Data Analytics Chat

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/  

  1. VOR 20 STD.

    Turning AI into ROI: How to Build Value, Not Just Models

    Send us a text In this episode of Data Analytics Chat, we welcome David Ellison, Chief Data Scientist and Director of AI Engineering at Lenovo.    We’ll explore David's career journey from studying computer science to transforming businesses with AI.    Learn about his pivot into data science, lessons from working at the postal service, and his strategies for delivering ROI with AI projects.    In this episode, you will learn:   ·       How to turn AI initiatives into real business ROI, not just prototypes ·       Why most AI projects fail and what successful companies do differently ·       How to align AI with business KPIs from day one ·       Why soft skills like communication and storytelling are critical for data professionals ·       How to fail fast and deliver value quickly in AI projects ·       What executives actually want to hear from data teams ·       How to stand out in a competitive data job market ·       David Edison’s personal journey: from PhD graduate to Chief Data Scientist at Lenovo ·       Real-world case studies: including saving millions in manufacturing and helping NASCAR win races   00:00 Introduction to Data Analytics Chat Podcast   00:28 Guest Introduction: David Ellison   01:04 David's Career Journey   04:08 Transitioning Across Industries   06:08 Learning and Adapting in AI   09:30 Defining Moments in David's Career   13:48 Soft Skills and Leadership   21:56 Achieving ROI with AI   33:21 Real-World AI Success Stories   37:07 Final Thoughts and Advice Thank you for listening!

    38 Min.

  2. 23. JULI

    Can We Trust GenAI?

    Send us a text In this episode of Data Analytics Chat, host Ben Parker welcomes Michael Hicks, Executive Director at Novartis.    We explore Michael's unconventional career journey, which transitions from academia to business and from procurement to advanced analytics within the pharmaceutical industry.    Michael shares his thoughts on career decisions, the importance of positivity in teams, and the essential skills for success. The episode also dives into the crucial discussion on the trustworthiness of generative AI, its ethical implications, and the balance between human intuition and AI decision-making.    00:00 Introduction and Guest Welcome 00:46 Michael Hicks' Career Journey 01:25 Transition from Academia to Business 02:56 Entering the Pharmaceutical Industry 04:34 Role in Analytics and Procurement 06:30 Challenges and Career Pivots 10:08 Building Trust and Relationships 16:41 Defining Career Moments 24:10 Career Setbacks and Lessons Learned 27:16 Gaining a Competitive Edge 29:31 Innovative Team Leadership 29:50 Creating a Positive Team Culture 31:44 Hiring for Empathy and Curiosity 33:51 Trust in AI Systems 40:03 AI Accountability and Governance 44:01 Ethical Boundaries for AI Decisions 45:58 Human Context and AI Limitations 49:42 Deferring to AI vs. Human Judgment 53:40 Podcast Conclusion and Final Thoughts Thank you for listening!

    54 Min.

  3. 9. JULI

    The Hidden Barriers to Data Maturity

    Send us a text In this episode of Data Analytics Chat, host Ben Parker sits down with Jessica Talisman, Senior Information Architect at Adobe, to uncover why so many organisations struggle to move beyond basic data management.   Jessica shares in-depth industry insights on the root causes of poor data quality, the often-overlooked role of data governance, and why AI initiatives frequently fail without a robust data foundation.    From her unique career path rooted in library and information science to leading complex data ecosystems in tech, Jessica offers a fresh, pragmatic view on what it really takes to build scalable, trusted data systems.   00:00 Introduction and Guest Welcome 00:38 Jessica's Unconventional Career Path 03:19 Motivations and Career Shifts 05:03 The Importance of Data Management 08:11 Emerging Roles in Data and AI 10:43 Passion and Career Growth 27:38 Facing Career Setbacks 33:59 Navigating Life's Challenges with Self-Care 35:03 The Importance of Mindset and Personal Growth 35:36 Turning Setbacks into Opportunities 39:31 Discovering and Leveraging Your Superpowers 45:20 Building High-Quality Data Ecosystems 47:37 The Role of Leadership in Data Governance 55:31 Breaking Down Data Silos 59:16 Investing in Knowledge Graphs 01:04:04 Advice for Data Leaders 01:07:10 Conclusion and Final Thoughts Thank you for listening!

