Welcome to episode 142 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today's guest is Anne Bauer, Director of Data Science and Anna Coenen, Lead Data Scientist at the New York Times. Established in 1851, The New York Times is dedicated to helping people understand the world through on-the-ground, expert and deeply reported independent journalism. Their mission is to seek the truth and help people understand the world.
This mission is rooted in their belief that great journalism has the power to make each reader’s life richer and more fulfilling, and all of society stronger. At The Times, this mission and values guide the work they do every day. By acting in this spirit, they serve readers and society, ensure the continued strength of their journalism and business, and foster a healthy and vibrant Times culture.
In the show, Anne and Anna will discuss:
How they got involved in Data Science
Using personalisation and recommendations to improve the reader experience
The role of data governance in increasing effective marketing and advertising
Interesting projects the Data Science team are working on
How Data Science and Machine Learning has evolved within the company
Exciting opportunities within New York Times
What they love about their job
To find out more about Anna & Anne and the work they do at the New York Times, check out the website www.nytimes.com or follow them on Twitter @nytimes. You can also connect with Anne and Anna on Linkedin.
What did you think of Anna and Anne's podcast? Where do you see the future of AI and Data Science heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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