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TitreDateDurée
Core Data Principles That Drive Business Value29 Oct 202500:50:15

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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!

How Hard Is It to Get Things Done in Data Projects22 Oct 202500:56:47

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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!

How Gen AI and Agents Are Reshaping The Game15 Oct 202500:42:11

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In 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!

How Agentic AI Will Impact Business08 Oct 202500:56:08

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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

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 How a Measured Data Stack Can Impact Business Decisions01 Oct 202500:38:00

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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!

Choosing The Right Signal on Human Intuition or AI Insight24 Sep 202500:46:58

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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!

Personalised Medicine & Why The Right Data Matters17 Sep 202500:40:52

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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!

Building AI Without Foundations10 Sep 202500:44:47

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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!

Why Every Company Needs a Data Platform Strategy03 Sep 202500:42:54

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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!

How To Solve Business/Consumer Problems Using AI27 Aug 202500:38:51

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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!

How Do We Thread Gen AI Into Our Processes?20 Aug 202500:58:12

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In this episode of Data Analytics Chat, host Ben Parker welcomes Tony Giordano, the Senior Partner and VP for Global Data Platform Services at IBM. They discuss Tony's extensive career, including pivotal moments and lessons learned from working globally in the data space. 

The conversation covers the transformative impact of Gen AI, the evolution of data architecture, and the strategic integration of AI into business processes. Tony shares valuable insights on navigating technological advancements, maintaining domain expertise, and preparing for a future driven by data innovations. 

00:00 Introduction to the Exciting World of Data Consulting
01:08 Welcome to Data Analytics Chat
01:45 Tony Giordano's Career Journey
05:31 The Impact of Working in Different Countries
08:48 Leading a Global Team at IBM
10:43 Cultural Lessons from Japan
22:56 Career Setbacks and Lessons Learned
24:45 The Future of Data and AI
28:58 The Calculator Debate and Modern Tools
30:31 The Importance of Domain Expertise
32:08 Celebrating Data Luminaries
33:29 The Evolution of Data Patterns
35:40 The Shiny Object Syndrome
39:48 The Role of Gen AI in Business
44:20 Cultural and Organisational Challenges
48:57 The Future of Data and Gen AI

Thank you for listening!

What Happens When We Adopt AI – The Change Management Journey13 Aug 202500:34:17

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Kartick Kalaimani, VP at Dentsu, joins Ben Parker to demystify AI adoption and its critical human element. This insightful episode delves into common misconceptions about AI, highlighting the importance of clean data, clearly defined use cases, and strong change management. Kartick shares his extensive career journey and provides actionable advice on bridging the gap between technology and people, emphasising that successful AI transformation is ultimately a human journey focused on belief and adoption.

In this episode, you will learn:


*   Kartick's four key career phases: mastering operations, quality and transformation, scaling transformation across finance and media, and data transformation.
*   The importance of pushing beyond your comfort zone for career growth and leadership development.
*   How to overcome major career setbacks by learning from challenges and focusing on the human side of change.
*   Kartick's unique edge in connecting business value, technology, and people.
*   Common misconceptions about AI adoption, such as viewing it as "plug and play" or self-sufficient.
*   Why AI transformation is fundamentally a human journey that requires active engagement and belief.
*   How businesses can effectively align AI adoption with real business problems rather than just chasing trends.
*   Strategies for leaders to address fear, resistance, and cultural challenges during AI transformation.
*   The crucial role of reskilling and upskilling the workforce for successful AI integration.
*   Advice for non-technical professionals on how to effectively participate in the AI journey.
*   Why the biggest myth about AI is that it serves as a "silver bullet" solution.
*   Kartick's vision for a future AI-ready organisation where humans and AI co-create value.

Timestamps:
00:02:00 Welcome and Introduction
00:02:40 Kartick's Career Journey: Four Key Phases
00:05:45 Pushing Beyond Your Comfort Zone for Growth
00:08:00 Gaining Leadership Expertise and Mentorship
00:09:20 Major Career Setbacks and Their Lessons
00:12:30 Finding Your Edge in a Competitive Environment
00:13:50 Common Misconceptions in AI Adoption
00:18:10 Aligning AI with Real Business Problems
00:21:50 Human and Cultural Challenges in AI Transformation
00:24:00 How Leaders Can Approach AI Challenges
00:26:00 Advice for Non-Technical Listeners on AI
00:27:30 Busting the Biggest Myth About AI in Business
00:30:10 What a Well-Transformed AI-Ready Organisation Looks Like
00:32:00 Turning Point in Successful Change Initiatives
00:33:15 Closing Remarks

Thank you for listening!

Why Have Firms Not Focused on Data Readiness06 Aug 202500:45:33

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In this episode of Data Analytics Chat, host Ben Parker interviews Nipa Basu, a seasoned data analytics executive. Nipa shares her captivating career journey from pursuing a PhD in economics in India to becoming a Chief Data Officer in the United States. They discuss pivotal moments that shaped her career, the evolution of data science, and what distinguishes good leaders from great ones in the tech industry. They also delve into why many firms struggle with data readiness and the importance of balancing technical expertise with soft skills. 