    1 Std. 7 Min.

  4. 2. JULI

    How to Lead and Coach High-Performing Data Teams

    Send us a text In this episode of Data Analytics Chat, host Ben Parker speaks with Joe Bugajski, former Chief Data Officer at Visa and Gartner.    Joe shares his remarkable career journey, which included building prototype vehicles, launching a machine learning company, and becoming a C-level data leader and coach.   For the data topic, we discuss what it really takes to lead and coach high-performing data teams. Joe offers honest insights on moving from technical expert to leader, how to communicate data value to the business, and the importance of self-awareness, feedback, and continuous learning in leadership.   00:00 Introduction and Guest Welcome 00:35 Joe’s Career Journey 03:47 Transition to Leadership 06:52 Building and Managing Teams 09:32 Importance of Communication and Feedback 26:02 Key Moments and Career Transformations 42:42 Embracing Failure and Persistence 43:13 Healthy Outlets for Stress 43:54 The Importance of Hobbies 44:59 Learning from Setbacks 45:38 Skills for Industry Success 46:50 The Role of Vision in Leadership 47:09 Mathematics and Machine Learning 48:13 The Value of Persistence 48:29 Effective Communication and Data Understanding 50:43 The Future of Data Science and AI 53:55 The Role of C-Level Leaders in Data and AI 01:00:54 Skills for the Next Generation of Data Professionals 01:08:17 Building a Culture of Experimentation 01:13:16 Preparing Teams for AI Integration 01:18:06 Concluding Thoughts and Final Advice Thank you for listening!

    1 Std. 19 Min.

  5. 25. JUNI

    What It Really Takes to Drive AI Adoption

    Send us a text 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!

    57 Min.

  6. 18. JUNI

    Why Data Projects Keep Failing

    Send us a text 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!

    49 Min.

  7. 11. JUNI

    The Gen AI Shift: Data Engineering Redefined

    Send us a text 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 outThe key skills, tools, and certifications that are shaping the modern data engineerHow generative AI is changing data architecture, pipeline design, and collaborationWhy governance, unstructured data, and real-time pipelines are now mission-criticalWhat 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!

    35 Min.

  8. 4. JUNI

    BMW’s AI Leader on Soft Skills, Career Growth & Thriving in Tech

    Send us a text In this episode of Data Analytics Chat, Ben Parker chats with Gerrit Grotewold, Head of Personalisation at BMW Research, to explore what it takes to build a long, impactful career in data and AI.   With his career at BMW, Gerrit shares how he transitioned from electrical engineering into AI leadership, the key challenges he faced stepping into management, and the learning habits that keep him ahead.   👉 Whether you’re a data professional just starting or an experienced expert, this episode is packed with great insights to help you grow and learn.   You’ll learn:   How domain knowledge gives you a competitive edge in dataWhy curiosity and soft skills matter more than ever in techHow to stay relevant in the age of LLMs and AI disruptionPractical tips for transitioning from technical expert to people leaderThe mindset shift required to grow your career and enjoy the journey  00:00 Introduction and Guest Welcome 01:06 Gerrit's Early Career and Education 01:43 Joining BMW and Career Growth 02:53 Transition to AI and Data 03:40 Passion for the Automotive Industry 05:22 Key Career Moments 08:00 Challenges and Overcoming Them 09:21 Management Transition 13:01 Skills and Traits for Success 17:28 Continuous Learning and Staying Relevant 21:18 Career Advice and Reflections 27:28 Pride in Achievements 28:27 Conclusion and Farewell Thank you for listening!

    29 Min.
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Info

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/  

Informationen

  • Erstellt von
    Ben Parker
  • Jahre aktiv
    2023 - 2025
  • Folgen
    48
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    © 2025 Data Analytics Chat
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    Data Analytics Chat

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