Strategy World 2026: Three Customers, Three Industries, One Honest Gap Between AI Vision and Enterprise Reality
Three enterprise customers at Strategy World 2026 described what Mosaic adoption actually looks like. The gap between keynote vision and production reality is the story. Hours before this customer panel began, Strategy CEO Phong Le told a room full of industry analysts that traditional BI is dead, data warehouses are unnecessary costs, and 90% of software companies won’t exist in the near future. CPO Saurabh Abhyankar demonstrated AI coding tools building complete analytics a
41 minutes ago8 min read
What Eight Infrastructure Companies Revealed About Enterprise IT in 2026
Eight infrastructure vendors at IT Press Tour #66 reveal how VMware exodus, AI workloads, and flash economics are reshaping enterprise IT strategy. The 66th IT Press Tour brought together eight companies with a common thread: they're all responding to the same infrastructure pressure points. After three and a half days of presentations in Palo Alto, a clear picture emerged of where enterprise technology is headed and why traditional approaches are breaking down. Three Market
Feb 135 min read
The Lustre Collective Brings Independent Expertise to High-Performance Storage Market
The Lustre Collective launches independent support for parallel filesystem serving exascale HPC and AI infrastructure across clouds and data centers. Presented at the 66th IT Press Tour, January 2026 Three veteran filesystem developers have launched The Lustre Collective, creating an independent support and development company for organizations running large-scale AI and high-performance computing workloads. The company addresses a specific market need. Lustre powers critical
Feb 104 min read
The Storage Problem Quietly Slowing AI Infrastructure: How Novodisq Is Rethinking the Economics
Novodisq is targeting the power and space constraints quietly slowing AI infrastructure. Here's how their storage economics could reshape spending. Covered at the 66th IT Press Tour—January 2026 Most of the AI infrastructure conversation focuses on GPUs. And for good reason—training large models is GPU-intensive and expensive. But there's a second constraint that doesn't get nearly enough attention: the storage and power underneath. Data center rack space in key regions is bo
Feb 104 min read
