Interview with Rana Gujral
summary
Defines cognitive AI as a self-learning adaptive model that mimics human thought by reasoning over unstructured data rather than relying on fixed rules, and lists concrete techniques used: data mining, pattern recognition, NLP and NLU. Gives deployment examples with traction in call centers and broader human‑machine conversation work, and notes active use in national security applications. Advises learning Python/R and building a small personal project to apply core ML tools.
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chapters (4)
- 0:00Start
- 0:12Could you tell me uh the difference between cognitive AI and the more traditional AI models that we've been seeing?
- 1:26What fields have cognitive AI broken into so to say and What fields do you see having the greatest potential to break into soon?
- 3:09What would be your advice to budding entrepreneurs who want to break into the field of AI, or
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