Join DSI’s iCubed Seminars to learn about real-world applications of data science in the industry.
Guest Speaker
Manisha Verma, Tech Lead in CreativeX, Ads at Amazon
Moderator: Jessica Rodriguez, Assistant Director of Strategic Partnerships, Data Science Institute
Event Details
Tuesday, April 16, 2024 (3:00 PM – 4:00 PM ET) – In-Person Only
Location: Armen Avanessians Data Science Institute Conference Room
Address: Northwest Corner Building, 14th Floor – 550 W 120th St, New York, NY 10027
Talk Information
Automating Ad Design with the Latest Advances in Machine Learning
Creative design is one of the key components of generating engaging content on the web. E-commerce websites need eye-catching product descriptions, social networks require user posts to have different types of content such as videos, images and hashtags, and traditional media formats such as blogs require content creators to constantly innovate their writing style, and choice of content they publish to engage with their intended audience. Designing the right content, irrespective of the industry, is a time consuming task, often requires several iterations of content selection and modification. Advertising is one such industry where content is the key to capture user interest and generate revenue. This motivates companies to hire marketing specialists to design content but this process is tedious and iterative which limits the amount of content that can be produced manually. In this talk, we summarize our work focused on automating ad design with latest advances in machine learning.
Manisha Verma is a Scientist at Amazon, NYC. She completed her PhD from University College London. Some of her recent work has been published at conferences such as WWW, RecSys, CIKM, WSDM and SIGIR. Over the past few years, she has worked with researchers at Google, Microsoft and Yahoo on improving advertisements. She has served on the program committee for WWW’22, SIGIR’21, ECIR’21, NAACL’20, NeuroIR17, DSHCM’17/’18, LearnIR’18 and CIKM’21.