A Conversation with Horizon’s CEO
Bill Koenigsberg talks about the future of media, the crisis in Ukraine and how Horizon is getting staff back into the office.
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big data
- Past Event Highlights
- Article
Big Data and Converging TV — What Role Can Deterministic Panels Play in Unlocking Opportunity? (Event Summary)
Return Path Data. Set Top Box Data. Millions of Consumer Devices. Server Logs. In an era where big data is being tapped for decision making, and each source has a limited and often unrepresentative view, what is the role of a representative panel? What will and should panels look like in the future? After all, TV is converging with digital, the rise of CTV has ushered in content and marketing opportunities for businesses, and consumers have decision-making power unlike ever before. At this ARF Insights Studio, industry leaders Jane Clarke (CIMM), Pete Doe (Xandr), Mainak Mazumdar (Nielsen) and Paul Donato (ARF), discussed where single source panels may fit in the media measurement landscape of the future and how they can work alongside big data to benefit both.
Member Only AccessCMO Briefs: Understanding Biases in Panel and Census Research Using AI/ML
Numerous bias types can impact panel and census research. Artificial intelligence (AI) and machine learning (ML) algorithms can perpetuate them. This is true of surveys, panels and the big data sets that are often used to calibrate each other. The following report touches on some of the biases that can occur, where they may affect panel and census research that use AI/ML and mitigation efforts to account for them. Read the article.
KaH: Understanding Biases in Panel and Census Research Using AI/ML
Numerous biases can impact panel and census research. While some believe that artificial intelligence (AI) and machine learning (ML) offer easy ways to circumvent them, the truth is, algorithms can perpetuate such biases. This is true of surveys, panels and the big data sets that are often used to calibrate each other. The following report covers the numerous biases that can occur, where they may infiltrate panel and census research that use AI/ML and mitigation efforts to account for them. Read the article.
- Research & Data Quality
- Article
Understanding Biases in Panel and Census Research Using AI/ML
There are a number of different biases that can impact panel and census research and big data sets which utilize artificial intelligence (AI) or machine learning (ML). The attached Knowledge at Hand identifies over two dozen unique biases. It discusses how they might occur and what mitigation options researchers should consider to account for them.
Member Only Access
- Analytics & Data Science
- Article
Making AI-Driven Creative Less Creepy and More Trustworthy
One might expect consumers to respond differently to ads created using artificial intelligence. But what’s behind these differences? Using multiple scales, a new study examines various factors that drive people’s reactions. Its findings can inform smart AI-ad creation and strategies.
Member Only AccessNYCU: Don’t Use Big Data as a Crutch!
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on the upper right of the web site or create an account to view this page.NYCU: Much Ado About TikTok
The popular TikTok app is owned by ByteDance, a Chinese multinational internet technology company. Three articles address the recent controversies about a possible ban.
- Past Event Highlights
- Article
ARF NxNE- Leveraging Human Psychology to Build Brands and Sales (Event Summary)
NxNE presented a week of virtual sessions that was originally planned to be presented at SXSW 2020. Experts from brands, creative agencies and academia shared insights to help influence behavior, build brands and navigate the new normal. Editor’s Note: The full summary is available to members only.
Member Only AccessCMO Brief: 2019 Organizational Benchmark Survey, The Advertiser Report
Advertising and market research have seen significant changes in the last couple of years. ARF members have been inquiring about different aspects of these changes. To answer their questions, the ARF Analytics Council developed the very first Organizational Benchmark Survey of the industry. The aim was to see how companies collect research data, what departments conduct research, how they organize around research and data, and, if small advertisers differ from large ones. Read more.