In this episode, you will learn:

  • Nipa Basu’s career journey from technical contributor to C-suite executive in data analytics
  • The difference between good and great leadership in data science
  • The importance of storytelling and communication skills for data professionals
  • How to build and lead large, high-performing data teams
  • The evolving landscape of data science and the need for continuous learning
  • Why many companies struggle with data readiness before launching AI initiatives
  • Common misconceptions about data readiness and the role of the C-suite
  • Practical steps for organisations to become truly data-ready
  • The impact of organisational culture, skills gaps, and leadership on data success
  • Real-world examples of career setbacks and adaptability in the data industry


00:00 Introduction and Early Career

01:37 Welcome to Data Analytics Chat

02:22 Nipa Basu's Career Journey

03:23 Leadership in Data Science

05:20 Navigating to the C-Suite

00:00 Transitioning Between Roles

21:30 Building and Leading Teams

27:07 Challenges in Data Readiness

41:48 Practical Steps for Data Readiness

45:00 Conclusion and Final Thoughts

Thank you for listening!

Turning AI into ROI: How to Build Value, Not Just Models30 Jul 202500:37:36

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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!

Can We Trust GenAI? 23 Jul 202500:54:19

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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!

The Hidden Barriers to Data Maturity09 Jul 202501:07:25

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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!

How to Lead and Coach High-Performing Data Teams02 Jul 202501:19:08

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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!

What It Really Takes to Drive AI Adoption25 Jun 202500:57:22

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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!

Why Data Projects Keep Failing18 Jun 202500:48:42

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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!

The Gen AI Shift: Data Engineering Redefined11 Jun 202500:35:11

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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 out
  • The key skills, tools, and certifications that are shaping the modern data engineer
  • How generative AI is changing data architecture, pipeline design, and collaboration
  • Why governance, unstructured data, and real-time pipelines are now mission-critical
  • What 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!

BMW’s AI Leader on Soft Skills, Career Growth & Thriving in Tech04 Jun 202500:28:42

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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 data
  • Why curiosity and soft skills matter more than ever in tech
  • How to stay relevant in the age of LLMs and AI disruption
  • Practical tips for transitioning from technical expert to people leader
  • The 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!

How to Lead and Succeed in Data28 May 202500:28:04

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In this episode of Data Analytics Chat, host Ben Parker sits down with Sassoon Kosian, Corporate Vice President of Data Science at New York Life, to explore the journey from early challenges in physics to becoming a leader in the data and AI space.

 

Gain insights into managing high-performing teams, staying relevant in a fast-paced industry, and navigating corporate politics.

 

Key topics include:

 

  • Navigating a career shift from consulting to in-house leadership.
  • Overcoming “orphan initiatives” and creating impactful data solutions.
  • Essential skills for data science success: strategic thinking, technical depth, communication, and adaptability.
  • Staying ahead in the fast-moving world of GenAI.
  • Building strong, trusted relationships with business stakeholders.

 

00:00 Introduction and Guest Welcome

00:40 Career Journey and Early Interests

02:26 Transition to Data Science and Consulting

04:10 Current Industry Challenges

06:56 Key Career Moments and Management Transition

13:04 Challenges in Large Organisations

16:32 Skills for Leadership in Data Science

20:53 Staying Relevant in a Fast-Paced Industry

23:14 Job Market and Advice for Aspiring Data Scientists

25:55 Proudest Achievements and Building Relationships

27:45 Conclusion and Final Thoughts

Thank you for listening!

Safety First: The Six Laws for Safe AI21 May 202500:35:25

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Is ethical AI just a buzzword?


 In this episode of Data Analytics Chat, host Ben Parker chats with Mark Brady, Deputy Chief Data Officer at KBR, who reveals the real risks behind today’s AI systems and why most organisations are unprepared.

 

Mark breaks down the Six Laws of Safe AI, a practical, no-fluff framework for securing the future as AI gains power, autonomy, and physical-world access.
 
 

We also discuss:

 

  • Why “data science” today feels more like alchemy
  • The broken culture of data hoarding in organisations
  • What hiring managers are getting completely wrong
  • How to spot real AI danger before it’s too late
  • Why transparency and interoperability are non-negotiable

 

Episode Breakdown:



00:00 Introduction and Guest Welcome

00:34 Mark Brady's Career Journey

02:01 Transition to Leadership

02:57 Key Moments in Data Science

07:35 Challenges in Data Management

11:56 Hiring the Right Data Scientist

18:15 AI and Security Concerns

23:58 Future of AI and Defensive Measures

34:56 Conclusion and Upcoming Events






Thank you for listening!

What It’s Really Like Being a CDO in 202514 May 202500:47:56

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In this episode of Data Analytics Chat, host Ben Parker sits down with Aaron Hand, Chief Artificial Intelligence Officer at ArcelorMittal, to reveal what life is really like in the C-suite.

 

With a career spanning UBS, Holcim, and now leading AI strategy at one of the world’s largest manufacturing companies, Aaron shares candid insights on the challenges, pressures, and strategic thinking required to succeed as a modern CDO or CAIO.

