Data Hub Strategy for Effective AI and Analytics Governance

Data governance has been around for over a decade, but nothing has underscored the need for clear and effective data governance for business data readiness more deeply than generative AI. While 2023 was the year of the AI rush, in 2024, we will experience a renewed focus on the ethics of data collection and use and strategies for reducing the security risks associated with it.
Information security, data quality and data richness are becoming prerequisites for companies looking to leverage generative AI. But generative AI hinges primarily on unstructured data, which requires a robust data management foundation to leverage its value. This highlights the need for new data integration and data architecture requirements. Enter data hubs. These systems offer a proven data architecture for greater governance of large and complex data.
Watch David Kaaret, Progress MarkLogic's Principal Sales Engineer, to learn how building a data hub can support effective data and AI governance. The webinar covers:
- What the critical components of data governance are
- Why data privacy concerns matter
- How to better secure critical information and proprietary data
- Which governance-first capabilities to look for in a data management tool
- How Progress MarkLogic can help you build a data hub and implement a data governance policy that fits your data
Whatever your data strategy for 2024 looks like, having a strong data management foundation in place is imperative to put the guardrails on your data access.
Intro: 00:00 - 1:38
Data Governance and Generative AI: 1:39 - 7:34
Enterprise Data Challenges: 7:35 - 10:23
The Need for Data Governance: 10:24 - 12:44
MarkLogic and Data Governance: 12:45 - 13:06
MarkLogic and Validity: 13:07 - 19:22
Why Lineage is Hard: 19:23 - 23:35
Data Access and MarkLogic: 23:36 - 26:35
Questions: 26:36 - 35:53
Next Events and Conclusion: 35:54 - 37:35