Industry executives and experts share their predictions for 2025. Read them in this 17th annual VMblog.com series exclusive.
By Jimmy Tam, CEO, Peer Software
In 2025, the convergence of advanced data management strategies and sustainable AI practices will redefine how organizations harness technology for a smarter future. Jimmy Tam, CEO of Peer Software predicts a seismic shift in data orchestration, with automated systems streamlining diverse datasets to supercharge AI and machine learning applications.
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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ABOUT THE AUTHOR
Jimmy Tam is the CEO of Peer Software, a global software company focused on simplifying file management and orchestration for enterprise organizations since 1993. Jimmy is a 25 year veteran of enterprise software solutions and works with customers and partners daily on architecture, planning and design of IT infrastructure solutions that meet the complex demands of data storage, access, protection, and sharing across distributed employees, partner firms, and customers.