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DataFramed

[AI and the Modern Data Stack] #181 Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpot

Feb 19, 2024
41:22
Snipd AI
CTO at Mode & Field CTO at ThoughtSpot, Benn Stancil, discusses the counter-intuitive success of AI-assisted coding in analytics workflows. He explores the potential of generative AI in problem-solving, future analytics workflows, and AI systems providing qualitative data. The podcast delves into the impact of AI on analytics, the evolution of data tools, and the necessary skill sets for data practitioners in the era of large language models.
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Podcast summary created with Snipd AI

Quick takeaways

  • Generative AI tools are revolutionizing analytics workflows by assisting in data work and problem-solving.
  • AI's potential for unpredictable innovations in data analytics requires analysts to adapt and leverage AI capabilities effectively.

Deep dives

The potential of AI to bring about unexpected and weird changes

AI, especially large language models (LLMs), have the potential to usher in unprecedented and unpredictable changes. Just like the iPhone brought about new and unimaginable applications like TikTok, AI could lead to innovations that we can't currently conceive. LLMs, with their creative and open-ended nature, can go beyond simple tasks like chatbots and offer unexpected and unconventional solutions. As we further explore AI's capabilities, our understanding will expand and new ideas will emerge.

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