The on-demand tech paradox: Balancing speed and spend
This Capgemini article examines the paradox of cloud consumption models: while pay-as-you-go delivers speed and flexibility, it also brings new challenges for cost control and governance. It highlights how leaders can balance innovation with discipline as cloud spending accelerates. Connect with Precoh to learn strategies for managing speed and spend in your cloud journey.
What is the on-demand tech paradox?
The on-demand tech paradox refers to the struggle organizations face in leveraging on-demand technologies for agility and innovation while managing rising costs and governance challenges. A significant 82% of executives report escalating expenses in these areas, with many indicating that decentralized tech purchases create inefficiencies and risks.
How can organizations optimize their on-demand tech investments?
Organizations can optimize their on-demand tech investments by adopting a cloud-smart strategy aligned with business outcomes, engineering cost-aware architectures, expanding FinOps to cover all relevant technologies, and automating cost optimization through AI-driven tools. This holistic approach can help improve ROI while maintaining innovation.
What role does FinOps play in managing on-demand technology costs?
FinOps is crucial for managing costs related to on-demand technologies. While 76% of organizations are building FinOps teams, only 2% currently cover cloud, SaaS, and Gen AI comprehensively. Expanding the scope of FinOps to include these technologies can enhance strategic capabilities and promote better governance across functions.
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The on-demand tech paradox: Balancing speed and spend
published by Precoh
Precoh delivers technical management consulting services focused on transforming healthcare and life sciences through AI-driven solutions. By evaluating technical readiness for AI adoption, we develop secure, scalable data infrastructures aligned with industry standards.
Our expertise assists in making smarter decisions, fostering industry collaboration and enhancing health outcomes. Our approach transcends from data complexity to clarity, turning innovation into measurable outcomes.
We shape compelling AI and machine learning solutions across healthcare, working seamlessly from strategy to deployment.
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