『The Data Strategy Show』のカバーアート

The Data Strategy Show

The Data Strategy Show

著者： Samir Sharma
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This podcast explores the relationship between data strategy and business strategy. A fireside chat between the host Samir Sharma and executives from across industries. We will wax lyrically about all things to do with Data Strategy and how it drives business growth. Join Samir Sharma and his guests to gain insights into how organisations drive their strategic growth objectives using data.Samir Sharma マネジメント マネジメント・リーダーシップ 経済学
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  • Season 4 Ep 28: Laura Hernandez

    Season 4 Ep 28: Laura Hernandez
    2026/07/13

    My last episode on season 4! Well, it was the last and THE best! I loved talking to Laura and here is what we chatted about:

    • Laura's Background and Career Journey (0:04)
    • Experiencing and Overcoming Burnout (5:05)
    • The Role of Purpose and Self-Awareness (9:07)
    • Navigating AI and Its Impact on Women Leaders (17:10)
    • Strategies for Managing Overwhelm and Embracing AI (30:39)
    • The Thrive Lotus Lifestyle Formula (37:18)
    • Advice for Emerging Women Leaders (41:53)
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    46 分
  • Season 4 Ep 27: Louise Humpington

    Season 4 Ep 27: Louise Humpington
    2026/06/04

    Really enjoyed my chat with Louise and here is the rundown of what we discussed:

    • Introduction (0:04)
    • The Importance of Diversity, Equity, and Inclusion (DEI) in AI (2:21)
    • Challenges and Examples of AI Bias (4:22)
    • Impact of AI on Women and Minorities (9:15)
    • Consumer and Investor Influence on AI Governance (10:54)
    • Education and Empowerment through AI (15:22)
    • Final Thoughts and Contact Information (15:39)
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    33 分
  • Season 4 Ep 26: Tara O'Kane

    Season 4 Ep 26: Tara O'Kane
    2026/05/27

    What a brilliant episode! Here is an outline of what we discussed:

    • Introduction and Background for Tara (0:00)
    • Challenges Faced by Women in Tech (6:05)
    • Origins and Structure of the AWS She Builds Program (11:50)
    • Mentorship and Career Development (17:13)
    • Early Career and Representation in Tech (22:54)
    • Advice for Women in Tech (28:41)
    • Conclusion and wrap up (34:22)
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    39 分
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