Data Analytics Chat

Ben Parker
  • 5.0 (3)
  • CAREERS
  • UPDATED BIWEEKLY

🎧 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 professionalsThis is for anyone passionate about data and the people behind it.👉 Hit subscribe and join us on the learning journey.  Connect with host - https://www.linkedin.com/in/ben---parker/  

  1. DEC 17

     The Reality of AI Today

    In this episode of Data Analytics Chat, we welcome Carlos Pineda, the Head of Data Analytics and Insight at Diageo North America. Carlos shares his extensive experience in data analytics across Latin America, Asia-Pacific, Eastern Europe, and North America.  They discuss the growing role of AI in both personal and corporate life, the importance of a strong data foundation, and the critical need to understand business processes and foster strong relationships. Carlos emphasises the importance of targeted AI use cases, end-to-end transformation, and continuous delivery in AI implementation.  The conversation delves into effective leadership strategies, experimentation, and the value of consistent stakeholder engagement to integrate AI into business operations successfully. Key topics include data readiness, the role of generative AI, and the overall impact of AI-driven business transformations. 00:00 Introduction to AI in Daily Life 01:15 Welcome to Data Analytics Chat 01:53 Meet Carlos Pineda 02:51 Career Decisions and Growth 05:30 Leadership Challenges and Lessons 08:02 The Reality of AI in Business 09:58 The Importance of Business Acumen 13:13 Challenges in AI Implementation 30:38 The Cost and Value of AI 33:39 Final Thoughts and Farewell Thank you for listening!

    34 min

  2. DEC 12

    Why Hiring And Retaining Top AI Talent Has Become Harder Than Ever

    In this episode of Data Analytics Chat, we welcome Misha Trubskyy, head of Claims Data Science at Mercury Insurance. Misha shares his journey from academia to corporate life, highlighting his transition from econometrics to leading data science initiatives in insurance. He discusses the significance of continuous learning, the challenges of implementing AI and data, and the importance of hiring and retaining top talent. Misha also delves into his leadership principles, the value of technical proficiency, and the importance of empathy in managing teams. Key issues such as the evolving hiring landscape, market conditions, and strategies for organisational growth are explored in-depth. 00:00 Introduction and Personal Philosophy 00:14 The Importance of Continuous Learning 00:44 Challenges in the AI and Data Science Field 01:20 Guest Introduction: Misha Ky 02:24 Misha's Career Journey 03:43 Current Excitements in AI and Data Science 06:09 Navigating Human Elements in Claims 07:37 Leadership Challenges and Lessons 11:28 The Value of Individuality in Leadership 19:31 Advice for Aspiring Data Leaders 29:52 Hiring Challenges in AI and Data Science 37:02 Finding the Right People for the Job 37:23 The Importance of Critical Thinking 37:41 Authenticity in Interviews 38:26 The Role of Technology in Interviews 38:51 Evaluating Candidates Beyond Technical Skills 41:36 The Misconception About Technical Skills 42:25 Personality and Attitude in Hiring 44:21 Challenges in the Job Market 48:55 Investing in Junior Staff 01:04:33 Retention Strategies for Top Performers 01:10:03 Future of the Hiring Landscape 01:13:42 Conclusion and Final Thoughts Thank you for listening!

    1h 11m

  3. DEC 4

    Why Data Governance & Data Quality Are Important

    In this episode of Data Analytics Chat, we welcome Carol Kim, Executive Director at IBM, who shares her intriguing journey from a finance background to leading technology, data, and AI at IBM's Global Real Estate organisation.  Carol discusses her career transformation, the importance of curiosity and authentic leadership, and the role of storytelling in decision-making. The episode also looks into the significance of data governance and quality for data-driven decision-making and how to build effective data governance frameworks. Carol further discusses adapting to different cultures, continuous reinvention, and the hidden costs of poor data quality.  00:00 Introduction: The Power of Willingness to Learn 01:12 Welcome to Data Analytics Chat 02:01 Carol Kim's Career Journey 02:57 The Role of Data in Real Estate 03:38 Adapting to Different Cultures 07:54 The Importance of Storytelling in Data 09:59 Challenges in Leadership and Career Transitions 15:13 The Significance of Data Governance and Quality 24:06 Conclusion and Final Thoughts Thank you for listening!

