Developing a cohesive framework for integrating these scattered insights is crucial. To ensure sustainable growth, companies must stabilize the rapid proliferation of enterprise data; create a cloud-like consumption model on-premises to counteract the threat of cyberattacks; and consistently strive to reduce costs and boost productivity.
“What businesses require is a singular, intuitive platform that integrates seamlessly with their existing data ecosystem, providing a consistent and reliable way to access and leverage information for maximum impact.”
The solution is a unified, software-defined, and virtualized information infrastructure that seamlessly integrates data storage, processing, and management across hybrid cloud environments, enabling a typical information architecture and management ecosystem. Ian Clatworthy, Head of Information Platform Product Advertising at Hitachi Vantara, defines an information platform as “an integrated suite of technologies designed to meet a company’s data requirements, ensuring seamless storage, supply, governance, and security for the organization.”
By 2028, Gartner predicts that consolidated information storage platforms will account for a staggering 70% of file and object storage, a significant increase from the 35% mark in 2023, nearly doubling their market share within just five years. Accordingly, infrastructure and operations leaders are urged to prioritise the development and deployment of scalable storage platforms in order to stay ahead of evolving enterprise demands.
What does a modern data-driven business look like? A seamless integration of disparate systems and stakeholders, facilitating informed decision-making across the organization. By leveraging advanced analytics and artificial intelligence, companies can unlock new opportunities, optimize processes, and create a competitive edge. In this era of rapid digital transformation, the importance of effective information management cannot be overstated.
Historically, businesses have typically stored diverse types of data – file, block, and object-based records – in isolated, compartmentalized systems. Why change now? Due to the overwhelming influence of digital transformation and AI, traditional data storage approaches fall short in meeting today’s business demands.
As digital transformation accelerates, companies are realizing that a one-size-fits-all approach to storage is no longer sufficient to manage their rapidly growing data volumes and shifting business needs. The intricacy of prevailing information dynamics poses significant obstacles to meaningful transformation efforts.
When organisations transition to hybrid cloud environments, Clatworthy suggests that they might uncover, for instance, that mainframe or core data resides within isolated silos – block storage operating independently on infrastructure, applications functioning optimally with file storage, another silo dedicated to public cloud, and a separate VMware stack. The result’s elevated complexity and
valuation of their IT infrastructure, thereby compromising both flexibility and effectiveness.
Clatworthy posits that once we enter the realm of generative AI, which will permeate every aspect of life, a massive influx of information will ensue, necessitating streamlined management systems to facilitate consumption and utilization by various stakeholders. The platform is readily accessible here.
