• From Consultant to Global Data Leader, with Parag Shrivastava (Head of Data and Analytics Portfolio at HPE)

  • 2025/03/12
  • 再生時間: 44 分
  • ポッドキャスト

From Consultant to Global Data Leader, with Parag Shrivastava (Head of Data and Analytics Portfolio at HPE)

  • サマリー

  • In this episode of Data Analytics Chat, host Ben Parker interviews Parag Shrivastava, Head of Data and Analytics Portfolio at Hewlett Packard Enterprise.

    He discusses his career journey, key moments that shaped his path, strategies driving data and AI innovation, and the challenges of managing large global teams.

    Parag offers advice for those looking to enter the data and AI field and highlights the importance of continuous learning and collaboration.


    00:00 Introduction and Guest Overview

    01:11 Parag Srivastava's Career Journey

    03:59 Transition to the U.S. and Cultural Adaptation

    05:54 Key Moments and Career Challenges

    08:27 Driving Change and Adoption in Data and AI

    17:26 Skills and Traits for Success

    21:28 Learning and Staying Relevant

    37:54 Advice for Aspiring Data and AI Professionals

    40:14 Proudest Achievements and Leadership Insights

    43:35 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, host Ben Parker interviews Parag Shrivastava, Head of Data and Analytics Portfolio at Hewlett Packard Enterprise.

He discusses his career journey, key moments that shaped his path, strategies driving data and AI innovation, and the challenges of managing large global teams.

Parag offers advice for those looking to enter the data and AI field and highlights the importance of continuous learning and collaboration.


00:00 Introduction and Guest Overview

01:11 Parag Srivastava's Career Journey

03:59 Transition to the U.S. and Cultural Adaptation

05:54 Key Moments and Career Challenges

08:27 Driving Change and Adoption in Data and AI

17:26 Skills and Traits for Success

21:28 Learning and Staying Relevant

37:54 Advice for Aspiring Data and AI Professionals

40:14 Proudest Achievements and Leadership Insights

43:35 Conclusion and Final Thoughts

Thank you for listening!

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