Episode 1: The Current State of the Workforce

 
In this inaugural episode of the Data on Tap podcast, hosts Patrick Jacolenne, David Hensley, and Ram Srinivasan discuss the evolving landscape of the workforce as we approach 2025.
 
 

They explore key trends such as the rise of remote and hybrid work, the impact of AI on employment, and the growing gig economy. The conversation emphasizes the importance of adaptability, continuous learning, and building supportive networks to navigate the uncertainties of the job market.

 

The hosts also introduce the Data Thrive Network, aimed at fostering collaboration and career growth among data professionals.

 

Episode 2: The Data Thrive Network

 
In this episode of Data on Tap, host Deb Barnes and guest Patrick Jacolenne discuss the evolving landscape of data analytics and the importance of community and emotional intelligence in navigating career paths.
 

They explore the concept of Data Thrive, a movement aimed at empowering professionals in the data space, emphasizing the need for flexibility, trust, and vulnerability in professional relationships. The conversation highlights the shift in work dynamics and the necessity of diverse perspectives in driving innovation and success in the data-driven economy.takeaways:

 

  • Data transformation is driven by people, not just technology.
  • Emotional intelligence is crucial for data leaders.
  • Networking and community support are essential for career growth.
  • Flexibility in work arrangements is increasingly important.
  • The gig economy offers new opportunities for professionals.
  • Diverse perspectives can lead to innovative solutions.
  • Trust and vulnerability foster stronger professional relationships.
  • Curiosity should take precedence over perfection in the workplace.
  • Unfiltered conversations can lead to valuable insights.
  • The future of work will require adaptability and openness to change.

 

Episode 3: Shifting Left for Data Governance

 
In this conversation, Patrick Jacolenne and Vamsi Kunaparaju delve into the evolving landscape of data governance, particularly focusing on the concept of 'shift left.' Vamsi shares his extensive background in data governance and discusses the importance of integrating governance into the development process, emphasizing the need for preventative controls rather than reactive ones. The conversation explores the role of automation and AI in enhancing data governance, the challenges organizations face in implementing these changes, and the critical need for robust governance in high-stakes industries. They also touch on the importance of understanding the current state of data governance and building trust in data, as well as the future of data governance and the skills required to navigate this evolving field.