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 delves into effective leadership strategies, experimentation, and the value of consistent stakeholder engagement to integrate AI into business operations successfully. 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

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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 AI and data implementation, 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 organizational 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

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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 Organization. Carol talks about her career transformation, the importance of curiosity, authentic leadership, and the role of storytelling in decision-making. The episode also delves 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. Tune in to get insights into navigating a tech-driven career and the pivotal role of data in modern enterprises.

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!