Executive Luncheon: Seizing the GenAI Opportunity

Trusted AI needs Trusted Data: Seizing the GenAI Opportunity

Trusted AI is only as reliable as the data that powers it, especially in the burgeoning field of Generative AI. As Large Language Models (LLMs) become increasingly integral in decision-making processes, it’s imperative for organizations to focus on the quality and integrity of their private data sets used for training. The challenge is twofold: Firstly, data must be accurate and unbiased to produce reliable outcomes. Secondly, the data must be securely governed to maintain trust and compliance with privacy laws. As companies strive to seize this GenAI Opportunity, those that excel in search, discovery, and governance of their data will have a significant competitive edge. Their LLMs will not only be more accurate but also more aligned with organizational values, effectively turning data management into a strategic asset. 

• How can organizations ensure the quality and unbiased nature of their private data sets? 
• What are the best practices for data governance and compliance in the context of training large language models?  
• How can effective data search and discovery strategies enhance the performance and reliability of generative ai models?