Data Governance and Quality within GenAI

In this episode, Amir Bormand interviews Amie Bright, VP of Enterprise Data and Analytics at GitLab, about the importance of data governance, especially in the context of generative AI. Amie explains GitLab's role as an AI-powered DevSecOps platform and discusses strategies to ensure data quality and governance in modern data volumes. The conversation covers the traditional challenges data teams face and the transformative impact of generative AI on those practices. Amie also shares insights from her career and current work at GitLab, emphasizing the need for proper metadata management, certified data sources, and the shifting perception of data governance from a hindrance to an enabler of efficiency and innovation. 

Highlights

01:29 Data Governance and Its Importance

04:53 Challenges and Evolution with Generative AI

07:52 Changing Perceptions and Measuring Accuracy

13:23 Future of Data Governance with Gen AI

Guest:

Amie Bright is an accomplished data and analytics leader with expertise in data management, architecture, integration, warehousing, science, and business intelligence. She excels at creating data strategies that align with long-term organizational goals.

Amie is skilled in leading data teams to implement modern, cloud-based data solutions, including ingestion, pipeline orchestration, repositories, governance, security, advanced analytics, and business intelligence.

She effectively motivates diverse teams and builds strong relationships across organizational boundaries to achieve analytics objectives.

LinkedIn: https://www.linkedin.com/in/amie-bright-03329820/

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