 

You'll discover:

 

  • What a typical day looks like at the CDO/CAIO level
  • How to juggle innovation, governance, and business delivery
  • Why many CDOs don’t last more than 18 months — and how to survive
  • The power of domain knowledge, adaptability, and knowing your blind spots
  • How a WhatsApp idea revolutionised cement sales
  • Why “AI-first” needs to be more than a buzzword

 

🎧 A must-listen for data professionals, leaders, and anyone eyeing the C-suite in data & AI.

 

Episode Breakdown:

 

00:00 – Introduction and Guest Welcome
 00:41 – Aaron Hand's Early Career Journey
 02:26 – Transition into AI and Big Data
 03:38 – Career Progression at UBS
 05:21 – Leading AI at Holcim
 07:28 – Inside the Role of a Chief AI Officer
 16:39 – Managing Expectations and AI Hype
 25:27 – The Value of Great Mentors and Managers
 26:11 – Listening, Trust, and Collaboration
 26:44 – Innovation from the Ground Up: WhatsApp Sales Case
 28:06 – Workshops, Hackathons & Cross-Functional Teams
 29:34 – Flexibility in Strategy and Delivery
 35:48 – Continuous Learning & Staying Ahead with Podcasts
 40:04 – Major Setbacks, Mergers, and Resilience
 43:16 – Career Reflections and Proud Moments
 46:19 – Final Thoughts and Encouragement for Aspiring Leaders

Thank you for listening!

Breaking Barriers in AI07 May 202500:28:51

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In this episode of the Data Analytics podcast, we welcome Pablo Vega Behar, Director of Machine Learning at Fitch Group. 


Join us for an inspiring conversation with Pablo Vega-Behar, Director of Machine Learning Engineering at Fitch Group, as he shares his journey in the AI industry. From navigating career pivots to leading innovative machine learning projects, Pablo reveals practical strategies for success and leadership in a rapidly evolving field. 

 

00:00 Introduction and Guest Welcome

00:37 Pablo's Journey into Data Science

04:04 Transitioning Industries and Leadership

09:13 Current Industry Challenges in AI

13:00 Career Highlights and Advice

18:42 Staying Relevant and Overcoming Setbacks

26:59 Final Thoughts and Conclusion

Thank you for listening!

Data ROI Unlocked: Turning Analytics into Real Business Value30 Apr 202500:40:40

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In this episode of the Data Analytics podcast, we welcome Milan Dhore, Director of AI Strategy and Cloud Engineering at The Hartford. 

 

Milan discusses his career journey, the pivotal moments that shaped his path in the industry and identifies current challenges in the data and AI space. He offers insights into the importance of ROI, data quality and the evolving landscape of cloud and AI technologies. 

 

Milan also shares career advice for those entering the field, highlighting the importance of continuous learning and strategic thinking.

 

00:00 Introduction and Guest Welcome

00:42 Milan's Early Career and Transition to Data

01:41 Embracing Cloud and Big Data

04:48 The Evolution of Data Engineering

07:53 Challenges in Data Governance and Quality

09:14 AI and Business Value

16:50 Key Moments in Milan's Career

19:45 Overcoming Career Challenges

20:34 Navigating Stakeholder Alignment and Embracing Change

22:23 Overcoming Challenges in Machine Learning

23:57 Skills and Traits for Success in the Field

28:29 Staying Relevant in the Evolving Data and AI Landscape

31:53 Career Advice for Aspiring Data Professionals

36:37 Reflecting on Career Achievements and Future Aspirations

Thank you for listening!

How To Get Right Data Prepared For Generative AI23 Apr 202500:28:26

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In this episode of Data Analytics Chat, we welcome Swetha Devabhaktuni, Head of Data & Analytics at Synechron.

 

Swetha shares her career journey and the pivotal moments that shaped it. In this episode, we discuss the hot topic of getting data ready for generative AI, the importance of data quality and governance, and how companies can overcome common pitfalls when preparing their data for advanced AI applications. 

 

Don't miss valuable insights on leveraging both structured and unstructured data, ensuring data privacy, and developing a data-first risk management strategy.

 

00:00 Introduction and Guest Welcome

00:41 Swetha's Career Journey

05:54 Key Career Moments and Lessons

08:22 Challenges and Setbacks

11:44 Generative AI and Data Preparation

19:51 Governance and Privacy in Data

22:12 Traditional vs. Modern Data Pipelines

24:19 Assessing Data Readiness for Generative AI

28:00 Conclusion and Final Thoughts

Thank you for listening!

Leading with Data in the Age of AI16 Apr 202500:35:39

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In this episode of Data Analytics Chat, we welcome Shaina Boone, Chief Analytics Officer at PHD Media. 

 

Shaina shares her unique career journey from an arts background to becoming a leader in marketing science and analytics. We learn about the pivotal moments that shaped her path, her views on AI's role in marketing, and the essential skills and traits for career growth in the rapidly changing data analytics landscape. 

 

Don't miss this insightful conversation packed with valuable career advice and industry insights!

