Historically, computers haven’t been particularly good at determining user intent from real-world language inputs.  However, the advancement of natural language processing technologies, like ChatGPT, has led to remarkable improvements in AI systems' accuracy in responding to human queries. In this episode, Amit Prakash, Co-founder of ThoughtSpot, discusses the development of AI and the accountability required to make it ready for daily use.

Tune in to learn:

What was the problem Amit was trying to solve when he co-founded ThoughtSpot? (04:48)
When did Amit first start looking at ChatGPT and natural language processing? (08:16)
Why did ChatGPT explode in 2023? (21:00)
Is ChatGPT ready for important work and research? (31:26)
Will ChatGPT spell the end of platforms like ThoughtSpot? (32:41)

Mentions: 

• Elements of Programming Interviews: The Insiders' Guide, By Adnan Aziz, Tsung-Hsien Lee, Amit Prakash
• Elements of Programming Interviews in Java: The Insider's Guide, By Adnan Aziz, Tsung-Hsien Lee, Amit Prakash
• Elements of Programming Interviews in Python, By Adnan Aziz, Tsung-Hsien Lee, Amit Prakash
• Alan Watts
• More coming soon!

Follow Amit on Substack and view his series of blogs on ChatGPT and LLMs. https://amit.thoughtspot.com/

Get even more insights from data and analytics leaders like Amit on The Data Chief.  

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Hear more from Cindi Howson here. Sponsored by ThoughtSpot.