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Managing the dilemma of modernizing IT infrastructure: Why fix what is still working well?

By B Swaminathan | IMAWS | Thursday, March 20, 2025, 9:07 AM Asia/Singapore

Managing the dilemma of modernizing IT infrastructure: Why fix what is still working well?

MR: Modernization efforts can be a challenge for IT leaders to articulate to business and executive management. The potential risks of execution complexity and increased investment are rational concerns for the IT leader.

While “leaving well enough alone” is a strategy with low near-term risk, it can leave the enterprise open to larger strategic risks and missed innovation opportunities. The right infrastructure platform can make all the difference for such efforts.

In efforts to engineer the IT platforms of tomorrow, modernization is an opportunity for delivering exponential rewards.

Using open, efficient, and highly performant platforms are key to success. Compute infrastructure that supports a diversity of power, performance, and throughput-optimized applications can help enterprises scale effectively.

As an example of the benefits of technological openness, application software designed for widely adopted architectures is often delivered as a single package distribution across multiple platforms of the same type. This allows businesses to run OS, applications, or in-house software with minimal modifications when transitioning between compatible systems. This means that IT leaders can effectively modernize their data centers with minimal disruption by leveraging an open ecosystem.

DigiconAsia: How can enterprises benefit from modern IT infrastructure, particularly in supporting AI and emerging technologies?

MR: Today, AI holds great promise, but it also comes with a significant demand for computing power. Organizations that ensure they have the right platform in place can build a future-ready IT infrastructure to support AI and other emerging technologies.

Unlike many traditional applications, AI workloads have unique performance, security, data compliance, and cost requirements. These factors can vary widely depending on the complexity of the AI model, the volume and velocity of data being analyzed, and the level of overall computational intensity required.

To maximize the business value of AI, IT leaders need to adopt a fit-for-purpose infrastructure strategy that optimizes computing capabilities for both legacy and modern workloads. Selecting the right combination of hardware and software solutions allows enterprises to enhance data center efficiency, reduce operational costs, and scale AI initiatives effectively.

Modernizing IT infrastructure enables organizations to optimize power, space, and overall costs. The savings from these efforts can be reinvested into expanding capacity or adopting new technologies such as generative AI.

DigiconAsia thanks Madhu Rangarajan for sharing his firm’s strategic insights with readers.

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