 

00:00 Introduction and Guest Welcome

00:45 Shaina Boone's Career Journey

02:25 Leadership in Analytics

05:03 Challenges in AI and Analytics

10:57 Key Career Moments and Training

16:23 Advice for Aspiring Analysts

22:41 Staying Relevant in a Rapidly Changing Industry

33:51 Proudest Achievements and Conclusion

Thank you for listening!

You Don’t Need to Code to Succeed in Data: Here’s What Matters Most09 Apr 202500:44:43

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In this episode of Data Analytics Chat, we welcome Robin Sutara, Field Chief Data Strategy Officer at Databricks. 

 

Robin shares her unusual journey starting from the US Army to becoming a Chief Data Officer at Microsoft, and now at Databricks. She discusses key career moments, her dedication to diversity in tech, and how pivoting her role aided her career growth. 

 

Robin emphasizes the importance of mentorship, building a supportive network, and leveraging one's unique strengths and competencies in a career. 

 

Listen for insights on career transitions, leadership in data, and overcoming challenges in the industry.

 

00:00 Introduction and Guest Welcome

01:13 Robin's Early Career and Transition to Microsoft

04:30 Climbing the Ladder at Microsoft

08:20 Transition to Databricks and Current Role

09:23 Insights on Learning and Career Development

16:57 Promoting Diversity and Inclusion in Tech

24:02 Overcoming Challenges and Career Advice

42:10 Final Thoughts and Conclusion

Thank you for listening!

Why Purpose Matters: From Pharma Exec to Startup26 Mar 202500:39:09

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In this episode of Data Analytics Chat, we welcome Oscar Carrasco Zevallos, the former Director of Data at Johnson & Johnson and now a startup founder. 

 

Oscar shares his extensive background in biomedical engineering, AI initiatives in the pharmaceutical space, and the moments that shaped his career. 

 

We discuss the challenges of transitioning from corporate to startup, the importance of soft skills, effective networking, and maintaining relevance in the ever-evolving data and AI industry.

 

00:00 Introduction and Guest Welcome

01:06 Oscar's Early Career and Education

01:48 Transition to AI and Data Analytics

03:57 Leadership and Startup Journey

06:03 Networking and Building a Startup

09:20 Key Career Moments and Challenges

12:13 Soft Skills and Management

24:02 Staying Relevant in a Rapidly Changing Field

28:57 Career Setbacks and Resilience

32:55 Final Thoughts and Career Advice

Thank you for listening!

Why Data is No Longer Just an Enabler19 Mar 202500:32:46

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In this engaging episode of Data Analytics Chat, host Ben Parker interviews Stephen Harris, an industry expert in cloud, data, and AI.

 

Stephen shares his unique career path, which began with his aspirations in air traffic management and evolved into leading data initiatives at prominent global firms, including Microsoft, VMware, Facebook, and Wells Fargo. 

 

He offers insights into the key moments and strategies that shaped his journey, the evolving role of data in businesses today, and the importance of continuous learning. 

 

00:00 Introduction and Guest Welcome

00:57 Stephen Harris' Career Journey

03:17 Evolution of Data Science and AI

06:39 Leadership and Mentorship Insights

13:25 Navigating Challenges and Setbacks

25:49 Career Advice for Aspiring Professionals

28:26 Proudest Achievements and Final Thoughts

Thank you for listening!

From Consultant to Global Data Leader12 Mar 202500:43:55

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In this episode of Data Analytics Chat, host Ben Parker interviews Parag Shrivastava, Head of Data and Analytics Portfolio at Hewlett Packard Enterprise. 

He discusses his career journey, key moments that shaped his path, strategies driving data and AI innovation, and the challenges of managing large global teams. 

Parag offers advice for those looking to enter the data and AI field and highlights the importance of continuous learning and collaboration.


 00:00 Introduction and Guest Overview

01:11 Parag Srivastava's Career Journey

03:59 Transition to the U.S. and Cultural Adaptation

05:54 Key Moments and Career Challenges

08:27 Driving Change and Adoption in Data and AI

17:26 Skills and Traits for Success

21:28 Learning and Staying Relevant

37:54 Advice for Aspiring Data and AI Professionals

40:14 Proudest Achievements and Leadership Insights

43:35 Conclusion and Final Thoughts

Thank you for listening!

How AI and Generative AI is Transforming Healthcare06 Jan 202500:45:52

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In this episode of Data Analytics Chat, we explore how AI and Generative AI is transforming the healthcare industry.

Amit Shukla, VP for Global Consulting Services at IQVIA, joins us.
 
Amit shares his insights on the impact of AI and generative AI in the healthcare sector. We explore the advancements in drug discovery, data integration, and patient outcomes, as well as the challenges of implementing AI technologies. 

We discuss how healthcare organisations can become more data-driven and build a culture of innovation, making healthcare more efficient and accessible worldwide. 

Happy New Year to all!

