Code generation got faster while delivery got harder. AI coding tools solved one problem for engineering teams. They made it dramatically easier to generate code. They also put tremendous stress on everything that comes after. Many teams now live in a strange reality where pull requests move faster and code volume keeps climbing, however delivery…
Cloud data giant Snowflake has committed $6B to AWS through 2032, reflecting growing confidence in future demand for its platform. The deal is the latest example of how the biggest winners in the AI era may not be the companies building models, but the companies that enable enterprise data. The agreement extends the two companies’…
“Almost right” is not good enough once AI starts making decisions inside a business. That warning came from SAP CEO Christian Klein at the Sapphire 2026 event in Orlando, FL. This is an interesting development because SAP has traditionally focused on enterprise resource planning and back office business systems. The company spent years helping companies…
The rise of enterprise AI has exposed a glaring weakness in traditional data governance strategies: how to measure the success of data governance. Most organizations struggle in this space. But wait, haven’t enterprises already spent years building governance dashboards and compliance frameworks to measure success? Yes, and that can help. However, such tools often emphasize…
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…
At BigDATAwire we have covered how the race to deploy agentic AI is already heavily contested. However, the real question is whether enterprise data infrastructure is ready for it. It appears it is struggling to keep pace. Fivetran’s 2026 Agentic AI Readiness Index found that while 41% of organizations are already using agentic AI in…
SAP is moving to fix a problem that has quietly held back enterprise AI. The company is acquiring, targeting two weak points that most organizations still struggle with: fragmented data and poor AI performance on structured datasets. At its core, the problem is simple. Enterprise AI struggles because data is often not accessible in real…
The recent move by Anaconda to acquire Outerbounds is aimed directly at a gap between experimentation and production, where workflows often fail to run consistently across environments. Instead of replacing existing tools, it introduces a layer that coordinates how workflows are defined, executed, and tracked. The goal is not just governance, but consistency. A way…
Have you ever wondered why the most critical step in AI, retrieving the right data, is still tied to centralized cloud systems? Even as models move closer to users, the systems that supply them with context remain largely cloud dependent. Data management and analytics software provider Actian is challenging that assumption with VectorAI DB. It…
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…
