• How To Get Right Data Prepared For Generative AI, with Swetha Devabhaktuni (Head of Data & Analytics at Synechron)

  • 2025/04/23
  • 再生時間: 28 分
  • ポッドキャスト

How To Get Right Data Prepared For Generative AI, with Swetha Devabhaktuni (Head of Data & Analytics at Synechron)

  • サマリー

  • In this episode of Data Analytics Chat, we welcome Swetha Devabhaktuni, Head of Data & Analytics at Synechron.

    Swetha shares her career journey and the pivotal moments that shaped it. In this episode, we discuss the hot topic of getting data ready for generative AI, the importance of data quality and governance, and how companies can overcome common pitfalls when preparing their data for advanced AI applications.

    Don't miss valuable insights on leveraging both structured and unstructured data, ensuring data privacy, and developing a data-first risk management strategy.

    00:00 Introduction and Guest Welcome

    00:41 Swetha's Career Journey

    05:54 Key Career Moments and Lessons

    08:22 Challenges and Setbacks

    11:44 Generative AI and Data Preparation

    19:51 Governance and Privacy in Data

    22:12 Traditional vs. Modern Data Pipelines

    24:19 Assessing Data Readiness for Generative AI

    28:00 Conclusion and Final Thoughts

    Thank you for listening!

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あらすじ・解説

In this episode of Data Analytics Chat, we welcome Swetha Devabhaktuni, Head of Data & Analytics at Synechron.

Swetha shares her career journey and the pivotal moments that shaped it. In this episode, we discuss the hot topic of getting data ready for generative AI, the importance of data quality and governance, and how companies can overcome common pitfalls when preparing their data for advanced AI applications.

Don't miss valuable insights on leveraging both structured and unstructured data, ensuring data privacy, and developing a data-first risk management strategy.

00:00 Introduction and Guest Welcome

00:41 Swetha's Career Journey

05:54 Key Career Moments and Lessons

08:22 Challenges and Setbacks

11:44 Generative AI and Data Preparation

19:51 Governance and Privacy in Data

22:12 Traditional vs. Modern Data Pipelines

24:19 Assessing Data Readiness for Generative AI

28:00 Conclusion and Final Thoughts

Thank you for listening!

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