00:00 Introduction to the Podcast and Guest
00:40 Amit Background and Career Journey
05:42 The Impact of AI in Healthcare
07:15 Accelerating Drug Discovery with AI
14:13 AI in Clinical Trials and Patient Outcomes
20:25 Challenges in Implementing AI in Healthcare
24:04 The Scale of FMCG and Pharmaceutical Industries
25:00 AI's Role in Manufacturing and Supply Chain
26:23 Data Integration and Privacy in Healthcare
29:16 Generative AI in Healthcare
32:11 Marketing Innovations with AI
34:37 Becoming Data-Driven in Healthcare
37:31 Building a Culture of Innovation
42:07 Strategic Focus on Pharmaceutical Companies
45:06 Conclusion and Final Thoughts

Thank you for listening!

Has Gen AI Overshadowed Traditional AI18 Dec 202400:41:40

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In this episode of Data Analytics Chat, we discuss whether generative AI has overshadowed traditional AI models.
 
Hugo Delgado, a Senior Data Executive, joins us.
 
We explore why generative AI is currently dominating conversations. Hugo shares his journey from a fixed-income trader to a data science consultant, offering insights into the challenges and limitations of AI adoption. 

The topics covered include the differences between generative and traditional AI, the cultural shifts required for AI integration, and how companies can build effective AI strategies. 

00:00 Introduction to the Episode
00:21 Guest Introduction: Hugo Delgado
01:33 Diving into Generative AI
04:23 Generative AI vs Traditional AI
08:10 Challenges in Scaling Gen AI
08:57 Cultural Impact and Change Management
14:50 Traditional AI Solutions and Their Value
21:12 Building Effective AI Strategies39:03 Conclusion and Final Thoughts

Thank you for listening!

Redefining the Workplace: The Power of AI & ML02 Dec 202400:26:29

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In this episode of Data Analytics Chat, we explore the transformative impact of AI and machine learning on the workforce. 

Barbara Widholm, VP of Bionics at State Street, a leading financial services company, joins us.

She shares insights from her nine years at State Street, covering topics like AI's impact on data-intensive tasks, generating strategic insights, and the future of AI in financial services. We discuss strategies for integrating AI, managing resistance to change, and fostering a culture of continuous learning.

00:00 Introduction to AI and Workforce Transformation
00:31 Meet Barbara Widholm, VP of Bionics at State Street
03:06 Impact of AI on Job Roles
05:30 AI: Augmenting vs. Replacing Jobs
07:37 Overcoming Resistance to AI Adoption
12:15 Skills for Success in an AI-Driven World
14:25 Challenges in Integrating AI
15:45 Effective Upskilling and Reskilling Strategies
22:18 Managing Stress and Preventing Burnout
24:51 Advice for AI Newcomers
26:09 Conclusion and Final Thoughts

Thank you for listening!

How AI is Disrupting FinTech20 Nov 202400:42:36

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In this episode of Data Analytics Chat, we explore the transformative impact of data analytics and AI in the fintech sector, particularly focusing on startups and maturing businesses. 

Manil Manohar, Head of Data at Ratepay, a FinTech organisation based in Berlin, joins us.

We discuss many topics, including advancements in AI and analytics, customer experience personalisation, fraud detection, risk assessment, and the operational efficiencies of AI technologies. 

00:00 Introduction to Today's Topic: Fintech and Analytics
00:31 Meet the Expert: Manil Manohar from Ratepay
00:56 The Role of Data in Decision Making
03:27 AI's Impact on the Fintech Industry
07:11 Leveraging Analytics for Market Opportunities
08:58 The Future of Crypto in Fintech
10:27 AI in Business Operations and Decision-Making
13:12 Challenges and Opportunities in AI Adoption
25:00 AI for Customer Experience and Fraud Detection
34:16 Optimising Operations and Reducing Costs with AI
36:26 Balancing AI Power with Data Privacy
38:03 Emerging Trends and Future Predictions in Fintech
42:27 Conclusion and Final Thoughts

Thank you for listening!

Can AI Cure Disease? 13 Nov 202400:35:00

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In this episode of Data Analytics Chat, we discuss the impact of AI on clinical research. 

Ben Gmeiner, Director of Medical Data Strategy and Science at Novartis, a global pharmaceutical organisation, joins us. 

We discuss AI's massive potential to revolutionise healthcare, enhance precision medicine, and improve clinical trials. Ben highlights the importance of integrating AI smoothly into existing workflows, ensuring data privacy, and overcoming regulatory challenges. We explore how AI can boost patient engagement and trial adherence and overcome the biggest barriers.

00:00 Introduction to Data Analytics Chat
00:30 Meet Ben Gmeiner, Director of Medical Data Strategy at Novartis
01:51 The Explosion of Health Data
02:45 AI's Transformative Impact on Clinical Research
04:13 Advancements in Clinical Trials with AI
10:23 Leveraging Health Data for AI Solutions
14:31 Challenges in AI Adoption in Healthcare
25:56 Regulatory Environment and AI Integration
31:39 Improving Patient Engagement with AI
34:04 Conclusion and Final Thoughts

Thank you for listening!

Building a Data Team From Scratch03 Nov 202400:40:42

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In this episode of Data Analytics Chat, we discuss building a data team from scratch.

