Keynote: NLP Trends and Investments
summary
Claims that humans send 19 billion text messages a day and generate 4 petabytes per day to justify rapid NLP demand, with the NLP market at about $12B now and projected to reach $31B by 2026. Highlights practical wins: Primer’s command.ai for security, Gong’s $500M in sales-call analytics, Alexa/Replica examples for speech and companionship, and tasks like disinformation detection, labeling, transcription and translation. Explains concrete methods (Naive Bayes for sentiment, vector embeddings and cosine similarity) and a rollout path: data discovery, POC, API-first platforms and executive buy-in.
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chapters (12)
- 0:00Intro
- 0:10About Aarthi
- 0:22About Lena
- 0:53Event Outcomes
- 1:20Data Generation
- 2:53Natural Language Processing
- 3:36Natural Language Generation
- 7:57Investments in NLP
- 8:55Areas of growth
- 11:15How it works
- 15:13Different types of algorithms
- 15:49Explore NLP as a service
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