Forecasting Workshop

4-Hour Overview, Demo, and Hands-On Lab with ELE.ai
Register

Time Series Forecasting Made Easy in Four Hours or Less!

Have complete access to all the forecasting power of AI in the cloud. Build custom forecast models, choose from a selection of pre-configured solutions, or run an automated algorithm on your dataset to determine the best model for your application. Visualize your forecasts in the Forecast console or incorporate them into your current analytical dashboard. Design, deploy, automate, and monitor the performance of your forecasting routines easily and efficiently with ELE.ai Sandbox.

Workshop Objectives

Learn how you can incorporate time series machine learning forecasting into your business activities

  • Explore the capabilities of the Amazon Forecast Service
  • See how Amazon Forecast  fits into the existing Data Platform
  • Get hands-on experience with Amazon Forecast with your data

Part 1: Forecasting Overview

Gain an understanding of Amazon Forecast and where it fits with the Data Platform Strategy. Decide where and how it will have the most impact for your team.

Part 2: Demonstration

See how easy it is to set up and Amazon Forecasting. Look at how it can ingest and transform data to create compelling Forecasting models. Review some of the security, admin, and data ingestion functions.

Part 3: Hands-On Lab

Work with our data scientists to create a forecasting model that is relevant to your business from one of our predefined use cases. Work with different data sources, transforming and visualizing data.

WANT TO LEARN MORE ABOUT AI FORECASTING? CONTACT US!

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WORKSHOP SUMMARY

  • Fixed cost for the 4-hour workshop, including all travel, materials, and on-site sessions
  • Funding is available for qualified clients
  • Intended for data engineers, data scientists, business analysts, data analysts, business users, and BI/DW teams.
  • Workshop is limited to 10 attendees per session and will be conducted on-site at the client’s facility

Manufacturing

The amount of raw goods, services, or other inputs needed by a manufacturing process

Retail

Considering the impact of price discounts, marketing promotions, and other campaigns

Business Metrics

Forecasting metrics such as revenue, sales and cash flow

IT Metrics

Operational metrics for IT infrastructure usage to plan for spikes in demand
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