Data Analytics Chat

• Why Hiring And Retaining Top AI Talent Has Become Harder Than Ever

  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 Philosophy00:14 The Importance of Continuous Learning00:44 Challenges in the AI and Data Science Field01:20 Guest Introduction: Misha Ky02:24 Misha's Career Journey03:43 Current Excitements in AI and Data Science06:09 Navigating Human Elements in Claims07:37 Leadership Challenges and Lessons11:28 The Value of Individuality in Leadership19:31 Advice for Aspiring Data Leaders29:52 Hiring Challenges in AI and Data Science37:02 Finding the Right People for the Job37:23 The Importance of Critical Thinking37:41 Authenticity in Interviews38:26 The Role of Technology in Interviews38:51 Evaluating Candidates Beyond Technical Skills41:36 The Misconception About Technical Skills42:25 Personality and Attitude in Hiring44:21 Challenges in the Job Market48:55 Investing in Junior Staff01:04:33 Retention Strategies for Top Performers01:10:03 Future of the Hiring Landscape01:13:42 Conclusion and Final ThoughtsThank you for listening!

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• Why Data Governance & Data Quality Are Important

  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 looks into 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 Learn01:12 Welcome to Data Analytics Chat02:01 Carol Kim's Career Journey02:57 The Role of Data in Real Estate03:38 Adapting to Different Cultures07:54 The Importance of Storytelling in Data09:59 Challenges in Leadership and Career Transitions15:13 The Significance of Data Governance and Quality24:06 Conclusion and Final ThoughtsThank you for listening!

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• The Rise of AI Agents

  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 Insights01:14 Guest Introduction and Career Overview02:45 Transition from Strategy to Implementation04:15 Learning and Adapting in Consulting05:35 Defining Career Moments10:35 Handling Challenges and Stress13:03 Leadership and Team Dynamics14:45 Balancing Technical and Business Skills20:01 Focus and Credibility in Leadership23:18 Introduction to AI Agents23:39 Capabilities of AI Agents24:22 Technical Aspects of AI Agents25:39 Complex Problem Solving with AI Agents28:40 High-Value Use Cases for AI Agents32:14 Team Collaboration in AI Deployment33:19 Challenges in Scaling AI Agents37:21 Data Quality and AI Agents45:12 Future of AI Agents in Enterprises48:17 Conclusion and Final ThoughtsThank you for listening!

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• 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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