Data Analytics Chat

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 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. 9時間前

    How Gen AI and Agents Are Reshaping The Game

    Send us a text In this episode of Data Analytics Chat, we sit down with Dusyanth Sekar, Head of AI and Data Platforms at S&P Global. Damp shares key insights from his career journey, emphasing 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. Tune in to explore Dusyanth Sekar's valuable lessons on integrating AI into large organizations and future-proofing business operations. 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 Optimizing 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

  2. 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

  3. 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

  4. 9月24日

    Choosing The Right Signal on Human Intuition or AI Insight

    Send us a text Join us as we look into the journey of Sameer Sethi, Chief AI Officer at Hackensack Meridian Health, on the Data Analytics Chat podcast. Sameer shares his transition from financial services to healthcare, driven by his purpose. We see how AI is reshaping healthcare, the importance of human intuition vs. AI insights, and the critical role of human factor engineering.  We discuss the pivotal moments in Samir's career and gain insights into the future of AI across various industries.  00:00 Introduction to Data and AI Journey 00:29 Impact of COVID on Technology Adoption 01:06 Guest Introduction: Sameer Sethi 01:41 Sameer's Career Path in Healthcare 03:13 Motivation Behind the Career Shift 06:18 Defining Moments in Healthcare Technology 14:11 Challenges and Setbacks in Career 15:53 Importance of Self-Awareness and Mentorship 18:07 Balancing Technology and Healthcare 20:26 Advice for Technologists and Leaders 23:40 Introduction to Data Signals 25:08 The Role of AI in Job Evolution 28:18 Balancing Human Intuition and AI 29:57 Human Factor Engineering in AI 33:50 Ensuring Trustworthy Data Signals 44:09 The Future of AI in Organisations Thank you for listening!

    47分

  5. 9月17日

    Personalised Medicine & Why The Right Data Matters

    Send us a text In this episode of the Data Analytics Chat podcast, host Ben Parker welcomes Steve Labkoff, Vice President for Development and Medical Analytics at Bristol Myers Squibb.  Steve shares his incredible career journey, from starting as a traditional physician to pioneering roles in medical informatics and analytics across various pharmaceutical companies.  The discussion explores the intricacies of personalised medicine, highlighting the importance of identifying the right data and the challenges it presents. Steve also highlights the impact of life experiences on his career, the value of mentorship, and his innovative contributions, including the development of video game simulations for medical training and the establishment of a hospital for AIDS care in Africa.  00:00 Introduction to Data Analytics Chat 00:33 Steve Labov's Career Journey 02:09 Transition to Informatics 03:49 Major Projects and Achievements 09:54 Challenges and Setbacks 12:50 The Role of Mentorship 20:43 Personalised Medicine and Data 24:15 The Future of AI in Healthcare 32:14 Challenges in Data Interoperability 39:08 Conclusion and Final Thoughts Thank you for listening!

    41分

  6. 9月10日

    Building AI Without Foundations

    Send us a text In this episode of the Data Analytics Chat podcast, we explore the world of data and AI with Linda Powell, former Deputy Chief Data Officer.  Linda shares insights from her unique career journey, which spans roles at the Federal Reserve, the Treasury Department, Citibank, and more. She discusses the differences and similarities between public and private sectors, and the importance of data foundations in AI. She offers advice for those looking to build their careers in data management.  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!

    45分

  7. 9月3日

    Why Every Company Needs a Data Platform Strategy

    Send us a text In this episode of Data Analytics Chat, host Ben Parker interviews Manoj Mohan, an engineering executive with experience at Intuit, Meta, Apple, and Cloudera.  Manoj shares his journey from software engineering to data leadership, offering invaluable insights into building resilient data platforms and driving innovation in the world of data and AI. Manoj discusses pivotal moments in his career, the challenges of moving from technical roles to leadership, and the importance of learning from both successes and failures. He emphasises the need for a data platform strategy over simply assembling a stack of tools, and shares practical advice for newcomers and leaders alike.  The conversation also covers the pitfalls of focusing on quick technology wins, the critical role of governance, and how to future-proof your data strategy in an era of rapid AI advancement. 00:00 Treating Data as a First-Class Citizen 01:19 Welcome & Guest Introduction 01:46 Manoj’s Career Journey & Background 02:45 Transition from Software to Data Engineering 05:06 Moving into Engineering Leadership 07:11 Advice for Newcomers: Learning & Unlearning 09:12 Defining Moments in Manoj’s Career 12:05 Lessons from Career Setbacks 15:03 The Importance of Data Platform Strategy 17:18 Data Stack vs. Data Platform Strategy 21:06 Evaluating and Choosing Data Tools 24:04 Why Companies Buy Tools Instead of Building Strategy 27:13 Real-World Example: Great Stack, Failed Strategy 30:00 Governance and Business-Tech Alignment 33:00 Building a Scalable, Future-Proof Data Platform 36:00 The Role of Data Platforms in AI & Innovation 41:00 Final Thoughts & Farewell Thank you for listening!

    43分

  8. 8月27日

    How To Solve Business/Consumer Problems Using AI

    Send us a text 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!

    39分
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番組について

🎧 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/  

情報

  • クリエイター
    Ben Parker
  • 配信期間
    23年 - 25年
  • エピソード
    59
  • 制限指定
    不適切な内容を含む
  • Copyright
    © 2025 Data Analytics Chat
  • 番組のWebサイト
    Data Analytics Chat

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