Cloud & AI for the Enterprise
ROI Brief AI-generated code and unchecked experimentation are quietly building legacy systems that will cost enterprises dearly. Enterprise IT leaders are under pressure to deliver results fast. AI tools promise speed, automation, and cost savings—but they also introduce new risks that are easy to overlook. One of the most urgent: AI-driven tech debt. While AI is often … Read more
Enterprise leaders must cut through AGI noise and focus on small language models that solve real business pain. The headlines and noise are loud. AGI, superintelligence, sentient machines—every week brings another prediction, another promise. But for enterprise IT leaders tasked with delivering measurable outcomes, the signal is elsewhere. The real value isn’t in chasing theoretical … Read more
Despite the hype, agentic AI won’t deliver enterprise ROI in 2026. Here’s what leaders should prioritize instead. The noise around agentic AI is getting louder. Analysts, vendors, and influencers are calling 2026 the breakout year—just as they did for 2025. But for large enterprises, the reality is more measured. Agentic AI may be promising, but … Read more
Enterprise AI success depends on compute capacity—here’s what IT leaders must address to unlock real returns. AI adoption is no longer a pilot exercise. Enterprises are deploying models across workflows, from customer service to supply chain forecasting. But as ambitions grow, so do infrastructure demands. The limiting factor isn’t just talent or data—it’s compute. Without … Read more
Unlocking AI ROI starts with compute readiness—these solutions help IT leaders scale efficiently and stay in control. AI is no longer a side project. It’s embedded in enterprise workflows, powering everything from financial forecasting and risk scoring to document classification, contract review, and intelligent routing. But as models grow more complex and usage expands, compute … Read more
Agentic AI transforms enterprise ROI by shifting focus from isolated task execution to system-wide coordination and governance. The shift from canals to railroads wasn’t just about speed—it was about structure. Canals moved goods slowly but predictably, with minimal coordination. Railroads introduced velocity, but also complexity. Trains shared tracks, crossed jurisdictions, and required synchronized schedules. Without … Read more
Agentic AI isn’t about automating tasks—it’s about removing the need for workflows altogether. Enterprise workflows were built to manage complexity. When objectives couldn’t be handled by one person or system, organizations broke them down into linear sequences of tasks assigned to different roles. This structure made sense when coordination was manual and context had to … Read more
Most enterprise AI strategies are stuck optimizing tasks—while competitors are eliminating entire workflows. AI investments are accelerating across industries, but the returns are uneven. Many enterprises are still asking: “Which tasks should we automate?” That question made sense five years ago. Today, it’s the wrong starting point. The real payoff from AI isn’t in speeding … Read more
Agentic AI transforms enterprise workflows from task-based efficiency to end-to-end coordination that compounds ROI. Enterprise leaders are under pressure to show real returns from AI investments. But the gap between automation and coordination is widening—and quietly reshaping competitive dynamics. Agentic AI is no longer just about saving time or reducing headcount. It’s about rethinking how … Read more
Enterprises that mastered cloud, ERP, and mobile transformations can apply those lessons to generative AI adoption. Generative AI is not the first wave of technology to challenge enterprise norms. It won’t be the last. But it is different—more fluid, less predictable, and deeply intertwined with how people work, decide, and create. The stakes are high, … Read more