant enterprise and emerging technology content to you. Thanks!
Support our mission: >>>>>> SUBSCRIBE NOW >>>>>> to our YouTube channel.
Wed also like to tell you about our mission and how you can help us fulfill it. SiliconANGLE Media Inc.s business model is based on the intrinsic value of the content, not advertising. Unlike many online publications, we dont have a paywall or run banner advertising, because we want to keep our journalism open, without influence or the need to chase traffic.The journalism, reporting and commentary onSiliconANGLE along with live, unscripted video from our Silicon Valley studio and globe-trotting video teams attheCUBE take a lot of hard work, time and money. Keeping the quality high requires the support of sponsors who are aligned with our vision of ad-free journalism content.
If you like the reporting, video interviews and other ad-free content here,please take a moment to check out a sample of the video content supported by our sponsors,tweet your support, and keep coming back toSiliconANGLE.
See the article here:
Quantcast uses machine learning and AI to take on walled garden giants in the fight for the open internet - SiliconANGLE News
- Machine Learning Links Metabolic and Inflammatory Shifts to Age-Related Hearing Loss - Bioengineer.org - November 13th, 2026 [November 13th, 2026]
- Evaluation of machine learning-based prediction of pregnancy complications and adverse birth outcomes using routine data - Nature - November 13th, 2026 [November 13th, 2026]
- Machine Learning Identifies Palmitoylation Biomarkers and Candidate Repurposed Drug in Lung Cancer - Bioengineer.org - November 13th, 2026 [November 13th, 2026]
- Machine Learning Identifies Changing Predictors of Medication Experience in Schizophrenia - Bioengineer.org - November 13th, 2026 [November 13th, 2026]
- Machine Learning Predicts Nuclear Reactor Containment Seismic Demands With Explainable Models - Bioengineer.org - November 7th, 2026 [November 7th, 2026]
- Explainable Machine Learning Identifies Predictive Thresholds Governing Urban Heat Island Dynamics - Bioengineer.org - November 7th, 2026 [November 7th, 2026]
- Machine learning reshapes yeast enzyme to favor a stubborn aldehyde and survive heat - Bioengineer.org - November 7th, 2026 [November 7th, 2026]
- Machine learning and winter storm predictions to be the focus of Nov. 6 talk - The Pennsylvania State University - November 3rd, 2026 [November 3rd, 2026]
- Zelims ZOE Taps AI, Machine Learning to Enhance S&R Operations - Marine News Magazine - November 3rd, 2026 [November 3rd, 2026]
- From Meters to Machine Learning: Building AI-Ready Utilities in India - CSIS | Center for Strategic and International Studies - October 30th, 2026 [October 30th, 2026]
- SPINE: A machine-learning program is on the trail of ghost particles - Phys.org - October 30th, 2026 [October 30th, 2026]
- Identification of ferroptosis-related key genes influencing synovitis development in osteoarthritis based on machine learning - Nature - October 30th, 2026 [October 30th, 2026]
- Machine learning simulations reveal how plastic transforms into hard carbon - EurekAlert! - October 30th, 2026 [October 30th, 2026]
- Machine learning predicts wastewater aeration efficiency, but only when data stay close to home - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning reveals when changing shot direction pays off in elite tennis - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning and blockchain team up to cut supply chain costs and carbon - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning simulations uncover how plastic transforms into hard carbon - Open Access Government - October 30th, 2026 [October 30th, 2026]
- Machine Learning Surrogates Predict Wing Aerodynamics and Stress in Seconds - bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Kernel-Tuned Machine Learning Pushes Network Intrusion Detection Toward 99% Accuracy on Benchmark Data - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning and water quality indices reveal monsoon pollution hotspots in Odishas Baitarani River - bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine Learning Predicts ICU Deaths in PAD Patients, but Hemodynamics Add Little - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Stacked machine learning pairs ultrasound and Raman spectra to flag thyroid cancer - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine Learning and Entropy Indices Reveal Most Mahanadi Water Near Paradip Unfit to Drink - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning simulations trace how plastic turns into hard carbon atom by atom - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- My Machine Learning Pipeline Cheated, and Cross-Validation Never Noticed - Towards Data Science - October 26th, 2026 [October 26th, 2026]
