Safeguarding AI Innovation - Implementing Robust Data Governance Framework for LLMs in Enterprise Environments
As organizations adopt foundational LLMs, their competitive edge will increasingly depend on leveraging unique databases as inputs to these models and AI applications. Therefore, having a comprehensive data governance framework that ensures data quality, compliance, and security becomes paramount for most businesses.
In this white paper, we're diving into the world of data governance in the age of generative AI, taking a closer look at how a comprehensive data governance program can help elevate the accuracy and effectiveness of your AI and LLM initiatives. Here's an overview of what you need to know:
- Key elements of a complete data governance framework
- How to assess your priorities
- Ways to implement data governance strategies for LLMs
- Tools and tips to manage and monitor your program performance
Whitepaper
As organizations adopt foundational LLMs, their competitive edge will increasingly depend on leveraging unique databases as inputs to these models and AI applications. Therefore, having a comprehensive data governance framework that ensures data quality, compliance, and security becomes paramount for most businesses.
In this white paper, we're diving into the world of data governance in the age of generative AI, taking a closer look at how a comprehensive data governance program can help elevate the accuracy and effectiveness of your AI and LLM initiatives. Here's an overview of what you need to know:
- Key elements of a complete data governance framework
- How to assess your priorities
- Ways to implement data governance strategies for LLMs
- Tools and tips to manage and monitor your program performance
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Safeguarding AI Innovation - Implementing Robust Data Governance Framework for LLMs in Enterprise Environments
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Safeguarding AI Innovation - Implementing Robust Data Governance Framework for LLMs in Enterprise Environments
Effective data governance ensures that the data feeding into these advanced AI and LLM systems is accurate, secure, and compliant with regulations.
Key results
As organizations adopt foundational LLMs, their competitive edge will increasingly depend on leveraging unique databases as inputs to these models and AI applications. Therefore, having a comprehensive data governance framework that ensures data quality, compliance, and security becomes paramount for most businesses.
In this white paper, we're diving into the world of data governance in the age of generative AI, taking a closer look at how a comprehensive data governance program can help elevate the accuracy and effectiveness of your AI and LLM initiatives. Here's an overview of what you need to know:
- Key elements of a complete data governance framework
- How to assess your priorities
- Ways to implement data governance strategies for LLMs
- Tools and tips to manage and monitor your program performance
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