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?
A significant number of organizations, specifically two-thirds, express concerns related to security, privacy, transparency, ethical considerations, and the risk of data leakage into vendor AI models when employees use AI tools.
How are organizations preparing for AI adoption?
Organizations are prioritizing AI adoption as their top data storage focus for 2023, actively preparing their data management strategies to accommodate the integration of AI.
What challenges do organizations face in data management?
Organizations face several data management challenges, including the need to move data seamlessly without disruptions, prepare for AI and cloud services, and engage non-IT users in the data management process, with 85% believing in the importance of non-IT personnel's involvement.
Data Governance Concerns in the Age of AI
published by Divergent IT
Divergent IT is a tech service operational consulting & strategy firm. Divergent IT partners with CIOs, business owners, and Non-Profits to develop strategy and implementation across their business including: cybersecurity, remote maintenance management (RMM), IT strategy, on-site maintenance and more.
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