Data Analytics Chat

Ben Parker
  • 5.0（2則評分）
  • 職業
  • 隔週更新

🎧 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 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/  

  1. 1 小時前

    Challenges, Successes, and Transformations of Generative AI

    Send us a text 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 conversation explores the evolving role of data professionals, the challenges of implementing generative AI at scale, and the cultural shifts required for organizations to fully harness AI’s potential. The data topic delves into the challenges, successes, and transformations of generative AI in the enterprise. 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 AI-powered 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 Organizational Shifts for GenAI Adoption 57:05 The Future: Agents, Automation, and Collaboration 60:00 Closing Thoughts and Predictions Thank you for listening!

    58 分鐘

  2. 11月12日

    How To Define Success ROI

    Send us a text 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!

    1 小時 5 分鐘

  3. 11月5日

     How To Create Data Standards In Pharma

    Send us a text 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 分鐘

  4. 10月29日

    Core Data Principles That Drive Business Value

    Send us a text In this episode of Data Analytics Chat, we welcome Shourabh Mukherji, a data and analytics expert with 25 years of experience at major firms such as Chubb and JPMorgan Chase.  Shourabh shares his journey from starting a small enterprise in India to working with senior executives in the United States. The discussion examines his career milestones, key challenges, and the vital leadership skills required in the industry.  The data topic explores essential data management principles, the importance of aligning data strategies with business objectives, and the role of AI and new technologies in modern enterprises. Shourabh emphasises the significance of building strong data foundations and fostering empathy within teams to drive successful data-driven decisions. 00:00 A Defining Moment: Leap of Faith 01:19 Introduction to Data Analytics Chat 02:08 Shourabh Mukherji's Career Journey 07:07 Challenges and Defining Moments 09:47 Building Trust and Stakeholder Management 15:57 Key Skills for Leadership 22:32 Core Data Management Principles 25:38 Understanding Business Needs Before Data Management 26:42 Centralised vs. Embedded Data Quality Ownership 28:09 The Importance of Needs Analysis in Data Management 31:54 Identifying and Prioritising Business Needs 34:15 Building a Strong Data Solution Framework 40:05 Effective Data Distribution for Decision Making 42:53 Aligning Business Objectives with Data Initiatives 44:42 Evolving Data Management Strategies with AI Thank you for listening!

    50 分鐘

  5. 10月22日

    How Hard Is It to Get Things Done in Data Projects

    Send us a text In this episode of Data Analytics Chat, we sit down with Juan Gorricho, a leader in data analytics with experience at top companies like Walt Disney, Visa, and TD Bank.  Now the founder of Strategic Data Transformation, Juan shares his journey in the data field, the challenges of delivering data projects, the importance of aligning data projects with business goals, and managing expectations amid the AI hype.  He also provides leadership lessons, emphasising the value of empathy, listening, and team growth.  00:00 Introduction to Data Analytics Chat 00:07 Guest Introduction: Juan Gorricho Career Journey 01:00 Early Career and Education 01:37 The Intersection of Data, Technology, and Business 06:05 Challenges and Success in Data Projects 11:46 Managing Expectations in the AI Hype Cycle 15:25 Leadership Lessons and Team Management 23:36 Influences and Principles of Leadership 27:22 Breaking into Leadership: Overcoming Fears and Embracing Change 29:56 The Importance of Servant Leadership 30:45 Challenges in Data Projects: Business Alignment and Adoption 34:23 Human and Cultural Roadblocks in Data Projects 43:22 The Role of Communication in Data Project Success 52:03 Overcoming Obstacles and Achieving Success in Data Projects Thank you for listening!

