Data Stewardship, Data Product Management, Data Governance and AI with Tim Gasper and Juan Sequeda
Oct 12, 2023
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Tim Gasper, data stewardship and data product management expert, and Juan Sequeda, data governance and AI specialist, discuss the evolving role of data stewardship and governance. They explore combining roles and rebranding as data enablement, automation of tasks with AI, regulations and accountability, and the importance of data products in the future.
Data stewards can upskill to become data product managers and shift towards a value-focused approach to governance.
AI technologies can automate manual tasks in data stewardship, but individuals proficient in using AI are crucial for supporting automation and compliance.
Deep dives
Data Stewardship and Data Product Management
The podcast hosts discuss the evolving roles of data stewardship and data product management in the context of data governance. They question the traditional view of governance centered around defensive data stewardship and propose a shift towards a more value-focused approach. They suggest that data stewards could upskill and become data product managers, combining their understanding of data with a focus on building valuable data products. They also highlight the importance of reframing governance and stewardship for greater excitement and engagement. The hosts emphasize the need for a paradigm shift and emphasize the three key aspects of successful data governance: making money, saving money, and mitigating risk. They discuss the impact of AI on these roles, highlighting how AI technologies can automate manual tasks such as creating data dictionaries and detecting personally identifiable information (PII). They emphasize the need for organizations to leverage AI technologies to enhance productivity and efficiency in data stewardship and governance. The hosts also discuss the shifting ratio between IT and the business due to the automation and scalability provided by AI. They stress the importance of incorporating AI into the data ecosystem to streamline processes and ensure compliance with evolving regulations. The discussion concludes by highlighting the changing landscape of data governance and stewardship, advocating for a shared responsibility model and AI-driven automation to effectively manage data products and ensure compliance with privacy regulations.
Impact of AI and Regulatory Environment
The hosts delve into the impact of AI and the regulatory environment on data stewardship. They discuss the increasing use of AI technologies to automate tasks such as generating data descriptions and detecting personally identifiable information (PII). They emphasize that while AI can automate a significant portion of stewardship work, individuals who know how to effectively use AI technologies are key to supporting this automation. They highlight the need for organizations to adopt AI models and technologies to accelerate data governance tasks and increase productivity. The hosts also emphasize the significance of evolving regulatory environments and the challenges of complying with multiple regulations across different states and regions. They highlight AI's potential in helping organizations navigate complex regulations and maintain compliance by automating tasks such as metadata generation. The hosts stress the importance of AI training and knowledge-sharing within organizations to leverage AI technologies effectively and comply with evolving regulatory requirements.
Fractured Regulatory Landscape and Accountability
The hosts discuss the complex and fragmented nature of regulatory environments, citing examples such as GDPR, CCPA, and various state-specific privacy laws. They acknowledge the challenges organizations face in complying with these diverse regulations and highlight the need for AI to assist in managing compliance. They stress the importance of shared responsibility and accountability in complying with privacy regulations and suggest that responsibility for ensuring compliance should be spread across the organization rather than relying solely on data stewards. The hosts reference the need for employees to undergo AI and security training and emphasize the importance of connecting privacy regulations to specific data products. They also highlight the role of AI in automating manual tasks related to data modeling and suggest that architects and data modelers should focus more on connecting data models to business needs and value creation. The hosts conclude that organizations need to rethink their approach to data stewardship, data governance, and compliance, fostering a culture of shared responsibility and utilizing AI technologies to streamline processes and ensure data regulatory compliance.
The Future of Data Stewardship and Governance
In their final reflections, the hosts recognize the importance of data stewardship, acknowledging that it is a necessary and evolving role. They propose that data stewardship be integrated into the responsibilities of data product managers and that the focus shift towards building valuable data products. They stress the need for process automation and scalability, facilitated by AI technologies, to address challenges in data governance and stewardship. The hosts anticipate a future where data governance is centered around value creation and data product management. They also emphasize the role of empathy, curiosity, and understanding the business in successful data stewardship and governance. The hosts conclude by inviting listeners to share their thoughts and topic preferences, expressing their commitment to diversity and inclusivity in the podcast.
What's the state of data stewardship today and where is it going? Will data stewards continue to exist? How is this evolving with respect to data products? And what is the impact of AI? All of these questions and more is what Tim and Juan ranted about in this episode.
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