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…
At its recent Cloud Next event, Google unveiled advanced geospatial AI capabilities that extend how imagery is analyzed and integrated into enterprise workflows. However, that was only a starting point. The tech giant has announced that in the coming weeks it will keep expanding its Imagery Insights portfolio with the launch of new Aerial and…
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…
For years, artificial intelligence has been sold as something close to magic. Feed it enough data, train a sufficiently complex model, and intelligence will emerge. Predictions improve. Decisions accelerate. The system “learns.” That story is convenient. It’s also increasingly misleading. The dominant architecture of AI today assumes a clean separation: data is raw material, models…
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…
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. …
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…
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…
Progress in artificial intelligence continues to accelerate across a range of expert disciplines, according to the latest AI Index report published today by Stanford University’s Human-Centered Artificial Intelligence (HAI) center. When it comes to science, math, and reasoning, several frontier AI models now meet or exceed human baselines on PhD-level questions. However, there are gaps…
If you’ve been following BigDATAwire coverage, you would have noticed the data and AI industry leaning toward real-time systems. Aligned with that trend, the enterprise intelligence platform Starburst has launched a new AI data assistant called AIDA that connects AI to governed enterprise data across distributed systems. The aim is to replace delayed reporting with…
