Generative AI has brought new data risks to the tech industry, such as sensitive data leakage through large language models (LLMs), leading to increased regulatory requirements. Organizations need to focus on core data management principles to navigate this environment successfully. This includes validating data protection capabilities, improving controls and oversight, and preparing data for generative AI. IBM has developed the gen AI data ingestion factory, a managed service to address data challenges in gen AI solutions. This service offers scalable data ingestion, regulatory compliance, and data privacy management. By using 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 requires cross-functional expertise, and IBM Consulting offers consulting services and solutions to address these challenges. For more information on AI governance and fighting data risks, visit the provided link. Contact gsbaird@us.ibm.com for further questions.
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Source link: https://www.ibm.com/blog/re-evaluating-data-management-in-the-generative-ai-age/
Re-evaluating data management for generative AI advancements #DataManagement
