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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.
These are critical steps in ensuring businesses can access the data they need for fast and confident decision-making. As much as dataquality is critical for AI, AI is critical for ensuring dataquality, and for reducing the time to prepare data with automation. How does this all tie into AI/ML?
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.
In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new datamodeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.
In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new datamodeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.
Kishore will then double click into some of the opportunities we find here at Capital One, and Bayan will finish us off with a lean into one of our open-source solutions that really is an important contribution to our data-centric AI community. That is a staggering statistic—50 to 80 percent of the end-to-end time is in data prep.
Kishore will then double click into some of the opportunities we find here at Capital One, and Bayan will finish us off with a lean into one of our open-source solutions that really is an important contribution to our data-centric AI community. That is a staggering statistic—50 to 80 percent of the end-to-end time is in data prep.
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