2025 Predictions From The CEO Of Peer Software

Today we have 2025 Technology Predictions from the CEO of Peer Software, Jimmy Tam, on trends data storage industry.

Rise of Data Orchestration for AI and ML

As more organizations turn to AI for everything from better-informed decision-making and operational efficiency, it’s becoming clear that data needs to be managed more effectively. With data creation becoming ubiquitous, automated data orchestration will gain prominence to aggregate and streamline disparate data sources into AI engines. This will be essential for customizing large language models (LLMs) using methods like Retrieval-Augmented Generation (RAG), tailoring these tools for specific industries or companies.

Transition to Active-Active Data Systems
Traditional backup methods, such as snapshots, are becoming less effective with growing data volumes. Organizations are finding it increasingly challenging to meet recovery time objectives and maintain high availability with these approaches. Active-active systems, which allow simultaneous use and synchronization of data across locations, will emerge as critical not only for reducing recovery times, but also ensuring seamless operations and managing massive datasets.

Focus on Reducing Data Sprawl at the Edge
As distributed workforces and applications continue to grow, companies will increasingly prioritize controlling edge data sprawl. Intelligent systems will relocate unused data from edge locations to centralized or cloud storage, optimizing resource use and minimizing costs.

Continued Adoption of Hybrid Cloud Strategies
Businesses, including major players like Netflix, will increasingly embrace hybrid cloud models. The shift is driven by cost savings, workload optimization, and the need to balance on-premise and cloud environments for better performance and financial efficiency.

Reducing Storage and Power Usage to Meet Environmental Goals

Efforts to minimize storage footprints and power consumption will align with sustainability objectives. Managing data growth, particularly at the edge, will evolve into both a cost-saving strategy and an environmental imperative.

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