- Machine learning predicts next-year fitness assessment failure in university students - Bioengineer.org - October 26th, 2026 [October 26th, 2026]
- Serrated Airfoils Reshape Stall Behavior in CFD, Wind Tunnel and Machine Learning Study - Bioengineer.org - October 26th, 2026 [October 26th, 2026]
- Applications of artificial intelligence and machine learning in food processing, quality control, and food safety: a critical review - Nature - October 26th, 2026 [October 26th, 2026]
- Machine-learning simulations reveal how sodium batteries form their protective interface - Bioengineer.org - October 26th, 2026 [October 26th, 2026]
- Reimagining demand forecasting at Bayer with AI and machine learning - Supply Chain Management Review - September 28th, 2026 [September 28th, 2026]
- What Is Machine Learning Fairness? What You Need to Know - Coursera - September 28th, 2026 [September 28th, 2026]
- Howard University Hosts Machine Learning Symposium in Collaboration with Amazon Web Services - The Dig at Howard University - September 26th, 2026 [September 26th, 2026]
- Machine learning helps identify chemicals that repel honey bees from pesticides - University of California, Riverside - September 26th, 2026 [September 26th, 2026]
- Machine Learning Hunts Down Hidden Gene Switches Across the Fungal Tree of Life - Bioengineer.org - September 26th, 2026 [September 26th, 2026]
- Integrated Quantum Technologies Advances ICA Research for IEEE Secure and Trustworthy Machine Learning Conference Submission - TMX Newsfile - September 26th, 2026 [September 26th, 2026]
- I surprisingly don't hate the Logitech Blue Yeti 2's use of machine learning - Yahoo Tech - September 26th, 2026 [September 26th, 2026]
- LANDR expands AI fraud detection built with machine learning lab Mila and says artificial streams flagged by Spotify for music it distributes fell... - September 26th, 2026 [September 26th, 2026]
- University Of California Machine Learning Spots Scents Bees Avoid In Real Fields - Quantum Zeitgeist - September 26th, 2026 [September 26th, 2026]
- Inside the AI Investing Think Tank: How Machine Learning Drives Modern Financial Research - Rebellion Research - September 26th, 2026 [September 26th, 2026]
- New machine learning methods set to improve forecasts - University of Reading - September 24th, 2026 [September 24th, 2026]
- What this machine learning model boasting 65% accuracy says is coming next for the 10-year Treasury - MarketWatch - September 24th, 2026 [September 24th, 2026]
- Quantitative Investment Strategies: Institutional Architecture and Machine Learning Alpha in 2026 - Rebellion Research - September 24th, 2026 [September 24th, 2026]
- Machine learning forecasts suggest a concentration paradox in international student mobility to the United Kingdom - Nature - September 22nd, 2026 [September 22nd, 2026]
- Machine learning model distinguishes levels of psychological resilience in health care workers with 75% accuracy - Medical Xpress - September 22nd, 2026 [September 22nd, 2026]
- How Machine Learning Is Changing the Way We Inspect the Railway - Railway-News - September 22nd, 2026 [September 22nd, 2026]
- Microsoft file patent for a machine learning system that would "train" itself on your playtime to work out when you'll be least annoyed by... - September 22nd, 2026 [September 22nd, 2026]
- Quantitative Finance Conferences NYC 2026: The AI and Machine Learning Summit Guide - Rebellion Research - September 22nd, 2026 [September 22nd, 2026]
- Nanoparticle Electrode and Machine Learning Team Up to Catch Toxic Lead and Cadmium in Water - Bioengineer.org - September 22nd, 2026 [September 22nd, 2026]
- Cosmic tensions: can machine learning find a fairer story of the universe - Times of Malta - September 22nd, 2026 [September 22nd, 2026]
- Lessening the shock of defibrillation with machine learning - AIP.ORG - September 17th, 2026 [September 17th, 2026]
