『Data Analytics Chat』のカバーアート

Data Analytics Chat

Data Analytics Chat

著者: Ben Parker
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Welcome to Data Analytics Chat – the podcast that dives deep into the ever-evolving world of Data and AI.


Each episode unpacks the latest trends, innovations, and challenges shaping data science and artificial intelligence today. But this isn’t just about tech, it’s about the people behind it.


We spotlight real career journeys from professionals across the industry, sharing the pivotal moments, obstacles overcome, and lessons learned along the way.


Tune in for candid conversations with leading experts as they offer practical advice, industry insights, and inspiration to help you grow your own career in data.


Connect with host - https://www.linkedin.com/in/ben---parker/

© 2025 Data Analytics Chat
マネジメント マネジメント・リーダーシップ 出世 就職活動 経済学
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  • What It Really Takes to Drive AI Adoption: Lessons from Anju’s Data Career, with Anju Gupta (Chief Data and AI Officer at BNSF Railway)
    2025/06/25

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    In this episode of Data Analytics Chat, host Ben Parker talks with Anju Gupta, the Chief Data and AI Officer at BNSF Railway, to explore her successful career journey to date and discuss AI adoption.

    Anju reveals her career journey, sharing pivotal moments that shaped her path and the profound influence of AI on various industries. She discusses overcoming challenges, the significance of collaboration, and essential skills like resilience, humility, and influencing.

    Anju provides a detailed exploration of AI adoption at scale, highlighting common roadblocks, strategic approaches for aligning AI with business goals, and the importance of a well-rounded build, buy, and partner strategy.

    00:00 Introduction and Guest Welcome

    00:39 Anju's Early Career Journey

    03:43 Pivotal Moments and AI Adoption

    06:15 Overcoming Challenges and Building Influence

    17:23 The Importance of Mentors and Sponsors

    24:32 Handling Setbacks and Learning from Failure

    29:04 The Dangers of Comparison

    31:15 Skills for Success in the Industry

    34:10 Challenges in AI Adoption

    42:50 Moving from AI Experimentation to Full-Scale Adoption

    46:48 Common Mistakes in Early AI Adoption

    50:55 Aligning AI Initiatives with Business Goals

    53:26 Leveraging External Expertise for AI Success

    56:42 Final Thoughts and Advice

    Thank you for listening!

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    57 分
  • Why Data Projects Keep Failing, with Murli Buluswar (Head of Analytics at Citibank)
    2025/06/18

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    Why do so many data and analytics projects fall short, even in the most well-funded companies?

    In this episode of Data Analytics Chat, host Ben Parker talks with Murli Buluswar, Head of Analytics at Citibank's US Personal Bank, to explore what companies are doing wrong in data and analytics solutions.

    We also explore his impressive career journey, from statistician to leader and unpack what it really takes to scale impact in data and analytics.


    00:00 Introduction to the Guest and Episode Overview

    00:48 Career Beginnings and Early Insights

    03:50 Transition to Leadership and Enterprise Thinking

    06:37 Continuous Learning and Self-Improvement

    17:53 Challenges and Skills in Data-Driven Leadership

    36:41 Common mistakes companies make when building analytics solutions

    40:55 Companies' obsession with the latest tools and technologies

    45:29 Poor leadership or lack of accountability at the top

    46:23 Industry guilty of overcomplicating data strategies

    48:21 Final Thoughts and Conclusion

    Thank you for listening!

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    49 分
  • The Gen AI Shift: Data Engineering Redefined, with Shashi Kumar (Head of Data Engineering & Analytics at Hearst)
    2025/06/11

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    In this episode of Data Analytics Chat, host Ben Parker talks with Shashi Kumar, Head of Data Engineering & Analytics at Hearst, to explore how the rise of generative AI is reshaping the role of data engineering.

    Whether you’re an aspiring data leader or a hands-on engineer, this episode is packed with practical insights, career advice, and how top organisations adapt to the new AI landscape.

    You’ll learn:

    • How Shashi transitioned from DBA to senior data leader and what helped him stand out
    • The key skills, tools, and certifications that are shaping the modern data engineer
    • How generative AI is changing data architecture, pipeline design, and collaboration
    • Why governance, unstructured data, and real-time pipelines are now mission-critical
    • What strategic investments should companies make to scale Gen AI effectively

    00:00 Introduction and Guest Welcome

    00:41 Shashi Kumar's Career Journey

    03:42 Transition to Leadership

    05:44 Key Career Moments

    08:57 Facing Career Setbacks

    11:31 Skills for Success in Data Engineering

    16:50 Impact of Generative AI on Data Engineering

    20:52 Modern Data Engineering Tools and Skills

    24:21 Collaboration Between Data Engineering and Data Science

    28:42 Modern Data Architectures and Gen AI

    33:57 Strategic Investments for Gen AI Adoption

    34:46 Conclusion and Final Thoughts

    Thank you for listening!

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    35 分

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