Enterprise Technology Challenges

74% of enterprises run AI in production, but half can't prove it pays off

AI is live across enterprise operations, yet ROI blindness, vendor dependency, and a data-center land rush signal a market at a critical inflection point.

Employee distrust and skills gaps are the real barriers slowing enterprise AI scale in 2026

Platforms from Microsoft, Salesforce, and Google are ready. The blockers now are workforce trust and a widening AI skills gap, not the technology itself.

AI governance gaps are blocking enterprise scale-up across the Middle East

Many enterprises stall AI adoption not because of technology limits, but because internal governance frameworks haven't kept pace with deployment speed.

Enterprise AI adoption is surging, but workforce readiness is sliding backward

AI is embedded across 57% of enterprises, yet workforce confidence and goal attainment are both declining. Here's what the data says operators must fix.

Only 26% of enterprises have operationalized AI at scale, FPT-Forrester study finds

A Forrester Consulting study commissioned by FPT surveyed 397 global decision-makers and found a wide gap between AI investment and real enterprise-wide deploym

Southeast Asia's enterprise AI push hits a familiar wall: data, talent, and integration debt

SEA enterprises are accelerating AI investment, but legacy infrastructure, talent gaps, and ERP friction continue to stall real deployment.

AI cost reality bites: Uber, Starbucks, and the enterprise ROI reckoning

Uber burned its entire 2026 AI budget in four months. Starbucks scrapped its AI inventory system after nine months. Enterprise operators are now demanding proof

Enterprise AI moves from pilot to production in 2026, but gaps in governance and talent persist

Two major 2026 AI surveys show enterprise adoption accelerating fast, while governance, talent, and operational readiness struggle to keep pace.

Enterprise AI adoption shifts from pilot projects to core business strategy

Most enterprise AI pilots never scale. Here's what separates organizations that reach production from those stuck in perpetual experimentation.

A Practical Guide to Modern AI Architecture, Workflow-First Thinking, and Scalable Business Value

Artificial intelligence has already moved beyond the hype cycle and into the day-to-day reality of business operations. Companies across industries are rushing to integrate AI into their workflows, but many are running into the same challenge: it’s relatively easy to build something that works in a demo, and much harder to make it reliable…