    25 min

  4. DEC 3

    The Rise of AI Agents

    In this episode of Data Analytics Chat, host Ben welcomes Ilya Meyzin, SVP Head of AI Solutions at Dun & Bradstreet. Ilya shares his career journey from management consulting to leading AI solutions, highlighting the importance of implementation, continuous learning, and cross-domain expertise. He discusses the evolution of AI agents, their capabilities, and the shift from linear models to stateful, autonomous agents. The conversation delves into the complexities of scaling AI, embedding agents in enterprise architecture, and balancing technical innovation with business value. Ilya also emphasises the necessity of high-quality data and the importance of cross-departmental collaboration for successful AI deployment. 00:00 Introduction and Initial Insights 01:14 Guest Introduction and Career Overview 02:45 Transition from Strategy to Implementation 04:15 Learning and Adapting in Consulting 05:35 Defining Career Moments 10:35 Handling Challenges and Stress 13:03 Leadership and Team Dynamics 14:45 Balancing Technical and Business Skills 20:01 Focus and Credibility in Leadership 23:18 Introduction to AI Agents 23:39 Capabilities of AI Agents 24:22 Technical Aspects of AI Agents 25:39 Complex Problem Solving with AI Agents 28:40 High-Value Use Cases for AI Agents 32:14 Team Collaboration in AI Deployment 33:19 Challenges in Scaling AI Agents 37:21 Data Quality and AI Agents 45:12 Future of AI Agents in Enterprises 48:17 Conclusion and Final Thoughts Thank you for listening!

    49 min

  5. NOV 26

    The Power of Personalisation: How AI Influences What We Buy

    In this episode of Data Analytics Chat, we sit down with Allison Olson, Senior Vice President of Analytics Solutions at Merkle. Allison shares her inspiring career journey, filled with proud moments, challenges, and valuable leadership insights. She talks about the importance of following your gut, taking risks, and how COVID-19 reshaped leadership attitudes.   We then discuss how AI is transforming personalisation and, ultimately, buying behaviour. Allison breaks down the shift from static to dynamic personalisation, exploring how adaptive experiences powered by real-time data guide customer decisions. She also covers the ethical use of AI, strong data foundations, and the transformative role of generative AI in creating truly tailored customer experiences that influence what we buy and why. 00:00 Introduction to Leadership and Personal Growth 00:21 The Role of Gut Instinct in Decision Making 00:52 Challenges and Ethical Concerns in Data Analytics 01:34 Welcome to Data Analytics Chat 02:12 Alison Olson's Career Journey 04:46 The Evolution of Leadership 07:11 Impact of COVID on Leadership 08:37 Learning from Failures and Taking Risks 10:37 Balancing Management and Leadership 13:45 Skills and Mindsets for Leadership 16:32 Advice for Aspiring Leaders 21:01 Introduction to Dynamic Personalisation 21:59 The Concept of Dynamic Personalisation 23:23 Static vs. Dynamic Personalisation 25:34 Real-World Examples of Personalisation 27:22 Data Types for Adaptive Experiences 29:27 Predictive Signals for User Needs 30:42 Balancing Personalisation and Privacy 35:12 Challenges in Real-Time Personalisation 38:16 Generative AI and Future Possibilities 40:05 The Future of Jobs in Data and Analytics 43:57 Conclusion and Final Thoughts Thank you for listening!

