AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
AI Education Series: Data Debt [AI Today Podcast]
Feb 16, 2024
The podcast discusses the concept of data debt in organizations, highlighting how data-related problems accumulate over time. It explores the impact of big data on exacerbating the issue and emphasizes the importance of managing data effectively. The episode also touches on the importance of AI education and audience engagement for better understanding of AI concepts and project management.
06:49
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Quick takeaways
- Data debt accumulates over time from multiple data systems, affecting data quality, governance, and security.
- Managing data debt requires consolidation, standardization, and continuous governance to control challenges and prepare for changes.
Deep dives
Understanding Data Debt
Data debt refers to the accumulation of data-related problems over time due to the use of various data systems and the storage of data for different purposes. This debt leads to issues in data quality, flexibility, governance, and security. As data volumes grow, the challenge of managing data debt increases, hindering effective analytics, decision-making, and data accessibility. Data debt also poses risks to data security, privacy, and compliance, and adds high costs for maintaining and managing duplicate or obsolete data systems. Despite advancements in technology, adding more systems often exacerbates the data debt problem, necessitating a focus on process and method instead.
![AI Education Series: Data Debt [AI Today Podcast]](https://www.cognilytica.com/wp-content/uploads/2024/02/Data-Debt-150x150.png)
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