Even companies eager to jump on the GenAI bandwagon have struggled to organize their data and get past deployment hurdles, and nobody likes to spend all that time, effort, and money to build technology that can't be shipped because it can't be trusted.
Happy New Year! Today: after years of hype and investment, enterprise generative AI applications are still awaiting their breakout moment, the data-center investment boom continues, and the latest funding rounds in enterprise tech.
This year marked a turning point for enterprise tech as spending recovered and the economy stabilized following years of rising interest rates and supply-chain disruption. While no one knows what lies ahead, here are five things we thought summed up a pivotal year.
Today: another dust-up on the Rust Project, CIOs are worried about a downside to AI-powered coding machines, and the quote of the week.
Today: how a emerging group of data companies are unlocking new ways to work with data but running into economic roadblocks, CoreWeave signs two big deals, and this week in enterprise moves.
The speed, flexibility, and efficiency provided by newer data tools have become much more important than simply dumping "Big Data" into a storage facility and running relatively simple analytical queries.
