
The Missing Piece in AI Adoption: Governance and Accountability
Who is responsible for AI governance
Data archiving is one of the most critical and essential data management tasks organisations need to perform. It allows you to lower your storage costs by reducing the volume of old data you need to store indefinitely and managing your information systems more effectively to ensure accessibility when required.
Data archiving is different from data backup as it refers to moving the data to a separate location instead of a copy of the data. Data archiving is beneficial for companies retaining large volumes of data for regulatory compliance or legal reasons. This can include healthcare organisations that need to keep patient records or financial institutions that need to retain records for regulatory compliance.
Data archiving is often described as “cleaning up” data by prioritising what is kept and archived or deleted.
Who is responsible for AI governance
We’re thrilled to share some fantastic news from last week’s Network Computing Awards 2025 — a night of recognition, innovation, and celebration within the IT industry. 101 Data Solutions was honoured not just once, but twice on the evening, cementing our place as a leading force in data infrastructure and services.
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We are beyond excited to share that 101 Data Solutions has been named a finalist in multiple prestigious categories at the Networking Computing Awards!
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