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98 | Making Data-Driven Decisions With AI, A Deep Dive into Data Collection and Analysis with Tianyu Xu

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Manage episode 424204114 series 3456299
Contenu fourni par Isar Meitis. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Isar Meitis ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

Tired of tedious research processes slowing down your business decisions?

We all know the struggle: research is crucial, but time-consuming. Often, it gets sidelined because of our busy schedules. But what if you could leverage AI to transform your research process, making it faster and more efficient?

In this episode of Leveraging AI, Isar Meitis invited Tianyu Xu, founder of the AI consulting agency TYAI and a seasoned market research professional with experience at Twitter, shares his insights on how AI can revolutionize your approach to research.

Join us for a fascinating discussion on practical use cases, the best tools, and the exact prompts you need to supercharge your research capabilities.

In this session, you'll discover:

  • Why AI is a game-changer for research and data analysis.
  • How to use AI tools to handle both primary and secondary research efficiently.
  • The concept of Retrieval Augmented Generation (RAG) and how it ensures data accuracy.
  • Practical steps to analyze and visualize large datasets using AI.
  • The benefits and potential pitfalls of using AI for market research.

Tianyu Xu is the founder of TYAI, an AI consulting agency based in Singapore, serving clients globally. With extensive experience in market research and AI applications, Tianyu is passionate about helping businesses leverage AI to gain actionable insights from their data.

About Leveraging AI

If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

  continue reading

128 episodes

Artwork
iconPartager
 
Manage episode 424204114 series 3456299
Contenu fourni par Isar Meitis. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Isar Meitis ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

Tired of tedious research processes slowing down your business decisions?

We all know the struggle: research is crucial, but time-consuming. Often, it gets sidelined because of our busy schedules. But what if you could leverage AI to transform your research process, making it faster and more efficient?

In this episode of Leveraging AI, Isar Meitis invited Tianyu Xu, founder of the AI consulting agency TYAI and a seasoned market research professional with experience at Twitter, shares his insights on how AI can revolutionize your approach to research.

Join us for a fascinating discussion on practical use cases, the best tools, and the exact prompts you need to supercharge your research capabilities.

In this session, you'll discover:

  • Why AI is a game-changer for research and data analysis.
  • How to use AI tools to handle both primary and secondary research efficiently.
  • The concept of Retrieval Augmented Generation (RAG) and how it ensures data accuracy.
  • Practical steps to analyze and visualize large datasets using AI.
  • The benefits and potential pitfalls of using AI for market research.

Tianyu Xu is the founder of TYAI, an AI consulting agency based in Singapore, serving clients globally. With extensive experience in market research and AI applications, Tianyu is passionate about helping businesses leverage AI to gain actionable insights from their data.

About Leveraging AI

If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

  continue reading

128 episodes

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