- Algorithmic Stock Picking: The Architecture of Machine Learning Alpha in 2026 - Rebellion Research - September 17th, 2026 [September 17th, 2026]
- Canada is pushing ahead with machine learning to improve medical diagnostics - Digital Journal - September 17th, 2026 [September 17th, 2026]
- How researchers use machine learning to re-create chirps and trills produced by forest insects when Dinos - The Times of India - September 15th, 2026 [September 15th, 2026]
- Machine Learning Reshapes Credit Scoring - Communications of the ACM - September 13th, 2026 [September 13th, 2026]
- Machine Learning With Threshold Optimization Could Help Reduce Unnecessary Appendectomies in Adults - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Information Theory Meets Machine Learning to Catch Industrial Cyberattacks - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Gets a Robustness Boost by Turning Labels into Preferences - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Meets X-Rays to Reveal the Hidden Architecture of Pea Seeds - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Predicts Which Women Will Face Early Ovarian Failure Within Three Years - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Cracks the Code of Nitinol Wear, a Metal That Remembers Its Shape - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Using machine learning to see how living brains learn - The University of Utah - September 8th, 2026 [September 8th, 2026]
- Applying causal machine learning to assess and improve cleantech policy design - Nature - September 8th, 2026 [September 8th, 2026]
- Frontier Tech Leaders Programme Celebrates First Machine Learning Bootcamp Graduation and AI for Sustainable Tourism Hackathon in Angola - United... - September 8th, 2026 [September 8th, 2026]
- From the Knowledge to machine learning: Wayve takes AI driving to London - IOT Insider - September 8th, 2026 [September 8th, 2026]
- Algorithm optimizes machine learning techniques that use linear, tunable resistor networks - AIP.ORG - September 2nd, 2026 [September 2nd, 2026]
- Math Modeling Seminar: Applications of Topological Data Analysis and Machine Learning Models in Predictive Biology and Drug Discovery | Events | RIT -... - September 2nd, 2026 [September 2nd, 2026]
- UC Berkeley Announces New Professional Graduate Degree in AI and Machine Learning - University of California, Berkeley - August 25th, 2026 [August 25th, 2026]
- DedeepyaYarraand the rise of Trustworthy AI: Where Machine Learning meets cybersecurity - India.com - August 25th, 2026 [August 25th, 2026]
- Machine learning smooths the road from idea to real-world climate impact - EurekAlert! - August 18th, 2026 [August 18th, 2026]
- Chris Latham Interviews Henry Zelikovsky, Founder & CEO of Softlab360: Successful Applications of AI/Machine Learning in Wealth Management -... - August 18th, 2026 [August 18th, 2026]
- Integrated data and machine learning transform lung cancer diagnosis and treatment - Bioengineer.org - August 18th, 2026 [August 18th, 2026]
- Machine learning accelerates climate solutions from ideas to real-world impact - Bioengineer.org - August 18th, 2026 [August 18th, 2026]
- Identification of weight loss predictors using machine learning approaches in adolescents with obesity - Nature - August 16th, 2026 [August 16th, 2026]
- Quantitative Hedge Fund Strategies: The Machine Learning Revolution of 2026 - rebellionresearch.com - August 16th, 2026 [August 16th, 2026]
- Healthcare Machine Learning Hits Production Scale as Governance Falls Behind, Black Book's Fourth Annual Report Finds - bhpioneer.com - August 16th, 2026 [August 16th, 2026]
- Machine Learning Identifies Predictors of Weight Loss in Adolescents With Obesity - Bioengineer.org - August 16th, 2026 [August 16th, 2026]
- How AI is changing hurricane forecasting as scientists track storms with machine learning - Gulf Coast News and Weather - August 12th, 2026 [August 12th, 2026]
- Scalable prediction of suicidal risk in university students: a three steps machine learning approach in university settings - Nature - August 12th, 2026 [August 12th, 2026]
- Identification of critical brain regions for young adults with obesity and their relationships with impulsivity using machine learning based on... - August 12th, 2026 [August 12th, 2026]
- UNIVERSITY OF ALBERTA Drones and machine learning team up to map forest soil health - Education News Canada - August 12th, 2026 [August 12th, 2026]