decor image

By SQream,

Faster and better ML data preparation with SQream

With the ever-growing complexity of Machine Learning (ML) models, the need for ML Operations (MLOps) has become essential in deploying successful models into production and continuously improving them with new data.

On average, data scientists spend 80% of their time preparing data. Attempts to deal with this challenge, such as training smaller datasets or conducting fewer cycles of experimentation after deployment, only reduced ML models’ accuracy and forced companies to compromise.

author photo

Shahar Faians

Linkedin linkedin icon
twitter linkedin facebook

SQreamDB

A SQL database that empowers organizations to perform complex analytics on petabyte-scale of data and gain time-sensitive business insights, faster and at one tenth of the cost.

Submit and keep reading!

To Ask Bigger you've got to start reading

Submit your email to see this content

gated-content