Non-Negotiable: Why You Need Infrastructure Portfolio Management Now

Infrastructure leaders, are you feeling the heat? Is the relentless pressure to deliver more, faster, and cheaper getting to you?

If you're at a large, global company, the demands on your storage, compute, and networking resources are likely reaching a fever pitch. And if you haven't already, prepare for the tsunami: artificial intelligence (AI). The exponential growth of AI initiatives is about to fundamentally reshape your infrastructure landscape, and the old ways of managing simply won't cut it anymore.

The AI infrastructure crunch: A looming crisis

AI isn't just another application; it's a transformative force that requires us to completely rethink our approach to infrastructure planning and execution. Consider the sheer volume of data required to train sophisticated models, the compute power needed for inference, and the low-latency networking critical for real-time applications. Your existing infrastructure, likely already stretched thin, is about to face unprecedented demands.

Without a strategic approach, you risk:

• Runaway costs: Reactive upgrades and uncoordinated investments will bleed your budget dry.
• Performance bottlenecks: AI initiatives will be hampered by insufficient resources, leading to delays and lost opportunities.
• Security vulnerabilities: Ad-hoc solutions introduce gaps in your security posture, leaving your organization exposed.
• Lack of visibility: Without a clear view of resource allocation, utilization, and ROI, making informed decisions will be impossible.

IPM: Your lifeline in the AI era

Infrastructure portfolio management (IPM) provides the framework, processes, and tools to proactively manage your infrastructure investments, align them with business priorities, and optimize resource utilization. It's about shifting from reactive firefighting to strategic foresight. By implementing IPM, you gain:

• Prioritized investments: Focus resources on the initiatives that deliver the greatest business value, particularly those supporting critical AI applications.
• Optimized resource allocation: Ensure that AI projects have the resources they need, when they need them, without starving other essential services.
• Improved forecasting: Anticipate future infrastructure needs based on AI growth projections and proactively plan for capacity upgrades.
• Enhanced visibility: Gain a comprehensive view of your entire infrastructure portfolio, including costs, performance, and risks.
• Data-driven decision-making: Make informed decisions based on accurate data and analytics, ensuring that your investments are aligned with business goals.

ValueOps: The IPM powerhouse

Fortunately, you don't have to build an IPM solution from scratch. ValueOps is your central platform for strategic planning, portfolio management, agile work management, financial governance, data integrity, automation, and synchronization. Here are the ValueOps highlights:

• Centralize portfolio data: Gain a single source of truth for all infrastructure projects, resources, and investments.
• Prioritize initiatives: Use scoring models and scenario planning to identify and prioritize AI-related projects that align with business objectives.
• Manage budgets and forecasts: Track expenses, forecast future costs, and ensure that your infrastructure investments stay within budget.
• Break down complex projects: Divide large infrastructure projects into smaller, more manageable tasks.
• Improve collaboration: Facilitate communication and collaboration among siloed teams.
• Automate workflows and integrate disparate systems: Consume data from a range of systems, such as IT service management (ITSM) platforms, enterprise architecture (EA) tools, configuration management databases (CMDB), service desk platforms, and enterprise resource planning (ERP) systems.

The AI revolution is unfolding, presenting both incredible opportunities and unpredictable challenges. Now is the time to proactively guide and shape your infrastructure's evolution, ensuring it's not merely reacting to the demands of AI but strategically enabling success. Embracing IPM means fostering a culture of strategic planning, data-driven decision-making, and continuous improvement.

Start now!

• Assess your current infrastructure management practices and identify the gaps and challenges you face in supporting AI initiatives.
• Start small by testing the value of IPM with one or two questions you struggle to answer now:
  • How can I understand my cost by data center?
  • Is it more efficient to solve a problem with cognitive technology or humans?
  • Will TPUs handle my AI needs more efficiently than GPUs?
  • Should I run my applications on-premises or in the cloud?
• Explore ValueOps: Ask for a demo or a conversation.

The future of infrastructure is proactive, data-driven, and aligned with business priorities. IPM with ValueOps gets you there.