From Pipelines to Platforms: Google’s Data Strategy at Cloud Next 2026

The last decade of data infrastructure was built around pipelines. Move the data, transform it, store it, then do something useful with it. That approach became so normal that most teams stopped questioning it.  At Cloud Next 2026, Google seemed to be leaning toward a different way of working with data, one built more around…

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Forbes AI 50 List Shows Data Emerging as the Core of AI Value

Forbes recently released its 2026 AI 50 list that showcases the most influential and fast-growing AI startups right now. If you look at this year’s list, you would notice that the focus is no longer just on building the most powerful models. Many of the companies making headway are solving for deployment, data access, and…

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The Modern Data Stack Was Never Built to Make Decisions

I was in a meeting recently with a VP of Data at a mid-size enterprise when she said something that stopped me. We were talking about her team’s quarterly roadmap, and she paused and said, almost to herself: “We have faster pipelines than we’ve ever had, and somehow decisions still take a week.” She wasn’t…

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dbt Labs Report: 72% of Data Teams Use AI. 71% Fear Bad Data. Data Systems Can’t Keep Up

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…

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