Time Series Forecasting Service by AWS
Free trial available
Overview
Pricing
Features
Ratings
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Support
Media
Overview
Pricing
Features
Ratings
Alternatives
Support
Media
Overview
Pricing
Features
Ratings
Alternatives
Support
Media
Introducing Amazon Forecast, the ultimate Time Series Forecasting Service powered by AWS. Our cutting-edge tool uses the latest in machine learning technology to provide highly precise predictions for various business needs. Inspired by Amazon.com's forecasting system, Amazon Forecast is tailored for businesses of any size. From anticipating trends to predicting outcomes, this service enhances decision-making across all industries.
Pricing
Free trial available
High Accuracy, Scalability, Ease of Integration, Cost-Effectiveness
Complexity for Beginners, AWS Ecosystem Dependence, Data Transfer Costs
Retailers
Financial Analysts
Supply Chain Managers
HR Departments
Uncommon Use Cases
Free Trial
Customizable Models
Users can tailor recognition to specific needs with customizable models, enabling prioritization of certain words or phrases, which is particularly useful for domain-specific applications.
Machine Learning Technology
Employs advanced ML algorithms to analyze time-series data and generate forecasts.
Automated Data Processing
Automatically processes and identifies the relevant patterns in historical data to improve forecast accuracy.
Probabilistic Forecasts
Offers quantile forecasts that help users understand the range of possible outcomes and the likelihood of each.
Introducing Amazon Forecast by AWS - a powerful Time Series Forecasting Service that stands out with its cutting-edge technology, previously only available to Amazon.com. With years of refinement and innovation, it offers businesses probabilistic forecasting, providing a comprehensive range of potential outcomes for smarter and more informed decision-making. Take your forecasting to the next level with Amazon Forecast.
Pros
Leverages Amazon's proprietary algorithms to provide precise forecasts.
Capable of handling millions of time series forecasts simultaneously, making it suitable for large-scale operations.
Integrates smoothly with other AWS services and databases for seamless data flow.
Users pay only for what they use, with no upfront costs or minimum fees, which can lead to significant cost savings.
Cons
The ML-based nature of the tool may present a learning curve for users with no prior experience in machine learning.
Primarily designed to work within the AWS ecosystem, which might limit its use for businesses not using AWS services.
While the service itself is cost-effective, transferring large amounts of data into and out of AWS may incur additional costs.
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