The data storage conversation is rapidly evolving as businesses grapple with the dual challenges of advancing technology and tightening budgets.
In today's enterprise computing ecosystem, despite economic constraints, integrating artificial intelligence into data management systems plays a critical role in enhancing efficiency and security. This shift to smarter infrastructure is critical for businesses looking to keep up with growing data complexity and cybersecurity threats.
“The big trend in storage…is that we have to bring AI to our data,” said Dave Bellante (pictured right), chief analyst at theCUBE Research, adding that while modern storage solutions are innovative, they pointed out that it needs to be economically viable to meet the requirements. Today's industry demands.
Vellante and theCUBE Research Executive Analyst John Furrier (left) during an exclusive broadcast on theCUBE, SiliconANGLE Media's live streaming studio, today's IBM's “Future-Ready Storage Redefining the Data Center Boundary” event It was started. They are wondering how AI can be integrated into data storage systems to improve efficiency and security, especially as economic pressures tighten IT budgets and demand more innovative and cost-effective solutions. We discussed whether it was important. (*Disclosure below.)
Navigating economic uncertainty: Promoting efficient and scalable IT infrastructure
Organizations are facing changing economic trends, such as rising interest rates, that impact IT spending and infrastructure decisions. Bellante said financial constraints have an immediate impact on technological progress.
“Despite all this AI tailwind, the reality is that IT budgets are not growing,” he said. “Every time the two-year bond goes up, IT budgets get tighter and tighter as CFOs worry about discretionary spending.”
This economic strain is forcing businesses to seek infrastructure solutions that are not only cost-effective, but also energy-efficient and future-proof their operations against disruption. Amid these economic and technological changes, there is also a shift from traditional storage methods to more agile and resilient systems. Bellante added that enterprises are increasingly seeking cloud-like operating models, whether on-premises or hybrid environments, to enhance their ability to seamlessly manage data across different platforms.
“What people want is a cloud-like operating model, either on-premises or in a hybrid,” he said. “Or they want supercloud capabilities that allow them to connect between clouds.”
The focus is on non-disruptive, scalable solutions that respond to rapidly changing data management and security environments.
Hardening infrastructure for data storage and AI and data security
Today's event highlights the critical role of infrastructure in supporting the burgeoning demand for AI and data-centric operations. As AI integration becomes a staple of modern data strategies, the underlying physical and digital infrastructure must be sufficient to support complex data workflows and security measures such as protection from ransomware and cyber-attacks. It must be robust.
“If you can bring ransomware protection and detection to primary storage, it's just an added advantage,” Vellante says. “The adversary is very capable. They come in, steal, wreak havoc, and then leave. So as long as you can identify anomalies at the source of your data in real time or near real time, that's a huge benefit for your customers. Masu.”
As the industry evolves, storage and data management requirements continue to be redefined. Vellante added that storage solutions need to be “robust, super fast, and super cheap,” but the path to achieving these characteristics is changing due to advances in technology. Ta.
The convergence of AI and data management not only enhances operational capabilities, Farrier said, but also poses new challenges in designing infrastructure that can support innovation without causing disruption.
“If you look at the demand for AI right now, developers on the AI side are at an all-time high, but it's all about data, and data needs to run on infrastructure,” he said. Ta. “So infrastructure matters. What's inside matters a lot, and we look at storage and servers. This is where the action is, and this is going to be the pace car that sets the industry agenda. .”
Stay tuned for the full video interview as part of SiliconANGLE and theCUBE Research's coverage of IBM's “Future-Ready Storage Redefining the Data Center Boundary” event.
(* Disclosure: TheCUBE is a paid media partner for IBM's “Future-Ready Storage Redefining Data Center Boundaries” event. IBM Corp., the sponsor of theCUBE's event coverage, and other sponsors are We do not have editorial control over the content.
Photo: SiliconANGLE
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