Data Analytics Chat

• Challenges, Successes, and Transformations of Generative AI

  Send us a textIn 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 harness AI’s potential fully.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

  Send us a textIn 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

  Send us a textIn 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

  Send us a textIn 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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• How Hard Is It to Get Things Done in Data Projects

  Send us a textIn 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 Chat00:07 Guest Introduction: Juan Gorricho Career Journey01:00 Early Career and Education01:37 The Intersection of Data, Technology, and Business06:05 Challenges and Success in Data Projects11:46 Managing Expectations in the AI Hype Cycle15:25 Leadership Lessons and Team Management23:36 Influences and Principles of Leadership27:22 Breaking into Leadership: Overcoming Fears and Embracing Change29:56 The Importance of Servant Leadership30:45 Challenges in Data Projects: Business Alignment and Adoption34:23 Human and Cultural Roadblocks in Data Projects43:22 The Role of Communication in Data Project Success52:03 Overcoming Obstacles and Achieving Success in Data ProjectsThank you for listening!

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