In this episode of the Data Analytics podcast, we welcome Pablo Vega Behar, Director of Machine Learning at Fitch Group.

Join us for an inspiring conversation with Pablo Vega-Behar, Director of Machine Learning Engineering at Fitch Group, as he shares his journey in the AI industry. From navigating career pivots to leading innovative machine learning projects, Pablo reveals practical strategies for success and leadership in a rapidly evolving field.

00:00 Introduction and Guest Welcome

00:37 Pablo's Journey into Data Science

04:04 Transitioning Industries and Leadership

09:13 Current Industry Challenges in AI

13:00 Career Highlights and Advice

18:42 Staying Relevant and Overcoming Setbacks

26:59 Final Thoughts and Conclusion

Thank you for listening!

In this episode of the Data Analytics podcast, we welcome Milan Dhore, Director of AI Strategy and Cloud Engineering at The Hartford.

Milan discusses his career journey, the pivotal moments that shaped his path in the industry and identifies current challenges in the data and AI space. He offers insights into the importance of ROI, data quality and the evolving landscape of cloud and AI technologies.

Milan also shares career advice for those entering the field, highlighting the importance of continuous learning and strategic thinking.

00:00 Introduction and Guest Welcome

00:42 Milan's Early Career and Transition to Data

01:41 Embracing Cloud and Big Data

04:48 The Evolution of Data Engineering

07:53 Challenges in Data Governance and Quality

09:14 AI and Business Value

16:50 Key Moments in Milan's Career

19:45 Overcoming Career Challenges

20:34 Navigating Stakeholder Alignment and Embracing Change

22:23 Overcoming Challenges in Machine Learning

23:57 Skills and Traits for Success in the Field

28:29 Staying Relevant in the Evolving Data and AI Landscape

31:53 Career Advice for Aspiring Data Professionals

36:37 Reflecting on Career Achievements and Future Aspirations

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In this episode of Data Analytics Chat, we welcome Swetha Devabhaktuni, Head of Data & Analytics at Synechron.

Swetha shares her career journey and the pivotal moments that shaped it. In this episode, we discuss the hot topic of getting data ready for generative AI, the importance of data quality and governance, and how companies can overcome common pitfalls when preparing their data for advanced AI applications.

Don't miss valuable insights on leveraging both structured and unstructured data, ensuring data privacy, and developing a data-first risk management strategy.

00:00 Introduction and Guest Welcome

00:41 Swetha's Career Journey

05:54 Key Career Moments and Lessons

08:22 Challenges and Setbacks

11:44 Generative AI and Data Preparation

19:51 Governance and Privacy in Data

22:12 Traditional vs. Modern Data Pipelines

24:19 Assessing Data Readiness for Generative AI

28:00 Conclusion and Final Thoughts

Thank you for listening!