How Active Archives support modern AI strategies

The focus of the annual report is on the impact of AI/ML and how best to plan for effective data management and governance. While much of the focus of AI adopters has been on the front end of data processing and analytics, the sustainability of AI workflows must now address the long-term retention and protection of what will be massive and persistent volumes of data.

It is safe to say that the rising tide of AI will increase demand for all aspects of IT facilities including floor space, power, cooling, and infrastructure related to compute, networking, and storage. With the IT industry already under pressure for cost controls, energy consumption, and the reduction of the carbon footprint, careful planning will be required at all stages of the AI workflow. Investments in active archiving must move from a data project mindset to a data program initiative with sustainability planning across all industries and verticals.

When it comes to storage, we believe a modern strategy is needed to manage the growth and volume of data, and this can be provided by a sensible active archive implementation. For today’s data-driven and AI-based organizations, intelligent data management and the many benefits of active archiving will be an imperative go-forward strategy.