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…
Snowflake is pushing further into the agentic AI trend with the launch of Project SnowWork, a new platform meant to help enterprises move beyond data analysis and into execution, with much of the work handled autonomously. With SnowWork, the aim is to go beyond dashboards and generated answers to automate the next steps, allowing business…
Artificial intelligence has dazzled us with conversation. The real revolution is underway, one where AI doesn’t just talk, but acts. Across large organizations, a new class of AI-native assistants is quietly reshaping workflows. These systems go beyond chat; they take action. They process claims, open support tickets, reroute supply chains, and even draft contracts, all…
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…
