Will Generative AI Revolutionize Cloud Investment?
Discover how generative AI is driving cloud investments, fostering innovation, and reshaping enterprise strategies.
Leverage industry best practices, deep experience and market research to unlock tangible Cloud benefits.
Click on the question below that speaks to where you are in your cloud transformation.
This might look like building a business case for cloud – the “why cloud” for your specific business. Or, you may have that down, but still need to figure out your cloud orchestration - how to integrate your cloud strategy with your operating model, what skillsets you need to accomplish goals, how to choose which model (hybrid, private, public) suits your business goals, and which provider(s) can help you. Click here to learn how ISG can help.
Stop us if this sounds familiar: you’ve migrated some workloads to the cloud, but now you’re facing major silos, budget issues, unmanaged capacity, and a lack of transparency, resiliency and skillsets to take full advantage of your cloud offerings. Are you only using cloud for storage and compute, and want to unlock value with cloud native services? Are you considering if you need a cloud center of excellence? Click here to learn how ISG can help.
You’ve made it – you’ve lifted, shifted, scaled and created a cloud center of excellence. But now there’s demand to provide service-based IT to your enterprise. Plus, you're struggling to stay ahead of managing spend, demand, capacity and consumption. Above and beyond all of that, you must show tangible ROI of your cloud investments – so how can you monetize to innovate new revenue opportunities? Click here to learn how ISG can help.
From Designing a Business Case to Your Cloud Orchestration Strategy
Every enterprise today feels the pressure – the shared infrastructure has been neglected in the rush to satisfy the digital imperatives of individual business areas. What are your options to modernize applications and data centers? What are the right SaaS/ERP systems, cloud/IaaS/PaaS solutions, networks approach? And how should you approach system integration with your legacy systems and digital upgrades?
ISG can help you create a business-value oriented "why cloud" case specific to your needs. We'll work with you to build a digital cloud strategy to determine what can be sourced to get your infrastructure up to expectations faster and more effectively. Along the way, we can help you find opportunities to optimize costs and fund your digital initiatives.
Unlocking Cloud Beyond Storage & Compute Capabilities
How do you achieve a consistent customer experience and highly reliable cloud services to meet your business needs? Our services help you accelerate your overall cloud adoption, modernization or migration. We can help you create a cloud center of excellence to do just that.
Whether you need to build new, cloud-based apps or transform your architecture to transition to a new operating model, ISG has actionable strategies, easy-to-customize, proven migration templates and experience to ensure your success. Plus, we account for cultural change, migration governance, organizational change management as part of our transformations.
Modernize your sourcing strategy for cloud tech, system integrators and managed services providers with our collaborative, joint solutioning throughout the downselect and selection process. ISG helps you achieve cost transparency, govern cloud decision-making, and track reporting, metrics and measurement via Cloud FinOps to optimize your cloud spend and usage.
Achieve Innovation and ROI to Support Your Business Objectives
We incorporate predictive cognitive analytics solutions to understand, monitor and optimize your cloud spending and performance. But beyond that, we're a trusted partner for innovative design, solutioning and sourcing of new market opportunities leveraging your cloud investments.
Independently validate, verify and adjust your cloud scaling strategy and ensure alignment between your investments and value realized by measuring project costs up front and along the way with our Project-Estimation-as-a-Service offering. Our goal is to help you achieve single-pane cloud spend management, service-based IT, and new revenue from cloud innovation.
AI investment is accelerating, but results remain uneven. Only one in four initiatives is meeting revenue impact expectations, at an average spend of $1.3M per use case. Enterprises are no longer asking whether AI works. They are being asked to prove that it pays.
We help you identify where AI agents deliver the most value, restructure workflows around them and build the accountability models that keep autonomous execution auditable. The enterprises that win won't be the ones that reacted. They'll be the ones that designed for it first.
We give enterprises transparent, benchmarkable pricing models that tag each resource unit with the autonomy level used to deliver it. As AI capability advances, your pricing keeps pace. Both buyers and providers can quantify what that progress is worth.
We bring analysis of more than $2.6 billion in tracked AI spend to every sourcing decision. Procurement, technology and finance leaders get the independent intelligence to rationalize vendor portfolios and hold providers accountable to measurable outcomes.
We embed controls at the point of data creation, define accountability for autonomous actions and build adaptive frameworks that keep pace with AI without impeding it. Enterprises that get this right don't just manage risk. They build the trust that lets them scale faster.
We ground strategy in research across 2,400 enterprise use cases, aligning investment to where impact is proven and designing the data, talent and governance foundations that move AI from pilots into the workflows that drive commercial results.
