Keebo AI optimizes data warehouses with automated ‘learning’ platform, raises $10.5M
Summary
Head over to the on-demand library for all of our featured sessions here.With the rise of Snowflake and other cloud data warehouses, enterprises finally have a simple way to mobilize their data assets at scale. They can easily connect data from different sources and start driving efficiencies while keeping upfront investments (or CapEx) on the lower side.The benefits of the solutions are unparalleled, but cloud data services also come with the challenge of high operating expenses. Essentially, due to constantly growing datasets, companies have to deal with high compute costs and query performance latencies. Without a solution, their teams have to give about 30-40% of their time to manually develop features that could optimize the warehouse for the required performance and budget constraints.The time invested in manual processes is engineering resources that could otherwise have been used in other critical areas with clear business value, such as DataOps and cloud infrastructure.To address the challenge, Michigan-based Keebo AI offers a data learning platform that makes the entire process of optimizing the cost and performance of data warehouses intelligent and automated. Register for your free pass today.Keebobuilds a set of smart models by learning how users and applications interact with data over time and uses those smart models to automate and accelerate the tedious aspects of those interactions, said Barzan Mozafari, CEO and cofounder of Keebo.