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We are happy to announce that Findify has deployed Databricks as its machine learning and analytics platform, achieving faster time to complete projects, more efficient operations, and improved collaboration.
You can read the press release here.
Findify’s mission is to create frictionless online shopping experiences which lead to satisfied, loyal customers and an increase in revenue. By utilizing advanced machine learning techniques, Findify’s Smart Search continuously improves its accuracy as users use the service.
Findify needed a data platform to run the machine learning algorithms central to their Smart Search capabilities. Their development process was hampered by difficult-to-maintain custom code and complicated workflows to ensure that their data infrastructure remained operational, such as:
Databricks enabled Findify to effortlessly manage Apache Spark clusters, access their data, collaboratively develop machine learning algorithms, and present their findings in a single platform. With the Databricks integrated workspace, the Findify team was able to:
As a result of deploying Databricks, Findify is able to focus less on DevOps and more on employing machine learning to improve their innovative Smart Search engine.
“Databricks reduced our DevOps time on the Spark platform to almost zero. We don’t worry about failures, restarts, capacity, etc. It just works.” – Meni Morim, Co-founder and CEO at Findify
Download this case study to learn more about how Findify is using Databricks.
To try out Databricks for yourself, sign-up for a 14-day free trial today!