Spriha Gogia, Senior Director of Data at Ophelia, a US healthcare organisation, joins us. 

As businesses strive to become data-driven to leverage insights, establishing a strong team is essential to being equipped to respond to market changes. We cover crucial topics such as identifying talent, establishing a data-driven culture, handling challenges, and aligning data team goals with overall business objectives, plus much more. 

Gain insights into forming a cohesive and effective data team in today's fast-paced business environment.

00:00 Introduction to Data Analytics Chat
00:27 Building a Data Team from Scratch
01:04 Guest Introduction: Spriha Gogia
02:05 Spriha's Journey into Data and Healthcare
03:18 Key Factors in Building a Data Team
05:50 Challenges and Solutions in Data Team Building
07:24 Hiring Strategies for Startups
13:30 Aligning Data Teams with Business Goals
27:42 Technology Tools for Data Teams
34:10 Measuring Success of Data Teams
37:40 Advice for Data Leaders
40:31 Conclusion and Final Thoughts

Thank you for listening!

Impact of AI and ML on Investment Firms23 Oct 202400:49:54

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In this episode of Data Analytics Chat, we discuss the impact of AI and ML on Investment Firms.

Limor Gultchin, VP of AI/ ML at Berkshire Partner, a Boston based Investment company, joins us. 

This field has had a magical influence across industries and here we explore the profound impact on the investment industry. We cover a range of topics, including current trends, disruptive technologies, and the transformative potential of large language models. 

Learn best practices for AI adoption and common pitfalls and strategies for staying ahead in this rapidly evolving field. 

00:00 Welcome and Introduction
00:19 Guest Introduction: Limor Gultchin
01:16 Limor's Journey in AI and ML
03:13 The Impact of LLMs and AI in Business
05:37 Challenges and Opportunities with AI
08:10 Market Research and Trend Analysis
12:29 Leveraging AI for Innovation and Growth
19:45 Supporting Portfolio Companies with AI
23:19 Hands-On AI Development and Partnerships
25:02 The Role of NLP in Market Research
27:51 Key Lessons for AI Integration in Portfolio Companies
34:34 Challenges in Adopting AI Technologies
40:21 Common Misconceptions About AI
43:44 Importance of Data Quality and Governance
47:36 Staying Updated with AI Advancements
49:43 Conclusion and Final Thoughts

Thank you for listening!

Evolution of Data Governance30 Sep 202400:52:07

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In this episode of Data Analytics Chat, we discuss the evolving world of data governance. 

Eric Falthzik, Data Governance Leader at Nousot, a Data & Analytics consulting business, joins us.  

We discuss the growing importance of data governance in today's data-driven landscape. Learn about the origins, current trends, and future of data governance, how it intersects with data privacy and security, and the crucial role of executive buy-in, organisational change, and continuous improvement in successful implementation. 

Eric also shares real-life examples and practical tips for managing and enhancing data governance strategies across various industries.

00:00 Introduction to Data Analytics Chat
00:23 Meet Eric Falthzik: Data Governance Leader
01:48 The Importance of Data Governance
02:46 Challenges in Data Governance
08:11 Data Governance and Data Privacy
11:53 AI and Machine Learning in Data Governance
17:15 Evolving Roles in Data Governance
27:57 Data Quality Challenges and Improvements
28:57 The Power of Incremental Improvements
29:51 The Importance of Consistency in Data Governance
31:03 The Never-Ending Journey of Data Governance
33:05 Growing Focus on Data Ethics
36:40 Challenges in Implementing Data Governance
42:22 Ensuring Business Value in Data Governance
45:57 Case Study: Successful Data Governance Transformation
49:29 Top Tips for Data Governance
51:58 Final Thoughts

Thank you for listening!

Humans and Data Strategy16 Sep 202400:33:25

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In this episode of Data Analytics Chat, we discuss the complex interplay between data strategy and human elements.

This conversation discusses critical aspects of the guest's five Cs framework (competence, collaboration, communication, creativity, and conscience) and the importance of empathy, communication, and leadership in successful data-driven transformations. 

We advise on overcoming resistance to change, fostering a data-centric culture, and the relevance of continuous training and development in implementing effective data strategies.

Tiankai Feng, Data Strategy and Data Governance Lead at Thoughtworks, a global technology consultancy, joins us. 

00:00 Introduction to Data Analytics Chat
00:29 Meet Tiankai Feng: Data Strategy and Governance Expert
01:35 The Journey to Writing a Book on Humanising Data Strategy
05:45 The Importance of Human Factors in Data Strategy
09:34 Leadership's Role in Data Strategy Implementation
16:39 Overcoming Resistance to Change in Data Initiatives
22:14 Effective Communication and Training in Data Strategy
27:56 Designing Human-Centric Data Strategies
30:44 Measuring the Success of Data Strategy Initiatives
32:37 Conclusion and Final Thoughts

Thank you for listening!

How to Empower Your Data Team02 Sep 202401:10:18

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In this episode of Data Analytics Chat, we will discuss how to get the best out of your data team.

Getting the most out of your team is essential for achieving peak performance and reaching organisational goals. A fully engaged and optimised team can drive innovation, improve efficiency, and deliver better results. 