    44 min

  6. NOV 19

    Challenges, Successes, and Transformations of Generative AI

    In this episode of Data Analytics Chat, host Ben Parker welcomes Viji Krishnamurthy, VP and Head of AI and Generative AI at Oracle. With over two decades of experience spanning startups, Samsung, and Oracle, Viji shares her journey from academic research to leading enterprise AI initiatives. Viji discusses pivotal career moments, the transition from scientist to product leader, and the importance of continuous learning and collaboration.  The data topic looks into the challenges, successes, and transformations of generative AI in the enterprise. The conversation explores the evolving role of data professionals, the challenges of implementing generative AI at scale, and the cultural shifts required for organisations to fully harness AI’s potential. Viji highlights the need for robust data platforms, evaluation frameworks, and feedback-driven learning, while offering practical advice for aspiring leaders and insights into the future of business. 00:00 Becoming Managers of Agents: The New Workplace Paradigm 01:19 Welcome & Introduction to Data Analytics Chat 02:08 Viji Krishnamurthy’s Career Journey 03:47 Influential Mentors and Defining Moments 07:41 Transitioning from Scientist to Product Leader 10:55 High-Value Problem Solving in Data Science 13:23 Overcoming Career Challenges and Breaking Stereotypes 18:19 The Evolving Role of Data Professionals 21:50 Key Skills and Mindsets for Leadership 27:43 Continuous Learning and Staying Ahead in AI 32:28 Quantum Physics and the Future of Intelligence 38:08 Advice for Aspiring Leaders 41:08 Generative AI: Enterprise Challenges 44:08 Success Stories and Business Value 48:52 Addressing Risks: Hallucinations, Bias, and Trust 52:09 Cultural and Organisational Shifts for GenAI Adoption 57:05 The Future: Agents, Automation, and Collaboration 60:00 Closing Thoughts and Predictions Thank you for listening!

    58 min

  7. NOV 12

    How To Define Success ROI

    In this episode of Data Analytics Chat, we welcome Michael Shaw, Senior Vice President of Data and AI at Dow Jones. Michael shares his fascinating career journey, which includes experiences at Google, Facebook, and Instacart.  He discusses the key challenges he faced, such as managing hypergrowth during the pandemic, transitioning into leadership roles, and driving ROI in data projects.  The discussion examines how to measure success in data initiatives, manage stakeholder expectations, and strike a balance between achieving quick wins and long-term strategic benefits.  Michael provides insights on retaining top talent, fostering cultural shifts, and leveraging AI for business growth.  00:00 Introduction and Early Career Lessons 01:08 Welcome to Data Analytics Chat 01:58 Michael Shaw's Career Journey 08:28 Transition to Leadership 17:49 Challenges and Overcoming Them 28:08 Defining Success and ROI in Data Projects 31:26 Leveraging Data for Business Objectives 32:04 Building a Core Data Foundation 33:05 Managing Stakeholder Expectations 34:14 Balancing Quick Wins and Long-Term Benefits 35:46 Tactical Approaches to Data Management 38:15 Overcoming Data Quality and Governance Issues 44:31 Driving Adoption and Cultural Change 49:48 Capturing and Communicating Softer Benefits 54:31 Evolving Expectations of ROI with AI 01:02:11 Setting Realistic Goals for Businesses 01:04:58 Conclusion and Final Thoughts Thank you for listening!

    1h 5m

  8. NOV 5

     How To Create Data Standards In Pharma

    In this episode of Data Analytics Chat, host Ben welcomes Priya Gopal, a seasoned professional who has worked with major pharma companies like Takeda and GSK and recently founded her own consulting firm, Inferential Data LLC.    Priya shares her journey from a hands-on database developer to a strategic leader in the field of clinical research. She discusses the importance of cultural readiness for transformation, the role of data standards in drug discovery, and the challenges in implementing these standards across global teams.    Priya also provides insights into balancing regulatory requirements with internal data governance and the potential for cross-industry collaboration to drive innovation in pharma.    00:00 Introduction to Transformation and Leadership 01:23 Guest Introduction and Career Journey 04:14 Defining Moments and Leadership Insights 10:20 Challenges and Lessons in Pharma 20:34 Creating Data Standards in Pharma 28:42 Balancing Global Regulations and Internal Governance 34:18 The Role of AI and Automation 39:42 Cross-Industry Collaboration and Future Opportunities 44:36 Conclusion and Final Thoughts Thank you for listening!

    45 min
See All (69)

Ratings & Reviews

5
out of 5
3 Ratings

About

🎧 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 professionalsThis is for anyone passionate about data and the people behind it.👉 Hit subscribe and join us on the learning journey.  Connect with host - https://www.linkedin.com/in/ben---parker/  

Information

  • Creator
    Ben Parker
  • Years Active
    2023 - 2025
  • Episodes
    69
  • Rating
    Clean
  • Copyright
    © 2025 Data Analytics Chat
  • Show Website
    Data Analytics Chat

You Might Also Like