Drive CX and Revenue with NLP in marketing and ecommerce, E26

Applied AI Pod

• 01:25 - Do NLP models need someone that is not completely monolingual?
• 05:20 - Types of NLP in marketing and/or e-commerce.
• 11:30 - Challenges in the e-commerce space: Behavioural data gathered by cookies has disappeared.
• 16:00 - Every 40 seconds, our attention breaks. Is that fact taken into account in NLP modeling for personalization?
• 18:20 - Models like GPT-3 open a whole new commercialization avenue in the marketing world, specifically for content creation. Impact of the wave.
• 21:50 - Is it fair to use an AI model for IP and content in such a way you influence millions of users on a website at once?
• 30:45 - Explainable models, debugging and how models could function.
• 37:00 - Provocative contexts for data scientists nowadays.
• 41:00 - Future of NLP.

Episode references:

• GPT3 the beginning of a new app ecosystem
• Amazon makes Alexa Conversations generally available to developers
• Copy.AI and Taglines.AI based on GPT3. Other spinoffs in the same space: Copy Shark; Snazzy AI; experiments using platforms like VWO.
• Explainable models by DARPA
• NLP in Marketing, part 1
• How virtual assistants (i.e. in your smartphone) understand you
• AI and NLP in marketing, webinar
• Katherine's Linkedin
• Katherine's Twitter
• Bucharest AI's meetup on Gender Imbalance, AI Mentorship & good delivery in AI