An Intellyx Brain Candy Brief
Espresso AI offers a drop-in machine-learning-driven solution that they claim can reduce data costs by as much as 70 percent by taking thousands of real-time actions in a production Snowflake environment to optimize compute, ingest and storage resource usage.
That’s a pretty tall claim, but when you think about the exponentially increasing consumption of data driven by various flavors of AI, advanced analytics, and fast-scaling distributed services, it stands to reason there could be room for shaving off resources from a multi-million dollar cloud data bill, if only there was a system that could react and make on-the-spot usage decisions rather than nightly adjustments.
In any case, the startup offers a value measurement dashboard and savings-based pricing to address ROI concerns.
The solution includes an autoscaling agent that sits in the data warehouse environment, and a scheduling agent that abstracts the data platform from its underlying hardware to allow the separation of logical and physical compute concerns.
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