Meta just announced it will spend up to $135 billion on AI this year, nearly double what it spent in 2025. Microsoft, Alphabet, and Amazon are matching that energy. Together, the four hyperscalers are committing up to $725 billion to AI infrastructure in 2026 alone. That is before a single enterprise dollar is counted. Gartner forecasts worldwide AI spending will
The gap between a model that works in a demo and one that performs in production almost always traces back to the training data. Most teams discover this late, after months of pipeline work, when model outputs are inconsistent in ways that improved architecture cannot fix. The annotations were the problem all along. The tool your team uses to label
Cloud transformation used to be about cutting infrastructure costs. In 2026, it is about whether your organization can run AI. A 2026 Cloudera and HBR study found only 7% of enterprises say their data is completely ready for AI. The bottleneck is almost never the model. It is the underlying data infrastructure. A cloud transformation strategy is the plan that
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