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…
MariaDB is set to acquire GridGain Systems with the aim to deliver sub-millisecond data performance for agentic AI workloads. GridGain is the company behind the in-memory computing platform and developer of the open source project Apache Ignite. The deal comes at a time when technology vendors are rethinking the foundations of the modern data stack…
Pure Storage made a two-part announcement this week: it is rebranding as Everpure and acquiring data management startup 1touch. This is a signal that storage vendors are racing into data management. One reason for this is that AI has shifted value from raw capacity to control over how data is activated. Owning the data layers…
wuiAI companies want licensed video training data because their models are evolving beyond text and images. Media companies have millions of hours of video data. However, what has been missing is the infrastructure to turn raw footage into datasets that can be used at scale. Versos AI says it has built that missing layer. The…
When you think of the global AI race, what comes to mind? Models, benchmarks, and faster training? Well, those still matter, but the race depends more on infrastructure – think data centers and power grids. While many countries are investing heavily in this space and are slowly catching up in the AI race, the U.S….
Data gravity never actually disappeared, so it may not be fully accurate to say it’s back. However, it definitely stayed quiet. Traditional data analytics workloads were forgiving enough that this problem was not catastrophic. Dashboards loading slightly slower, or reports running overnight were not a disaster. The system continued to work, even if it was…
