Forbes June 26, 2024
Companies increasingly rely on artificial intelligence tools to drive decision-making and streamline operations. But to achieve the best ROI in terms of cost and efficiency benefits, secure and smooth data sharing among AI systems is critical.
There are many tools and strategies organizations can leverage to smartly manage data sharing, from standardizing formats to establishing strict access controls (and more). Below, members of Forbes Technology Council detail these and other best practices for data sharing among AI systems. Read on for practical solutions to safeguard data while optimizing your end-to-end operations.
1. Data Mesh Architectures
Data mesh architectures can accelerate the democratization of AI capabilities across large global organizations. Data meshes are decentralized and domain-driven data architectures that shift responsibilities...
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