AI for science is changing what storage infrastructure needs to do. Most of this infrastructure was originally built around simulations and long term storage. Now AI systems need constant and real time access to massive amounts of scientific data. As a result, the role of storage inside scientific computing environments is starting to change. Many…
The GenAI boom has made hardware hot, both literally and figuratively. Unfortunately, the huge demand for infrastructure has completely disrupted the supply chain for chips, memory, and disk, making it nearly impossible to get the sort of hardware you need to run enterprise IT workloads–let alone HPC or AI jobs–without breaking the bank. So how…
For years, hyperscalers built infrastructure largely for their own cloud ecosystems. However, AI is starting to break that model. The sheer cost of accelerators, data center expansion, and power requirements is pushing AI infrastructure toward a more distributed financing approach, where outside capital plays a much larger role. Google’s reported TPU partnership with Blackstone is…
The reported $66.8B bid by NextEra Energy for Dominion Energy is one of the largest utility mergers in U.S. history. At BigDATAwire we have covered how electricity has emerged as a major bottleneck for AI. Yes, the hardware matters, but those aren’t any good if they don’t get the power they need. Training clusters and…
“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…
AI infrastructure and software company Scale AI has signed an MOU with the Department of Energy to support the Genesis Mission – the collaborative AI for science initiative bringing together leading national labs and advanced computing environments. The move adds another commercial AI infrastructure player to an ecosystem that is increasingly centered around integrating AI…
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…
Is life sciences research still a biology challenge? With the recent advancements in AI, the real bottleneck is data. Vast amounts of biological data exist across literature, experiments, and proprietary datasets, but turning that into actionable hypotheses remains slow, manual, and error-prone. What’s missing is not more data – we know there is no shortage…
