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Webinar: Visualizing Time-Series Forecasting with Snowflake, Preset and MindsDB

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October 12, 2021

MindsDB, Snowflake and Preset hosted a live webinar on October 12th, 2021 on how to quickly and easily build and visualize forecasts from your complex data using an automated machine learning built in SQL.

The success of your predictions depends both on the data you have available and the models you train this data on. Data Scientists and Data engineers need best in class tools to prepare the data for feature engineering, the best training models, and the best way of deploying, monitoring, and managing these implementations for optimal prediction confidence.

Watch this webinar with MindsDB, Snowflake and Preset to learn more about:

  • The benefits of running automated Machine Learning inside databases
  • How Snowflake is positioned to streamline the data preparation part of the ML workflow
  • How you can quickly build real-time ML models over multivariate time-series data using just a single SQL command
  • Follow the demo of predicting bus rides in Chicago and visualizing them in the Preset business intelligence tool

Running MindsDB with Snowflake can significantly increase the performance and reduce the computational requirements of training your machine learning models.

If you are already a Snowflake user, you can take advantage of key features quickly to enable fast, efficient machine learning capabilities directly in your database by simply connecting Snowflake to the MindsDB service.

And finally, you can visualize forecasts, predict trends and detect anomalies straight in the Preset, a powerful, easy to use data exploration and visualization platform, powered by open source Apache Superset™

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<- Back to Events
October 12, 2021

ON-DEMAND WEBINAR​

‍

Visualizing Time-Series Forecastingwith Snowflake, Preset and MindsDB


SPEAKERS

Jorge Torres, CEO of MindsDB

Miles Adkins, Sales Engineer, Snowflake

Srini Kadamati, Senior Data Scientist & Developer Advocate, Preset

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20

MindsDB, Snowflake and Preset hosted a live webinar on October 12th, 2021 on how to quickly and easily build and visualize forecasts from your complex data using an automated machine learning built in SQL.

The success of your predictions depends both on the data you have available and the models you train this data on. Data Scientists and Data engineers need best in class tools to prepare the data for feature engineering, the best training models, and the best way of deploying, monitoring, and managing these implementations for optimal prediction confidence.

Watch this webinar with MindsDB, Snowflake and Preset to learn more about:

  • The benefits of running automated Machine Learning inside databases
  • How Snowflake is positioned to streamline the data preparation part of the ML workflow
  • How you can quickly build real-time ML models over multivariate time-series data using just a single SQL command
  • Follow the demo of predicting bus rides in Chicago and visualizing them in the Preset business intelligence tool

Running MindsDB with Snowflake can significantly increase the performance and reduce the computational requirements of training your machine learning models.

If you are already a Snowflake user, you can take advantage of key features quickly to enable fast, efficient machine learning capabilities directly in your database by simply connecting Snowflake to the MindsDB service.

And finally, you can visualize forecasts, predict trends and detect anomalies straight in the Preset, a powerful, easy to use data exploration and visualization platform, powered by open source Apache Superset™

‍

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