NLP in Industry: Use Cases, Challenges, & Roadmap with Expert.ai, Verizon, Deepgram & Comcast

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Pratik Biswas, Distinguished Data Scientist & ML Engineer, Verizon
Matthew Lightman, Senior ML Researcher, Deepgram
Martin Polacek, Data Scientist, Comcast

With the digitization of text data accross industries, natural language processing applications are growing rapidly and shifting the limits of possibility for consumers and businesses alike. From voice search to sentiment analysis to text classification and summarization, NLP is emerging everywhere and having a tremendous impact on the way we live our lives. However, getting NLP projects into production is no easy task. This panel of NLP experts will explore use cases, challenges associated with NLP projects, and best practices to help you succeed on your NLP journey.
  1. Ai4
  2. Machine Learning
  3. ML
  4. Artificial Intelligence
  5. AI
  6. Artificial
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