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Data Analytics Chat

Data Analytics Chat

著者: Ben Parker
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🎧 Welcome to Data Analytics Chat – the podcast where data meets real careers.

Data isn’t just numbers; it’s a journey. Each episode, we explore a key topic shaping the world of data analytics while also discussing the career paths of our guests.

This podcast brings together top experts to share:

- Insights on today’s biggest data trends
- The challenges they’ve faced (and how they overcame them)
- Their career journeys, lessons learned, and advice for the next generation of data professionals

This isn’t just a podcast, it’s a community for anyone passionate about data and the people behind it.

👉 Hit subscribe and join us on the journey.


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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  • Building AI Without Foundations
    2025/09/10

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    In this episode of the Data Analytics Chat podcast, we dive deep into the world of data and AI with Linda Powell, former Deputy Chief Data Officer. Linda shares insights from her unique career journey, spanning roles at the Federal Reserve, Treasury Department, Citibank, and more. She discusses the differences and similarities between public and private sectors, the importance of data foundations in AI, and offers advice for those looking to build their careers in data management. Learn about challenges, pivotal career moments, and the value of education and curiosity in navigating the evolving data landscape.

    00:00 Public vs. Private Sector: A Personal Insight
    01:08 Introducing Linda Powell: Career Highlights
    01:52 Linda's Career Journey: From Economics to Data Management
    04:20 Public vs. Private Sector: Motivations and Misconceptions
    10:57 Defining Moments and Career Setbacks
    14:09 The Importance of Education and Curiosity
    18:57 Overcoming Challenges and Embracing Leadership
    21:56 Learning Leadership Through Books
    22:43 The Importance of Kindness in Leadership
    23:12 Building a Motivated Team
    24:00 Leadership by Example
    25:33 Transition to Data and AI
    26:06 The Hype and Strategy of AI
    27:20 The Speed and Complexity of AI
    30:42 The Importance of Data Foundations
    36:05 AI in Sensitive Industries
    39:34 Balancing Quick Wins and Long-Term AI Strategy
    42:29 Starting Points for AI Foundations
    44:11 Conclusion and Final Thoughts

    Thank you for listening!

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    45 分
  • Manoj Mohan
    2025/09/03

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    43 分
  • How To Solve Business/ Consumer Problems Using AI
    2025/08/27

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    In this episode of Data Analytics Chat, host Ben Parker interviews Bilal Ahmed, Chief AI and Data Officer at Paul Tech AG, about his career journey and invaluable insights into the world of data and AI.

    Bilal shares his experiences from his extensive career, highlighting pivotal moments, challenges, and the transition from a technical to a leadership role. He discusses the importance of self-belief, taking calculated risks, and the role of persistence and resilience in achieving success. We look into solving business and consumer problems using AI, emphasising the importance of asking the right questions and having the correct data.

    Bilal also touches upon the hype surrounding generative AI and the need to educate businesses on realistic expectations.

    00:00 Introduction and Personal Journey
    00:12 Believing in Yourself and Embracing Failure
    01:14 Career Highlights and Future Plans
    03:17 Transitioning from Technical to Leadership Roles
    04:49 Learning and Mentorship
    06:54 Key Advice for Innovation and Change Management
    07:53 Stakeholder Management and Career Setbacks
    13:08 AI in Business: Misconceptions and Realities
    35:09 Balancing Quick Wins with Long-Term Solutions
    37:42 Conclusion and Final Thoughts

    Thank you for listening!

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    39 分
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