Rethinking processes and solutions to grow audiences and build products at New York Times

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By Scott M. Scher, Columbia University The New York Times has a three-fold approach to growing audiences and building products: people, ideas, and things. They developed a centralized organizational structure that acts as a center for excellence. There are three main data teams at the New York Times; Data science- focuses on developing and deploying...
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CNN’s data-powered audience development strategy

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By Scott M. Scher, Columbia University CNN thinks about data in a mission driven way unlike other “algorithms gone wild” organizations. Christopher Herbert, SVP of operations and strategy for CNN Digital, equates this to parenting or “wielding the power of data in a thoughtful way”. CNN mission statement: to be the world’s most essential and...
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Cross analysis site-centric and ad-centric data for maximizing revenue

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Customer targeting criteria should be improved to maximize revenues from content and users, said Cedric Delzenne, Senior Manager and Head of Hong Kong Office of ‎55, The Data Agency. Delzenne described how leading publishers leverage data to optimize ad space monetization through objectives, initiatives, and case studies, at the sixth annual Big Data & AI...
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Audience development accentuates the high quality of journalism

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Editorial analytics, that is tailored in cultures supportive of data-informed decision making, is the gold standard of audience development, said Won Kok Sung, data scientist of Mediacorp, Singapore. There are bespoke tools to address gaps in existing off-the-shelf solutions and specific newsroom needs, said Won, who   believes the industry is moving towards data-centricity. Won...
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Robots are the future to effective customer service

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“Artificial Intelligence can replace humans,” said chatbot startup CEO Gerardo Saladra, “but for creating better-paid jobs for humans.” Salandra, CEO of Rocketbots in Hong Kong, shared his view on AI implementation in media and advertising industry at the sixth annual Big Data & AI for Media  conference in Hong Kong from 7-8 December. Salandra started...
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IBM’s Deep Learning AI boosts content, revenue effectiveness

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Deep Learning is a subset of artificial intelligence that analyzes huge data sets in order to gain deep insights into audience behaviour and help drives automation and revenue results. Deep Learning will be among the cognitive tools to transform media and advertising business, said Samson Tai, Chief Technologist of Hong Kong and China. Tai was...
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Taiwan media giant tailors user experiences—even before you open their newsletter

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With more than 50 Facebook fan pages, nine mobile applications and 10 websites, United Daily News Group of Taiwan has more than 1.1 million readers around the world. Advertisements on social media now account for over 30% of Taiwan’s advertisement Spending Structure, according to Taiwan Digital Marketing Association Report, according to Anson Mok, general manager...
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