Muhammed Ahmed spoke with us on the AI in Retail & Marketing Stage at the AI Applications Summit in April 2021:
Mailchimp is the world’s largest marketing automation platform. Over a billion emails are sent everyday by users through the platform. This mass of marketing text data creates lots of opportunities to leverage natural language processing to improve and create content for users. Like many natural language processing (NLP) practitioners, data scientists at Mailchimp have found annotating text data to be costly, time consuming, and in some cases legally prohibited. So how do they work around it? We’ll do a deep dive into how Mailchimp uses state-of-the-art NLP models and unlabeled data to cold start NLP products. We’ll cover its data-centric (over model-centric) approach and how it positions its products to facilitate a data flywheel.
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