Enterprise leaders have spent two years and hundreds of billions of dollars on AI. The results have been uneven. According to McKinsey’s 2024 global survey, fewer than one in three companies report that their AI investments have generated meaningful, sustained business value. The demos tend to impress, and production tends to disappoint. The diagnosis offered…
Datadog’s latest State of AI Engineering report points to a measurable failure problem in enterprise AI systems. Around 1 in 20 requests already fail in production, yet systems continue to run and return outputs that appear correct, making these failures difficult to detect. That 5% failure in production AI is very high by engineering standards. …
According to the State of Analytics Engineering 2026, the modern data stack is scaling fast, but unevenly. It is also growing faster than the trust and governance mechanisms designed to support it. AI is no longer experimental. It is embedded. 72% of teams now prioritize AI-assisted coding, and more than 77% of leaders are already…
The greatest untapped AI isn’t a new model or a faster chip; it’s the executive team already sitting in your boardroom. For the past year, corporate America has been energized by a cycle of feverish investment. Organizations have poured billions of dollars into the promise of artificial intelligence, seeking new ways to create efficiencies, strengthen…
For the past few years, the corporate world has been locked in an AI race. Every company is trying to move faster, invest more and keep up with the pace set by Big Tech. But speed isn’t the only challenge. We’ve reached a point where capital investment is outpacing organizational confidence. A new survey from Collibra,…
The AI fatigue that defined the late 2023 and 2024 business cycles was, in hindsight, a necessary correction. During that period, many organizations found themselves trapped in what industry observers called “pilot purgatory.” Millions were poured into experimental generative AI pilots, comprised mostly of chatbots designed to summarize meetings or draft internal emails. While these…
AI agents have become the primary driver of enterprise productivity. According to a recent report by Salesforce, organizations currently use an average of 12 agents, with that number expected to climb 67% within the next two years. Currently, 83% of organizations report that most or all teams and functions have adopted AI agents. However, business…
A recent report from Precisely highlights an interesting paradox: 87% of organizations believe they are ready for AI, yet at the same time, 40% of the leaders reported that data, skills, and infrastructure remain the biggest obstacles. Precisely’s fourth annual State of Data Integrity and AI Readiness report reveals a growing disconnect in how organizations…
