Partially Redacted: Data, AI, Security, and Privacy Introduction to Data Governance with Skyflow’s Ashley Jose
In this episode, Ashley Jose, a product lead at Skyflow with a decade of experience in SaaS product management, explores the importance of data governance in today's data-driven world. He discusses the impact of growing data on business decisions and highlights the key components of an effective data governance framework.
Ashley addresses misconceptions, explains the evolution of data governance, and its intersection with data privacy regulations. He also explores how data governance works within Skyflow's data privacy vault approach.
Ashley addresses common misconceptions about data governance and dispels myths surrounding the topic. He then delves into the evolution of data governance in the face of big data and technological advancements, highlighting both new challenges and opportunities. He explains how organizations must navigate privacy regulations like GDPR and incorporate them into their data governance strategies.
Drawing on Skyflow's expertise in data privacy vaults, Ashley explains how data governance functions within their approach. He demonstrates how this approach addresses challenges related to controlling access to sensitive data.
Ashley provides practical advice for engineers and technical professionals looking to enhance their involvement in data governance initiatives.
Topics:
- How has the growth of data that businesses store, process, and analyze impacted how they make business decisions?
- Can you explain what data governance is and why it is important in the context of today's data-driven world?
- What are the key components of a comprehensive data governance framework?
- What are the main challenges organizations face when implementing effective data governance practices? How does data governance impact engineers and technical teams directly? What role do they play in ensuring successful data governance?
- What are some common misconceptions or myths about data governance that you often come across? How would you address them?
- With the rise of big data and advancements in technology, how has data governance evolved over the years? Are there any new challenges or opportunities that have emerged?
- How does data governance intersect with data privacy and compliance regulations, such as GDPR or CCPA?
- In the context of Skyflow and the data privacy vault approach to the management of sensitive data, how does data governance work?
- How does a data privacy vault help address some of the challenges with controlling access to sensitive data?
- Are there any emerging trends or technologies in the data governance space that you find particularly interesting or promising?
- Do you have any practical advice or recommendations for engineers and technical professionals who want to enhance their understanding and involvement in data governance initiatives within their organizations?
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