Fireside Chat with Condé Nast International VP for Data & Analytics Chris Austin, Interviewed by James Hewes, FIPP CEO

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By Anisa Holmes   Condé Nast is one of many media companies who are focusing on building a more centralized network for their disparate brands. A major goal within this shift is to standardize all their data platforms; no small task for a global luxury brand with 11 markets and various additional partners. Chris Austin,...
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The Pangaea Alliance: An advertising network of premium publishers creating data-driven advertising success

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By Joanne Kuai   While building a premium publisher advertising network has been challenging, the collective effort has been necessary for the news industry to respond to the threat posed by the tech giants who are generating most of the digital advertising revenues, says Fiona McKinnon, Managing Director of the Pangaea Alliance, November 1 in London...
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Civil’s blockchain-driven monetization model

by Anisa Holmes, City University graduate student “Journalism is facing a crisis of trust,” Christine Mohan, Co-founder of Civil, says, but blockchain technology might just be a solution to journalism’s problems. Civil is a blockchain-powered journalism platform operating in 15 newsrooms today and 100 newsrooms by January. By the end of next year, Civil leaders...
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China’s billion-dollar, AI-driven, mobile-first news operation

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By Scott M. Scher, Columbia University Bytedance, created in 2012 and is the first AI driven media lab, Toutiao- high quality content creation. They are the largest AI platform in China., according to Zhiyi Liu of Bytedance. Their platform creates enhanced exposure for its content producers. The platform technology evaluates content trends. A unique feature...
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Styria Media’s AI transformation

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By Scott M. Scher, Columbia University   Styria started its data team in 2014 and is Croatia’s biggest media company. Styria has split their AI efforts into two parts. AI for classifieds using computer vision and AI for news using natural language processing. Computer vision analyzes image similarity and image classification. With this they have...
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Schibsted’s subscription model predicts purchases, drives conversions with targeting

By Scott M. Scher, Columbia University By using machine learning and AI Schibsted is able to predict likely buyers. This project is based on three key ideas. One, business impact. Two, data science leadership. Three, multi disciplinary team driving results. They used this project to see how user behavior on the site relates to purchasing...
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Globe and Mail: How data and AI are leveraged for better ad revenue

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By Scott M. Scher, Columbia University The Globe and Mail, Canada was established in 1884 and is Canada’s leading newspaper. They have taken a 170-year-old company and built a new foundation on data by creating an advance technology staff.   The purpose of this new foundation is to identify business goals, leverage data, outline audience...
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