What users are saying about
41 Ratings
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Score 7.9 out of 100
72 Ratings
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Score 8.6 out of 100

Attribute Ratings

  • Google Cloud AI is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

8.2

Azure AI (Cortana)

82%
3 Ratings
10.0

Google Cloud AI

100%
6 Ratings

Likelihood to Renew

Azure AI (Cortana)

N/A
0 Ratings
10.0

Google Cloud AI

100%
1 Rating

Usability

Azure AI (Cortana)

N/A
0 Ratings
10.0

Google Cloud AI

100%
1 Rating

Support Rating

Azure AI (Cortana)

N/A
0 Ratings
7.3

Google Cloud AI

73%
6 Ratings

Implementation Rating

Azure AI (Cortana)

N/A
0 Ratings
10.0

Google Cloud AI

100%
2 Ratings

Likelihood to Recommend

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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Google

Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.
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Pros

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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Google

  • good conversion from the voice to the text
  • speed in the conversion from voice to text
  • time-saving in the conversion activity
  • analysis of the results of the conversion in real time
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Cons

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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Google

  • Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
  • Customization of existing modules and libraries is harder and it does need time and experience to learn.
  • Google Cloud AI can do a better job in providing better support for Python and other coding languages.
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Pricing Details

Azure AI (Cortana)

Starting Price

Editions & Modules

Azure AI (Cortana) editions and modules pricing
EditionModules

Footnotes

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    Google Cloud AI

    Starting Price

    Editions & Modules

    Google Cloud AI editions and modules pricing
    EditionModules

    Footnotes

      Offerings

      Free Trial
      Free/Freemium Version
      Premium Consulting/Integration Services

      Entry-level set up fee?

      No setup fee

      Additional Details

      Likelihood to Renew

      Microsoft

      No answers on this topic

      Google

      We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.
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      Usability

      Microsoft

      No answers on this topic

      Google

      So far we have not had any problems with the application, it is extremely easy to use and it is also easy to install. It does not require much training since the instruction is quite clear for its execution and application in the procedures of the company. The team in charge of this application is very pleased to work with this app.
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      Support Rating

      Microsoft

      No answers on this topic

      Google

      Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.
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      Implementation Rating

      Microsoft

      No answers on this topic

      Google

      In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.
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      Alternatives Considered

      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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      Google

      These are basic tools although useful, you can't simply ignore them or say they are not good. These tools also have their own values. But, Yes, Google is an advanced one, A king in the field of offering a wide range of tools, quality, speed, easy to use, automation, prebuild, and cost-effective make them a leader and differentiate them from others.
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      Return on Investment

      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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      Google

      • Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
      • We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
      • The ROI seems positive since we are full in with Google, and the tools come along with the functionality.
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