We benchmark your AI readiness against peers across 75 countries, identify the dimensions holding you back and give you a personalized roadmap to close the gap.
AI investment is shifting decisively toward revenue-generating functions. CRM automation, sales enablement and forecasting have replaced chatbots and IT productivity tools as the leading use case priorities, reflecting enterprise recognition that productivity gains alone do not satisfy board-level scrutiny. At the same time, use cases in production have doubled since 2024, and the portfolio is diversifying rapidly, with over 300 distinct function and industry-specific use cases now in active deployment.
ISG research across 2,400 enterprise use cases shows that the strongest AI returns are currently concentrated in compliance, risk management and quality control, not in the growth and cost outcomes most enterprises originally set out to achieve
The gap between where enterprises are investing and where AI is actually delivering is the defining commercial tension of 2025. Organizations that close it by targeting functions with structured, revenue-attributable data and clear ROI measures will establish performance benchmarks that compress the window for competitors still cycling through pilots. The standard is being set now.
ISG is a leader in proprietary research, advisory consulting and executive event services focused on market trends and disruptive technologies.
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Learn MorePublic cloud platforms form the core of enterprise AI ecosystems, offering the scalability, elasticity and specialized infrastructure needed to train and deploy large models efficiently. ISG research shows that combining on-premises control with cloudbased acceleration enables organizations to integrate AI-powered intelligence into existing workflows and streamline their operations. Enterprises have been able to reduce development complexity, accelerate time to value and scale innovations from predictive analytics to autonomous operations by leveraging cloud-native AI services, pretrained models and GPU-optimized instances.
The AWS ecosystem in the U.S. is undergoing a significant transformation, with service providers increasingly focusing on delivering advanced, value-driven cloud capabilities. This evolution is marked by substantial investments in emerging technologies, particularly generative AI (GenAI), agentic AI and data analytics, alongside continued emphasis on large-scale cloud migration, modernization and enterprise application support. Providers are developing highly specialized, often industryspecific solutions, and deepening their strategic alignment with AWS to deliver measurable business outcomes for their clients. The market is characterized by a strong drive towards innovation, operational efficiency and a refined approach to cloud adoption, moving beyond basic infrastructure provision to holistic, AIinfused digital transformations.
In 2025, the Google Cloud partner ecosystem is driving significant enterprise value within the U.S. by leveraging Google Cloud’s strengths in AI, data modernization and analytics, security, and open, scalable infrastructure. Global system integrators (GSIs) with a strong U.S. presence collaborate with Google Cloud to deliver customized solutions and expert services (consulting, implementation, managed services, enterprise data infrastructure, and generative AI [GenAI] and AI services). This collaboration helps enterprises navigate complexity, accelerate cloud adoption and modernization, harness the transformative power of GenAI with platforms such as Gemini and Vertex AI, and achieve tangible business outcomes in an increasingly hybrid cloud and multicloud environment.
Global market dynamics are currently characterized by uncertainty and turbulence, driving organizations to increase their focus on cloud-related investments aimed at improving business visibility, predictability and resilience. Tech spending for 2025, especially related to the Microsoft AI and Cloud ecosystem, is mainly driven by investments in cybersecurity, cloud-enabled (and AI-fueled) innovation, data and analytics, digital transformation and infrastructure modernization, particularly hardware/device refresh initiatives as Windows 10 approaches the end of life.
Embracing a cloud-based ERP application may be the single most important move you can make to springboard your organization into true digital transformation.
Did we miss one of your cloud questions? Contact us.
Our take on being a cloud advisor is to be an independent, unbiased advisor to our clients. Our framework addresses four main areas: creating a future vision for your cloud usage, building actionable operating models for adopting/migrating to cloud, designing how you manage and operate your day-to-day cloud usage, and defining your scaling strategy to achieve value at scale. All of this is supported by a foundation of cloud security and cloud benchmarking to ensure your investments are protected and to measure results and ROI along the way. Learn More
You’ve probably heard of private, public and hybrid clouds – this refers to your deployment model. The deployment model has a significant impact on the degree to which it meets the NIST characteristics. There are several key cloud providers for each. For private cloud, there are offerings from HP, VMWare, Openstack, Citrix, ServiceNow, IBM and others. Some public cloud providers include Microsoft Azure, Google Cloud Platform, Salesforce, Amazon Web Service (AWS) and others. Hybrid cloud deployments leverage both private and public cloud models. Learn More
We see many in the market beginning to look for answers on how to better their cloud security architecture and strategy, how to leverage a modern enterprise network to better enable cloud, how to manage a cloud partner ecosystem, and more. Contact us to speak with an advisor about our insights.