Peilin Corbanese, Vice President of Analytics at EXL, a global Gen AI and Digital Transformation Management consultancy, joins us. 

00:00 Introduction to Data Analytics Chat
01:03 Meet Peilin Corbanese: From Violinist to Data Leader
03:10 The Journey from Music to Data
07:55 Building a High-Performing Data Team
10:23 The Importance of Communication in Data Teams
14:11 Defining Roles and Responsibilities
22:08 Creating a Collaborative and Inclusive Team
23:04 Psychological Safety and Continuous Learning
31:19 Hiring Challenges and Strategies
39:00 Understanding Self and Others
39:47 The Role of Psychological Tests
41:31 Motivating and Engaging Teams
42:56 Balancing Team Dynamics
45:31 The Importance of Communication
46:37 Challenges in Leadership
49:18 Opportunities in the Insurance Industry
58:24 Encouraging Continuous Learning
01:02:14 Overcoming Productivity Challenges
01:06:01 The Value of Emotional Intelligence in Leadership
01:09:45 Conclusion and Final Thoughts

Thank you for listening!

How Agile is Impacting Data Projects 19 Aug 202400:47:35

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In this episode of Data Analytics Chat, we will discuss how utilising the agile framework can help deliver data projects. 

Incorporating agile into data projects unleashes the power of adaptability and rapid iteration, transforming evolving challenges into opportunities for innovation and unlocking high-impact insights.

Andrew D'Avanzo, Vice President of Data Analytics at Citi, a leading Financial Services company, joins us. 
 
In this episode, we will learn: 

00:00 Introduction to Data Analytics Chat
00:52 Guest Introduction: Andrew from Citi
01:05 Andrew's Journey into Data
04:00 The Importance of Agile in Data Projects
06:44 Agile Development Lifecycle Explained
09:54 Applying Agile to Data Projects
13:12 Managing Changing Requirements with Agile
16:55 Promoting Collaboration with Agile
20:28 Managing Technical Debt with Agile
24:49 Challenges in Adopting New Technologies
26:54 Adopting Agile for Data Projects
29:48 Implementing Agile Methodologies
32:29 User Stories and Acceptance Criteria
35:31 Real-World Agile Success Story
40:42 Scaling Agile for Complex Projects
47:17 Conclusion and Final Thoughts

Thank you for listening!

How to Do Data Engineering05 Aug 202400:54:25

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In this episode of Data Analytics Chat, we explore how to do data engineering. 

Data engineering has become crucial for companies as it enables efficient data management, supports advanced analytics, ensures compliance, and drives data-driven decision-making. It is important for businesses to transform their raw data into valuable insights that inform strategic decisions.  

Samit Korgaonkar, Head of Engineering for Enterprise Data at Google, the global technology giant, joins us. 
 
In this episode, we will learn: 

00:00 Introduction to Data Analytics Chat
00:32 Meet Sumit Korgaonkar: Head of Engineering for Enterprise Data at Google
01:55 The Evolution and Challenges of Data Management
07:38 The Role and Importance of Data Engineering
20:33 Key Components of a Successful Data Engineering Framework
24:17 Designing and Maintaining Robust Data Pipelines
28:31 Choosing the Right Tools for Your Project
30:21 Ensuring Data Quality and Integrity
34:08 Essential Tools for Data Engineering
36:06 Scaling Data Infrastructure
38:49 Compliance and Security in Data Engineering
40:29 Delivering Business Value Through Data Engineering
42:33 Emerging Trends in Data Engineering
46:23 Key Skills for Aspiring Data Engineers
50:22 The Evolving Role of Data Engineers
54:04 Conclusion and Final Thoughts

Thank you for listening!

How Data Engineering Has Changed 22 Jul 202400:42:38

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In this episode of Data Analytics Chat, we look into the evolution of the DBA role into data engineering. 

Data is moving at a fast pace, and this insightful topic will explore how DBAs have transformed into data engineers, mastering data integration and analytics to drive data-driven business insights. 

Brad Lowenstein, Head of Data Engineering at AWS Finance, a global cloud technology company, joins us. 
 
In this episode, we will learn: 

00:00 Introduction to the Evolution of DBA to Data Engineering 
00:26 Guest Introduction: Brad Lowenstein
01:09 Brad's Journey into Data Engineering 
03:39 The Role of a Traditional DBA 
04:39 Technical Advancements Driving the Evolution 
09:12 Skills and Competencies: DBA vs Data Engineer 
14:52 Challenges in Transitioning from DBA to Data Engineer 
20:28 Impact of Cloud Adoption on Data Engineering 
24:34 Essential Tools and Platforms for Data Engineers 
28:51 Advice for Aspiring Data Engineers 
32:15 Future Trends in Data Engineering 
37:02 Conclusion and Final Thoughts


Thank you for listening!

How Can Businesses Make Better Decisions Using Data08 Jul 202400:38:33

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In this episode of Data Analytics Chat, we discuss how businesses can make better decisions using data.  It is a fascinating topic and a crucial one because it empowers companies to make informed, evidence-based decisions that enhance efficiency, competitiveness, and profitability. 

