Helping enterprises get real ROI from their tech investments
How to reduce switching costs, preserve leverage, and maintain control in cloud-dependent environments. Enterprise cloud adoption has accelerated past the point of experimentation. Most large organizations now run critical workloads on hyperscale platforms. But as cloud maturity deepens, so does the risk of vendor lock-in—especially when exit planning is deferred or dismissed. The issue isn’t … Read more
Learn how to reduce fragmentation, improve governance, and drive ROI across hybrid and multi-cloud environments. Enterprise IT is no longer centralized. Workloads span public clouds, private infrastructure, edge locations, and SaaS platforms. This shift has unlocked flexibility—but introduced fragmentation, cost opacity, and governance gaps that most organizations struggle to contain. The issue isn’t cloud adoption. … Read more
Neoclouds (such as CoreWeave, Nebius, Vultr, Lambda, Crusoe, and so on) are reshaping cloud economics and control—here’s what enterprise IT leaders must evaluate now. Enterprise cloud strategy is no longer a binary choice between the big three hyperscalers. A new class of providers—neoclouds—is emerging with differentiated models that challenge long-held assumptions about scale, cost, and … Read more
Enterprise cloud leaders must enable AI quickly without losing cost control or management cohesion. AI enablement is no longer a roadmap item—it’s an active enterprise-wide expectation. Cloud leaders are under pressure to deliver scalable AI capabilities across business units, while keeping infrastructure lean and governance intact. The tension between speed and control is intensifying, especially … Read more
Enterprise AI leaders face rising cloud costs, multicloud complexity, and pressure to deliver agentic automation fast. Enterprise AI is no longer a sandbox for experimentation. It’s a cost center, a performance lever, and a reputational risk—often all at once. As AI workloads scale, so do the financial and architectural consequences of every cloud decision. The … Read more
AI-native cloud platforms are reshaping vendor lock-in dynamics—here’s how to stay agile and protect long-term ROI. AI-native cloud platforms are accelerating enterprise transformation, but they’re also reshaping the boundaries of vendor lock-in. The shift from infrastructure-as-a-service to AI-integrated ecosystems introduces new dependencies that are harder to detect, harder to unwind, and more expensive to ignore. … Read more
AI-native cloud platforms increase lock-in risk—tooling portability and open standards are now critical for long-term flexibility. AI adoption is accelerating across enterprise environments, but the underlying cloud dependencies are evolving faster than most teams realize. The shift from infrastructure-centric cloud strategies to AI-native platforms introduces a new layer of lock-in—one that’s harder to detect and … Read more
AI-native cloud adoption is reshaping infrastructure, cost models, and competitive velocity across enterprise IT. The shift from commodity cloud to AI-native cloud is no longer theoretical. It’s accelerating, and it’s reshaping how infrastructure is designed, how workloads are prioritized, and how value is extracted from data. For enterprise IT leaders, this isn’t just a platform … Read more
Enterprise IT leaders are rethinking cloud ROI as AI-native architectures redefine performance, cost, and competitive value. Cloud infrastructure is no longer just about compute, storage, and elasticity. The rise of AI-native cloud platforms is reshaping how large organizations architect, deploy, and extract value from their digital environments. What began as a cost-efficient utility model is … Read more
Enterprise cloud strategy now determines the speed, scale, and ROI of generative and agentic AI adoption. Cloud computing is no longer just a delivery model—it’s the execution layer for modern AI. As generative and agentic workloads grow in complexity and business relevance, cloud infrastructure is being rearchitected to support GPU-intensive training, real-time inference, and autonomous … Read more