Advertise on podcast: Data Analytics Chat

In this episode of Data Analytics Chat, we welcome Elena Alikhachkina, a four-time Chief AI and Data Officer with Fortune 500 companies, and a board advisor. Elena shares her journey in data analytics and AI spanning over 25 years, covering key transitions in her career and the importance of blending business acumen with technical expertise.  The discussion focuses on the critical shift from data projects to data products, highlighting the need for product skills in the age of AI. Elena emphasises the importance of understanding the business, building customer-centric solutions, and investing in both technical and soft skills for AI leaders. Her insights provide a roadmap for anyone looking to excel in data and AI roles in today's dynamic business environment. 00:00 Introduction to the Factory Process and Data Science Challenges 01:00 Welcome to Data Analytics Chat with Elena Alikhachkina 01:33 Ena's Career Journey and Insights 04:14 The Importance of Understanding Business Processes 09:17 Shifting from Data Projects to Data Products 11:08 The Need for a Product Mindset in AI 15:06 Challenges in Adopting a Product Mindset 16:39 Encouraging Proactivity and Collaboration 18:08 The Role of Education in Driving Change 22:34 The Need for Reeducation in Technology and Data 22:50 Embedding Data and AI in Business Curriculum 23:14 The Changing Role of Data in Leadership 24:01 The Importance of Soft Skills in Tech 25:31 Trust in Data and Technology 26:30 Essential Skills for the Future 28:20 The Shift to Product-Centric Roles 29:50 Bridging the Gap Between Business and Tech 30:16 Investing in Personal Development 31:19 Understanding the Customer's Needs 34:00 The Value of Product Thinking in AI 35:47 Career Growth Through Business Understanding 41:03 Final Thoughts and Call to Action Thank you for listening!

In this episode of Data Analytics Chat, we’re joined by Phoenix Pei, SVP, Analytics Manager at Truist, to explore how the roles of Data Scientists and Data Engineers are changing in the age of AI and automation.   Phoenix explains why trust, leadership alignment, and business understanding are becoming more critical than technical skills alone, and how generative AI is reshaping how data teams work. We discuss which skills will matter most in the future, why so many data initiatives struggle to deliver impact, and how organisations should rethink team structure and collaboration to stay relevant.   A practical conversation for leaders and practitioners who want to build data teams that actually deliver value in an AI-driven world. 00:00 Introduction to Scaling Analytics and AI 00:50 The Role of Leadership in Data Science 01:24 Exploring the Future of Data Roles 01:46 Guest Introduction: Phoenix Pei 02:18 Phoenix's Career Journey and Insights 09:34 The Evolution of Data Roles with AI 11:08 The Importance of Business Understanding in Data Science 24:54 Challenges in Data Science Implementation 25:07 Leadership Alignment and Data-Driven Decisions 33:53 Preparing Data Teams for the Future 37:17 Conclusion and Final Thoughts Thank you for listening!

In this episode of Data Analytics Chat, Ben speaks with Durai Rajamanickam, a senior AI leader, about what it really takes to turn AI ambition into something organisations can trust and scale. They discuss why many AI initiatives fail long before the technology becomes the issue, the risks of hype-driven decision-making, and the importance of clear goals, strong business ownership, and measurable outcomes. The conversation explores the tension between speed and governance, when to build vs buy, and why trust and governance are not obstacles to progress, but foundations for sustainable AI adoption. This is a practical, experience-led discussion for leaders who want to build AI capabilities that last. 00:00 Introduction: The AI Hype and Strategy Revisions 01:09 Guest Introduction: Meet Durai Rajamanickam 02:09 AI Initiatives: Technical Capabilities and Investments 03:46 Build vs Buy: Evaluating AI Tools 05:36 Common AI Missteps: Hype and Misdiagnosis 07:41 Successful AI Implementation: Business and Technical Alignment 09:11 Governance and Trust: The Key to Sustainable AI 09:47 Real-World Examples: When AI Falls Short 12:22 Balancing Speed and Governance in AI 15:22 Decision-Making in AI: Trust and Autonomy 21:03 Final Thoughts: Advice for AI Leadership 23:04 Conclusion: Wrapping Up the Discussion Thank you for listening!

Most organisations are experimenting with generative AI. Very few are turning it into a real business impact. In this episode of Data Analytics Chat, we speak with Nayan Paul, Managing Director and Chief Architect for Generative AI at Accenture, about what it really takes to move from pilots to production. They explore why GenAI adoption is fundamentally a leadership and operating-model challenge, not just a technology challenge, covering business ownership, data readiness, governance, and the balance between speed and responsibility. This is a practical, honest conversation for leaders who want GenAI to become a real capability inside their organisation, not just another experiment. 00:00 Introduction to Generative AI Challenges 01:08 Guest Introduction: Nayan Paul from Accenture 01:46 Nayan Paul's Role and Responsibilities 05:08 Early Experiments and Lessons Learned 07:02 From Experimentation to Value Creation 10:14 Business Adoption and Technology Enablement 16:15 Framework for Successful AI Implementation 29:24 Balancing Speed with Responsibility 34:09 Advice for Moving from Curiosity to Impact 38:43 Conclusion and Final Thoughts Thank you for listening!

In this episode of Data Analytics Chat, we welcome Sujit Narapareddy, Head of Data and Analytics at AWS Sales. Sujit shares his insights on AI transformation in large enterprises, likening it to the shift from paper maps to GPS.  We discuss the critical role of human judgment in the age of AI, how organisations can effectively integrate AI into their workflows, and the importance of building a strong data foundation. Sujit shares his personal journey from a technical role to a leadership position, highlighting the importance of business intuition and continuous learning.  The conversation covers how AI will change organisations by embedding insights into workflows and reducing the friction between knowing and acting.  00:00 Introduction to AI Transformation 01:42 Guest Introduction: Sujit Narapareddy 02:08 Exploring AI's Impact on Organisations 02:32 Sujit's Career Journey and Leadership Insights 09:21 The Role of AI in Enhancing Human Roles 16:17 Challenges and Strategies for AI Integration 28:28 Preparing for the Future of AI 30:02 Conclusion and Final Thoughts Thank you for listening!

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

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

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

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

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

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

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!

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!

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!

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!