Data Governance Concerns in the Age of AI
As many organizations make use of generative AI, there is growing concern about data governance issues that may emerge.
What are the main data governance concerns with generative AI?
Organizations are expressing significant concerns regarding data governance when using generative AI. Key issues include security, privacy, transparency, ethical considerations, and the risk of data leakage into vendor AI models. According to a recent survey, two-thirds of organizations reported these apprehensions.
How are organizations preparing for AI adoption?
Organizations are prioritizing AI preparedness as a top data storage focus for 2023. This involves developing strategies that ensure they are equipped to manage data effectively in the context of AI adoption, reflecting a proactive approach to integrating AI into their operations.
What challenges do organizations face in data management?
Organizations are facing several data management challenges, including the need to move large volumes of data seamlessly, prepare for AI and cloud services, and engage non-IT personnel in data management processes. A significant 85% of respondents believe that involving non-IT users is crucial for effective data management.
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Data Governance Concerns in the Age of AI
published by CPAC INC.COM
Established in 1994, CPAC is a Woman-Owned IT Reseller with one focus; providing high tech, low cost IT hardware/software and Managed Services to corporate America. We work with Medium and Global clients in order to reduce their network downtime without any extra cost to them. Simply put, CPAC provides you (at no cost) comprehensive technical support to help you maintain and grow your current IT infrastructure…and upon request, we will provide you with a proposal for the necessary technology needed to achieve desired end results.
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