    57 分鐘

  6. 10月15日

    How Gen AI and Agents Are Reshaping The Game

    Send us a text 9In this episode of Data Analytics Chat, we sit down with Dushyanth Sekhar, Head of AI and Data Platforms at S&P Global. Dush shares key insights from his career journey, emphasising the importance of learning from failures in the AI space.  He discusses his transition from a non-technology background to leading AI and data initiatives, the role of continuous learning, and the significance of setting a vision and promoting a risk-taking culture in leadership.  The conversation highlights the strategic implementation of generative AI and agents in transforming data workflows and enhancing company growth.  00:00 Embracing Failures in AI 01:07 Introduction to the Podcast and Guest 01:50 Career Journey and Early Beginnings 03:03 Transition to AI and Key Learnings 04:19 Defining Moments and Career Decisions 05:33 Moving to the US and Professional Growth 10:16 Leadership Insights and Risk-Taking 17:19 Staying Updated in a Fast-Paced Field 19:36 Excitement for the Future of AI 21:10 Overestimating Risk and Underestimating Opportunity 21:54 The Evolution of Language Models at S&P 23:49 Integrating AI into Workflows 28:31 Enhancing and Creating New Products with LLMs 30:54 Future-Proofing and Optimising with AI 37:19 The Role of Agents in AI 40:19 Lessons Learned from AI Integration 41:40 Conclusion and Final Thoughts Thank you for listening!

    42 分鐘

  7. 10月8日

    How Agentic AI Will Impact Business

    Send us a text In this episode of Data Analytics Chat, we welcome Sundip Gorai, Global Head of Data Science and AI at Global Payments, a Fortune 500 company. Sundip shares insights from his expansive career journey, which spans across various industries like banking and manufacturing, and discusses how agentic AI is revolutionising business.  He offers insight into AI strategy, the challenges of adopting AI, and the importance of striking a balance between technology and ethics and social responsibility. Sundip also reflects on the future of work, the impact of AI on jobs, and the need for continuous learning in this rapidly evolving field. 00:00 Introduction and Initial Thoughts on Leadership 01:04 Welcome to Data Analytics Chat 02:18 Sundip Gorai's Career Journey 08:11 Defining Moments and Challenges in Career 17:17 Leadership Skills and Attributes 19:47 Meditation and Stress Management 24:10 Approaching AI Strategy 28:54 Choosing the Right Tools for AI Strategy 29:04 The Unchanging Layers of AI Strategy 30:01 The Obsession with Tools and Technologies 31:07 Understanding Agent AI 34:07 Industries Adopting Agent AI 39:01 Challenges in Deploying AI 43:15 Impact of AI on Jobs and Skills 49:10 Future of Business and Mankind with AI Thank you for listening!

    56 分鐘

  8. 10月1日

     How a Measured Data Stack Can Impact Business Decisions

    Send us a text In this episode of Data Analytics Chat, host Ben welcomes Matthew Paruthickal, Global Head of Data and AI Architecture Engineering at Sanofi, to discuss the evolution of data technology from single-box systems to agent AI.  They explore Matthew's career journey, the importance of solving business problems with technology, and the significant moments that shaped his approach to data. Topics include the layered data stack, overcoming technical and organisational challenges, the role of trust and speed in data, and how businesses can leverage AI for better decision-making.  00:00 The Evolution of Data and AI 00:48 Introduction to the Podcast and Guest 01:48 Matthew's Career Journey 02:17 Technological Shifts in Data Management 03:46 The Importance of Trust and Speed in Data 07:40 Defining Moments and Career Setbacks 09:46 Mentorship and Business Value 16:51 Building a Layered Data Stack 19:09 Understanding the Layered Data Stack 20:12 Challenges in Executing a Layered Data Stack 21:14 Top-Down and Bottom-Up Approach 22:07 The Importance of Business Focus 23:53 Aligning Data Stack with Strategic Decision Making 26:30 E-commerce Data Challenges and Solutions 29:14 Common Difficulties in Data Tool Investments 31:17 Evaluating New Data Tools 35:27 Balancing Automation with Real-Time Insights 37:12 Conclusion and Final Thoughts Thank you for listening!

    38 分鐘
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簡介

🎧 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 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/  

資訊

  • 創作者
    Ben Parker
  • 活躍年代
    2023年 - 2025年
  • 集數
    64
  • 年齡分級
    兒少適宜
  • 版權
    © 2025 Data Analytics Chat
  • 節目網站
    Data Analytics Chat

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