Amazon SageMaker vs. SAP Conversational AI (discontinued)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon SageMaker
Score 8.8 out of 10
N/A
Amazon SageMaker enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.N/A
SAP Conversational AI (discontinued)
Score 6.8 out of 10
N/A
SAP Conversational AI was a platform used to build chatbots and digital assistants in SAP integration. Starting January 2023, SAP Conversational AI, SAP’s chatbot building platform has been set to maintenance mode. Existing customers can continue to use the enterprise edition of the product until the end of their contract.N/A
Pricing
Amazon SageMakerSAP Conversational AI (discontinued)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon SageMakerSAP Conversational AI (discontinued)
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon SageMakerSAP Conversational AI (discontinued)
Best Alternatives
Amazon SageMakerSAP Conversational AI (discontinued)
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Front
Front
Score 9.1 out of 10
Medium-sized Companies
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Genesys DX (discontinued)
Genesys DX (discontinued)
Score 10.0 out of 10
Enterprises
Dataiku
Dataiku
Score 8.5 out of 10
Genesys DX (discontinued)
Genesys DX (discontinued)
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon SageMakerSAP Conversational AI (discontinued)
Likelihood to Recommend
9.0
(5 ratings)
7.4
(37 ratings)
Usability
-
(0 ratings)
7.7
(2 ratings)
Availability
-
(0 ratings)
8.2
(2 ratings)
Performance
-
(0 ratings)
8.2
(2 ratings)
Support Rating
-
(0 ratings)
6.5
(32 ratings)
User Testimonials
Amazon SageMakerSAP Conversational AI (discontinued)
Likelihood to Recommend
Amazon AWS
It allows for one-click processes and for things to be auto checked before they are moved through the process but through the system. It also makes training easy. I am able to train users on the basic fundamentals of the tool and how it is used very easily as it is fully managed on its own which is incredible.
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SAP
It would be most suitable to help you attain swift conversation flows as you engage with your audiences. The bots are also of indispensable value in handling repetitive tasks around the firm such as automated HR resourcing expeditions or marketing campaigns or any other important but monotonous tasks. I however admit that analyzing the bot's performance is quite complex, have an RPA specialist around.
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Pros
Amazon AWS
  • Machine Learning at scale by deploying huge amount of training data
  • Accelerated data processing for faster outputs and learnings
  • Kubernetes integration for containerized deployments
  • Creating API endpoints for use by technical users
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SAP
  • SAP has helped me manage my teams cost in material management.
  • SAP Conversational AI has provided with the goal of developing bot analytics to respond to common user face issues when reporting troubleshooting issues with software equipment as well as technical equipment.
  • Has helped deploy new bots to increase response time to employees who require assistance with ordering equipment software as well as application development in software ordering.
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Cons
Amazon AWS
  • It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
  • Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.
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SAP
  • SAP can certainly provide better and more clear documentation on how to customize and deploy the chatbot/use SAP Conversational AI.
  • There is lot less developer community around SAP Conversational AI so it is hard to get help from outside developers and experts on best practices, hacks and existing applications/integrations.
  • It is hard to use SAP Conversational AI outside SAP S/4HANA Cloud, for example on AWS or GCP or in a multi cloud environment.
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Usability
Amazon AWS
No answers on this topic
SAP
Chatbots have already acquired most of the market and are still trending with the needs of changing market everyday. It will keep evolving with AI and NLP more to offer for improvements. SAP CAI is a good product to add to an enterprise using SAP ERP Suite
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Reliability and Availability
Amazon AWS
No answers on this topic
SAP
Never had an issue. SAP CAI shares the same platform as any other product hosted on SAP Cloud Platform (aka BTP) and depends on your hosting (US, Europe, Asia). Maintenance modes are planned and customers are aware of it well in advance in order to mitigate potential impacts on the service offering.
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Performance
Amazon AWS
No answers on this topic
SAP
It's a pure SaaS platform hosted on SAP Cloud Platform (aka BTP). The experience is pretty much seamless with minimum loadings or noticeable lags. The hosting depends on your location so you may want to make sure the instance is available on a server close to you, such as the USA, Europe or Asia.
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Support Rating
Amazon AWS
No answers on this topic
SAP
Great support from the people of SAP Conversational AI as of the community. Sometimes it takes a little while for folks of the SAP Conversational AI team to answer but this has mostly to do with the overload of questions and users the product has. The gold-support channel within Slack that SAP Conversational AI has, is a great help to distinguish more professional usage and therefore more urgent questions.
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Alternatives Considered
Amazon AWS
Amazon SageMaker took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well.
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SAP
The platforms have similarities in terms of making the organization more data-driven. However, the use cases are different. SAP Analytics Cloud is used for reporting, deploying dashboards, and scheduling timely delivery of reporting and analytics. SAP Conversational AI is a more front-end product that end users can directly use to navigate the web application better. Both have strengths in their respective areas. Conversational AI is more recent and cutting edge.
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Return on Investment
Amazon AWS
  • We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
  • We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
  • For our use-cases, serving models is less expensive with SageMaker than bespoke servers.
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SAP
  • The impact has been very positive for our business objectives. Through the chatbot, our clients can have an immediate response to any of their requests without the need of an intervention of a person or without the use of the telephone or email. Customer satisfaction has been much higher.
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ScreenShots

SAP Conversational AI (discontinued) Screenshots

Screenshot of Transform your customer and employee experience with SAP Conversational AI, which combines a powerful bot building platform and a digital assistant nicknamed CoPilot.Screenshot of Bot Training – Plug human-like understanding in your chatbots.Screenshot of Bot Builder – Build adaptable conversational flows through a powerful and visual tool.Screenshot of SAP Conversational AI provides a powerful building platform that allows the building of end-to-end chatbots as well as the customization of your digital assistant.Screenshot of Leverage the power of our highly performing NLP technology capable of building human-like AI chatbots in any language.Screenshot of Understand how your chatbot is used and leverage that data to improve the performance of your dataset.