Create forecasts with SQL and AI functions on Databricks

lara_rachidi — Tue, 20 Aug 2024 10:44:24 GMT

New Feature Alert: AI Forecast Now Available in DB SQL! 🚀 We’re excited to announce that AI Functions now includes AI Forecast, a powerful new SQL function designed for analysts and data scientists to project time series data into the future with ease. 🔍 What is AI Forecast? - Functionality: AI Forecast is a DB SQL function that allows you to generate future forecasts from your time series data. - Use Case: Perfect for predicting future trends based on historical data, like sales revenue or user activity. 📊 How It Works: - Simple Integration: Easily use AI Forecast within your SQL editor. - Query Example: Simply input your time series data table, specify the time and value columns, and set your forecast horizon. - Abstracted Model: The function abstracts the model details, providing a straightforward way to get forecasts without the need for complex ML model setup. ⚙️ How to Use: 1. Prepare Your Data: Ensure you have a table with time and value columns. 2. Run the Query: Input your data table, specify the forecast horizon, and retrieve your predictions. 3. Simple and Efficient: Ideal for quick forecasts without diving into detailed model parameters or using MLflow. 📈 Notes: - Data Scope: For more accurate forecasts, using a larger dataset than just two months is recommended. - Ease of Use: Great for fast, straightforward forecasting tasks directly within SQL. Watch this video for a step-by-step guide on using AI Forecast in DB SQL and see how it can streamline your forecasting processes! 📌 Like, comment, and subscribe for more updates and tutorials on the latest data science features! #dbsql #aiforecast #dataanalysis #sqlfunctions #machinelearning #forecasting #datascience #technews #aiupdate #sqltutorial #predictiveanalytics #mltools

article Create forecasts with SQL and AI functions on Databricks in Databricks TV

Create forecasts with SQL and AI functions on Databricks