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Accelerating your ETL and scaling data volume Building models and finding patterns in data without waiting on the infrastructure team to provision and configure hardware Simplifying end-to-end data workflows for increased efficiency across your company
Data engineering has changed. Every industry is undergoing disruption, driven by the integration of more data sources, higher volumes, and new business scenarios like personalization and predictive maintenance enabled by big data.
Managing the Complete Machine Learning Lifecycle ML development brings many new complexities beyond the traditional software development lifecycle. Unlike in traditional software development, ML developers want to try multiple algorithms, tools and parameters to get the best results, and they need to track this information to reproduce work.
Predictive intelligence from machine learning (ML) has the potential to change everything in our day to day experiences, from education to entertainment, from travel to healthcare, from business to leisure and everything in between.