The advent of generative AI has brought about a new era of data risks, including sensitive data leakage through large language models and increased regulatory requirements. To successfully navigate this environment, organizations must revisit the core principles of data management and ensure a sound approach to augmenting large language models with enterprise data. This necessitates refreshing data governance, improving controls and auditability, and preparing data for gen AI. IBM’s gen AI data ingestion factory offers a managed service to address these data challenges, providing scalable data ingestion, regulatory compliance, and data privacy management. By leveraging this service, enterprises can reduce time spent on data integration, ensure compliant data usage, mitigate risk, and achieve consistent and reproducible results from LLMs and gen AI solutions.
Navigating Data Risks in Generative AI
Unlocking the full potential of enterprise data for generative AI requires a departure from traditional data management patterns and skills.
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