Amazon Forecast vs. Cortana (discontinued)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Forecast
Score 8.6 out of 10
N/A
Amazon Forecast is a fully managed service that uses machine learning to deliver accurate forecasts. Amazon Forecast can use historical time series data (e.g., price, promotions, economic performance metrics) to create accurate forecasts for businesses.N/A
Cortana (discontinued)
Score 8.0 out of 10
N/A
Microsoft's Cortana was a general purpose productivity assistant, that has been deprecated as a standalone product.N/A
Pricing
Amazon ForecastCortana (discontinued)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon ForecastCortana (discontinued)
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
Amazon ForecastCortana (discontinued)
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Intercom
Intercom
Score 8.7 out of 10
Medium-sized Companies
Posit
Posit
Score 9.1 out of 10
Genesys DX (discontinued)
Genesys DX (discontinued)
Score 10.0 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Genesys DX (discontinued)
Genesys DX (discontinued)
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon ForecastCortana (discontinued)
Likelihood to Recommend
8.6
(5 ratings)
7.1
(3 ratings)
User Testimonials
Amazon ForecastCortana (discontinued)
Likelihood to Recommend
Amazon AWS
Amazon Forecast is well suited when you are a company that's looking for a simple and effective solution in terms of understanding and predicting your resources planning in the AWS. However, it's also good to know that the cost that is incurred is higher and not suited for anything other than the AWS solutions integrations.
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Microsoft
It's easy for anyone who is expecting some simple AI problems like fetching the keywords, understanding the intent, language translation, etc. to be solved from an existing database and all they need is to connect to their APIs via a subscription model. But for complex use cases, there is still room for improvement like customization of underlying AI models for a specific use case like identifying some unique identifiers with respect to industry.
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Pros
Amazon AWS
  • Built-in datasets
  • Accuracy
  • Machine learning
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Microsoft
  • Being hosted in Azure solves a massive hosting problem
  • The language understanding system has the ability to revolutionize many vertical markets
  • Integrating with Cortana Analytics was really simple due to easy to understand documentation
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Cons
Amazon AWS
  • Not easy for beginners as it requires insights to set the forecast
  • Much more expensive if considered for small businesses
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Microsoft
  • More partnerships with colleges and schools to increase the workforce with technical knowledge (increase local workforce)
  • Have more online training and documentation in other languages
  • Have affordable prices for students
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Alternatives Considered
Amazon AWS
Cost-effective and user-friendly.
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Microsoft
IBM Watson Assistant has been early into this market and has improved a lot over time compared to Azure AI Cortana. More documentation related to the services. But Ease of integration Azure AI ranks over IBM Watson Assistant. And again in terms of services offered under the ecosystem, Azure AI precedes IBM Watson Assitant.
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Return on Investment
Amazon AWS
  • Helped in planning the resources required.
  • ML and AI delivered near perfect forecasts.
  • Features and the details available for the cost is not enough.
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Microsoft
  • Difficult to ascertain the ROI as we are a software house who have developed a module in our application using Cortana. However for companies that use our software I would say the use of sentiment analysis in our application could free up at least 1 full time resource to be used elsewhere in their organisation.
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ScreenShots