Databricks, which continues to increase its competencies in the field of artificial intelligence, announced that it has purchased Fennel, which facilitates the process of preparing data for machine learning models. Although the financial details of the purchase are not shared, this move stands out as one of the strategic growth steps planned after the company’s $ 15 billion investment in January.
Founded in 2022 by former commodity and google Brain engineers, especially the Fennel, especially “feature engineering“The company draws attention with its solution to the difficulties in the field. The company develops a modern processing motor that can work with BATCH, Streaming and real -time data, providing only changing data by re -processing time and cost advantage. Thanks to the Python -based user interface, data scientists can create a feature without learning a new language or the need for complex data pipeline.
Feature Engineering stands out as a critical process that directly affects the success of artificial intelligence models. In this process, the most meaningful aspects of the data are selected, transformed and made to models. However, the difficulties such as providing consistency between training and service environments, both BATCH and processing real -time data make this field quite complex. Fennel manages all these processes on a single platform and reduces complexity and improves data quality.
Databricks, Fennel’s abilities Data Intelligence PlatformIt aims to integrate into ‘flour and to develop more personalized, binding sensitive outputs in artificial intelligence models, improve performance with reliable signals, improve performance with reliable signals.
Fennel, among them Upwork, Cricut ve Rippling It is actively used in many usage scenarios such as fraud detection, credit risk assessment, suggestion systems and personalized sorting with its customers such as companies such as companies such as. The Fennel team will participate in the engineering organization of Databricks after the purchase.
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