AI & Machine Learning

Learn how to align AI agents with enterprise data and objectives to drive measurable performance and ROI. Enterprise AI agents are no longer experimental. They’re being deployed to automate workflows, support decision-making, and improve customer and employee experiences. But most agents fail to deliver consistent value because they’re built generically—trained on public data, loosely aligned … 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

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