infrastructure Platforms are critical to an infrastructure and operations (I&O) organization’s ability to support the growing demands of digital business. Traditionally, I&O leaders have operated infrastructure in silos, but today I&O is moving from siled infrastructure to broader infrastructure to drive scale, agility, and better business outcomes. We are evolving to a platform-based approach.
A Platform is a product that provides or enables other products and services. The scope of a platform should reflect user needs, and the ultimate test of a platform is how it contributes to what is important to the end user and the enterprise as a whole. This is true for all platforms, including infrastructure platforms. The platform provides the underlying infrastructure needed for sustainable modernization, including energy-efficient virtualization and containerization, with a focus on integrating services to improve resource utilization.
Enterprises are in the early stages of a platform shift, with the introduction of advanced artificial intelligence transforming every layer (infrastructure, middleware, applications, etc.). Although this transition can be risky, it offers potential transformational benefits for your organization.
1. I&O staff will move from working in siled infrastructure groups to infrastructure platform groups.
Gartner predicts that by 2028, more than 50% of I&O staff currently working in siled infrastructure groups will report to infrastructure platform groups.
Most I&O organizations remain focused and organized into siled infrastructure groups measured by tactical metrics to achieve operationally specific goals that limit value creation to the business. Masu. I&O organizations are increasingly focused on corporate/business outcomes rather than strategic outcomes, increasing the need for I&O to operate more holistically. Ultimately, many I&O organizations will reorganize from having employees reporting to siled infrastructure teams to reporting to infrastructure platform groups, leading to more holistic outcomes.
I&O leaders need to leverage infrastructure platform groups to align enterprise-relevant metrics to improve performance and business outcomes.
2. Most companies will change their data center strategies due to limited energy supplies.
Gartner predicts that more than 70% of businesses will change their systems by 2028. data center This is a significant increase from less than 5% in 2023 due to limited energy supplies.
Enterprise digital technologies are consuming energy faster than the overall increase in energy supply. This means data centers will experience widespread power shortages in the coming years due to lack of resources.
Platforms play a key role in increasing energy efficiency by incorporating full-stack functionality (compute, storage, networking, etc.) that uses less hardware. Additionally, infrastructure platform solutions such as distributed hybrid infrastructure (DHI) enable application deployment in a centralized and distributed manner. infrastructure. This enables agility and flexibility for energy-efficient workload placements (data center, colocation, edge, cloud, etc.) deployed by enterprises.
I&O leaders can improve data center sustainability performance by leveraging an infrastructure platform that balances energy-intensive workloads across the infrastructure environment and highlights recommended areas for energy optimization. , must comply with new requirements.
3. Enterprise platforms use specialized infrastructure to support AI fusion.
Gartner predicts that by 2028, 50% of enterprise platforms will leverage specialized infrastructure to support AI adoption. This is a significant increase from his less than 10% in 2023.
Enterprise adoption of AI continues to accelerate, with emerging generative AI (GenAI) innovations poised to transform every aspect of enterprise platforms over the next five years. As companies enter the early stages of platform migration, their infrastructure strategies are designed to support advanced business applications that incorporate AI. Whether an enterprise explicitly or implicitly uses advanced AI technologies such as GenAI, I&O leaders rely on graphics processing units (GPUs), AI application-specific integrated circuits (ASICs), and data management It requires a foundational AI infrastructure layer consisting of hardened storage, specialized networking stacks, and more. .
Infrastructure base as the basis of the whole cloud In some cases, providers consist of specialized infrastructure designed to accelerate GenAI workloads. Enterprise software companies that partner with cloud service providers and hyperscalers to add GenAI-enabled features to their software products are also implicitly or explicitly leveraging these specialized infrastructures.
I&O leaders can upskill their teams to deliver embedded AI platforms, manage advanced infrastructure platforms for AI including GPUs, AI-ASICS, and enable specialized infrastructure stacks across on-premises. , we need to accelerate value creation from GenAI. cloud, and edge. Transform platform productivity and efficiency by accelerating the evaluation and deployment of automation powered by GenAI.