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Key features of cloud analytics solutions include: Datamodels , Processing applications, and Analytics models. Datamodels help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence.
Recent recognition for the Alation Data Catalog includes: Dresner Advisory Services 2018 Technology Innovation Awards for Data Catalogs. IDC Innovators: Data Intelligence Software Platforms, 2019 Report. Ventana Research: 2018 Digital Innovation Awards for Big Data.
As much as data quality is critical for AI, AI is critical for ensuring data quality, and for reducing the time to prepare data with automation. Data quality also works hand in hand with datagovernance. How does this all tie into AI/ML? Tendü received her Ph.D.
That is a staggering statistic—50 to 80 percent of the end-to-end time is in data prep. The reason is that most teams do not have access to a robust data ecosystem for ML development. Recent research published in the Harvard Business Review in 2018 suggests that nearly $31.5 Our data teams focus on three important processes.
That is a staggering statistic—50 to 80 percent of the end-to-end time is in data prep. The reason is that most teams do not have access to a robust data ecosystem for ML development. Recent research published in the Harvard Business Review in 2018 suggests that nearly $31.5 Our data teams focus on three important processes.
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