Linda Conrad, a Senior Executive who has worked for several leading global organisations, joins us. 
 
In this episode, we will learn: 

00:00 Introduction to Data-Driven Decision Making
00:24 Meet Linda Conrad: A Data Executive's Journey
02:00 Understanding Data-Driven Businesses
03:45 Leveraging Data for Risk Management
06:41 Building a Data-Driven Culture
11:53 Improving Business Decisions with Data
23:34 Ensuring Data Accuracy and Quality
32:06 Future Trends in Data Analytics
35:58 Conclusion and Final Thoughts

Thank you for listening!

How to Turn a High Volume of Information into Deep Insights24 Jun 202400:45:15

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In this episode of Data Analytics Chat, we look at how to turn a high volume of information into deep insights.  This insightful topic will examine how vast data can be transformed into meaningful insights for informed decision-making. 
 
 Arvind Balasundaram, Executive Director, Commercial Insights & Analytics at Regeneron, a multinational Biotechnology company, joins us. 
 
 In this episode, we will learn: 

00:00 Introduction and Welcome
00:28 Guest Introduction: Arvind Balasundaram
02:42 Importance of Transforming Data into Insights
07:02 Challenges in Handling High Volumes of Data
12:44 Strategies for Collecting High-Quality Data
19:36 Data Cleaning in the Analytics Process
22:20 Data Cleaning and Provisioning
22:45 Tools and Techniques for Data Management
23:49 Challenges with Generative AI
24:32 Advanced Analytics Techniques
28:04 Integrating and Linking Data
30:27 Visualizing and Communicating Insights
40:16 Trends in Data and Analytics
44:37 Conclusion and Final Thoughts

Thank you for listening!

How to Create Data Products to Drive Business Strategy10 Jun 202401:11:04

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In this episode of Data Analytics Chat, we discover distilling insights and creating data products to drive business strategy. This insightful topic covers many exciting areas in today’s data field. 

Florencia Ardissone, Head of Customer Insights at JP Morgan Chase, a multinational Financial Services company, joins us. 

In this episode, we will learn: 

00:00 Introduction and Today's Topic
00:41 Guest Introduction: Florencia Adesone
02:32 Challenges in Data Integration and AI
03:05 Building Robust Data Infrastructure
08:52 Balancing Data Privacy and Insights
16:43 Ensuring Compliance with Data Privacy Regulations
22:24 Prioritizing Features for Data Products
27:17 Strategies for Integrating Multiple Data Sources
33:47 The Journey of Data Integration
34:37 Navigating Vendor Relationships
37:31 Balancing Innovation and Delivery
42:03 Monetizing Data Effectively
49:10 Creating Value-Driven Data Products
52:18 Aligning Data Insights with Business Strategy
57:49 Real-World Examples of Data-Driven Decisions
01:04:42 Concluding Thoughts and Reflections



Thank you for listening!

How AI and Generative AI Has Impacted The Insurance Industry21 May 202400:45:20

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In this episode of 'Data Analytics Chat,' we explore the impact of Artificial Intelligence (AI) and Generative AI (Gen AI) on the insurance industry.

Gabriel Berardi, a Data Insurance Expert based in Germany, joins the podcast.

We share insights into how AI and Gen AI transform claims management, customer service, and fraud detection, dramatically improving efficiency and customer satisfaction.

In this episode, we will learn: 

00:00 Introduction to Data Analytics Chat
00:30 Guest Introduction: Gabrielle Ti
02:33 AI in Insurance: Current Use Cases
08:20 Challenges in Implementing AI in Insurance
14:37 AI's Impact on Insurance Product Design and Pricing
19:39 AI in Risk Assessment and Fraud Detection
23:59 Case Study: AI's Significant Impact
24:10 Lemonade's Record-Breaking Claim Payout
25:11 AI's Role in Fast Insurance Claims
27:22 Upskilling the Insurance Workforce
31:01 Measuring AI's Impact in Insurance
34:16 The Future of Human Insurance Agents
37:35 Technological Trends Shaping Insurance
44:42 Final Thoughts and Farewell

Thank you for listening!

The Impact Of Data Science and AI In The Rail Industry06 May 202400:31:55

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In this episode of Data Analytics Chat, we explore the impact of data science and AI in the railway industry. This interesting discussion provides great insights into our beloved rail industry. 
 
 Olga Spackova, a Data Science Team Lead at KONUX, a startup organisation based in Germany, joins the podcast.  


 In this episode, we will learn: 

00:00 Introduction and Welcome
00:29 Guest Introduction: Olga Spachkova
00:48 Olga's Background and Career Journey
02:36 AI in the Railway Industry
06:07 Challenges and Solutions in Railway AI
08:50 Data Management and Collection
13:23 Ethical and Responsible AI Use
15:51 Machine Learning and Engineering Models
19:00 Future Trends in Railway AI
21:12 Integration and Regulatory Challenges
27:51 Measuring AI Effectiveness
29:32 Conclusion and Final Thoughts

Thank you for listening!

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