Data Analytics Chat

• The Power of Personalisation: How AI Influences What We Buy

  In this episode of Data Analytics Chat, we sit down with Allison Olson, Senior Vice President of Analytics Solutions at Merkle. Allison shares her inspiring career journey, filled with proud moments, challenges, and valuable leadership insights. She talks about the importance of following your gut, taking risks, and how COVID-19 reshaped leadership attitudes. We then discuss how AI is transforming personalisation and, ultimately, buying behaviour. Allison breaks down the shift from static to dynamic personalisation, exploring how adaptive experiences powered by real-time data guide customer decisions. She also covers the ethical use of AI, strong data foundations, and the transformative role of generative AI in creating truly tailored customer experiences that influence what we buy and why.00:00 Introduction to Leadership and Personal Growth00:21 The Role of Gut Instinct in Decision Making00:52 Challenges and Ethical Concerns in Data Analytics01:34 Welcome to Data Analytics Chat02:12 Alison Olson's Career Journey04:46 The Evolution of Leadership07:11 Impact of COVID on Leadership08:37 Learning from Failures and Taking Risks10:37 Balancing Management and Leadership13:45 Skills and Mindsets for Leadership16:32 Advice for Aspiring Leaders21:01 Introduction to Dynamic Personalisation21:59 The Concept of Dynamic Personalisation23:23 Static vs. Dynamic Personalisation25:34 Real-World Examples of Personalisation27:22 Data Types for Adaptive Experiences29:27 Predictive Signals for User Needs30:42 Balancing Personalisation and Privacy35:12 Challenges in Real-Time Personalisation38:16 Generative AI and Future Possibilities40:05 The Future of Jobs in Data and Analytics43:57 Conclusion and Final ThoughtsThank you for listening!

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• Challenges, Successes, and Transformations of Generative AI

  In this episode of Data Analytics Chat, host Ben Parker welcomes Viji Krishnamurthy, VP and Head of AI and Generative AI at Oracle. With over two decades of experience spanning startups, Samsung, and Oracle, Viji shares her journey from academic research to leading enterprise AI initiatives.Viji discusses pivotal career moments, the transition from scientist to product leader, and the importance of continuous learning and collaboration. The data topic looks into the challenges, successes, and transformations of generative AI in the enterprise. The conversation explores the evolving role of data professionals, the challenges of implementing generative AI at scale, and the cultural shifts required for organisations to fully harness AI’s potential.Viji highlights the need for robust data platforms, evaluation frameworks, and feedback-driven learning, while offering practical advice for aspiring leaders and insights into the future of business.00:00 Becoming Managers of Agents: The New Workplace Paradigm01:19 Welcome & Introduction to Data Analytics Chat02:08 Viji Krishnamurthy’s Career Journey03:47 Influential Mentors and Defining Moments07:41 Transitioning from Scientist to Product Leader10:55 High-Value Problem Solving in Data Science13:23 Overcoming Career Challenges and Breaking Stereotypes18:19 The Evolving Role of Data Professionals21:50 Key Skills and Mindsets for Leadership27:43 Continuous Learning and Staying Ahead in AI32:28 Quantum Physics and the Future of Intelligence38:08 Advice for Aspiring Leaders41:08 Generative AI: Enterprise Challenges44:08 Success Stories and Business Value48:52 Addressing Risks: Hallucinations, Bias, and Trust52:09 Cultural and Organisational Shifts for GenAI Adoption57:05 The Future: Agents, Automation, and Collaboration60:00 Closing Thoughts and PredictionsThank you for listening!

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• How To Define Success ROI

  In this episode of Data Analytics Chat, we welcome Michael Shaw, Senior Vice President of Data and AI at Dow Jones. Michael shares his fascinating career journey, which includes experiences at Google, Facebook, and Instacart. He discusses the key challenges he faced, such as managing hypergrowth during the pandemic, transitioning into leadership roles, and driving ROI in data projects. The discussion examines how to measure success in data initiatives, manage stakeholder expectations, and strike a balance between achieving quick wins and long-term strategic benefits. Michael provides insights on retaining top talent, fostering cultural shifts, and leveraging AI for business growth. 00:00 Introduction and Early Career Lessons01:08 Welcome to Data Analytics Chat01:58 Michael Shaw's Career Journey08:28 Transition to Leadership17:49 Challenges and Overcoming Them28:08 Defining Success and ROI in Data Projects31:26 Leveraging Data for Business Objectives32:04 Building a Core Data Foundation33:05 Managing Stakeholder Expectations34:14 Balancing Quick Wins and Long-Term Benefits35:46 Tactical Approaches to Data Management38:15 Overcoming Data Quality and Governance Issues44:31 Driving Adoption and Cultural Change49:48 Capturing and Communicating Softer Benefits54:31 Evolving Expectations of ROI with AI01:02:11 Setting Realistic Goals for Businesses01:04:58 Conclusion and Final ThoughtsThank you for listening!

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• How To Create Data Standards In Pharma

  In this episode of Data Analytics Chat, host Ben welcomes Priya Gopal, a seasoned professional who has worked with major pharma companies like Takeda and GSK and recently founded her own consulting firm, Inferential Data LLC.  Priya shares her journey from a hands-on database developer to a strategic leader in the field of clinical research. She discusses the importance of cultural readiness for transformation, the role of data standards in drug discovery, and the challenges in implementing these standards across global teams.  Priya also provides insights into balancing regulatory requirements with internal data governance and the potential for cross-industry collaboration to drive innovation in pharma.  00:00 Introduction to Transformation and Leadership01:23 Guest Introduction and Career Journey04:14 Defining Moments and Leadership Insights10:20 Challenges and Lessons in Pharma20:34 Creating Data Standards in Pharma28:42 Balancing Global Regulations and Internal Governance34:18 The Role of AI and Automation39:42 Cross-Industry Collaboration and Future Opportunities44:36 Conclusion and Final ThoughtsThank you for listening!

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• Core Data Principles That Drive Business Value

  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 Faith01:19 Introduction to Data Analytics Chat02:08 Shourabh Mukherji's Career Journey07:07 Challenges and Defining Moments09:47 Building Trust and Stakeholder Management15:57 Key Skills for Leadership22:32 Core Data Management Principles25:38 Understanding Business Needs Before Data Management26:42 Centralised vs. Embedded Data Quality Ownership28:09 The Importance of Needs Analysis in Data Management31:54 Identifying and Prioritising Business Needs34:15 Building a Strong Data Solution Framework40:05 Effective Data Distribution for Decision Making42:53 Aligning Business Objectives with Data Initiatives44:42 Evolving Data Management Strategies with AIThank you for listening!

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