Azure AI Language (formerly Azure Cognitive Service for Language) is a managed service to add natural language capabilities, from sentiment analysis and entity extraction to automated question answering. Users can identify key terms and phrases, understand sentiments, and build conversational interfaces into applications. Annotate, train, evaluate, and deploy customizable models without machine-learning expertise.
N/A
Google Cloud AI
Score 8.2 out of 10
N/A
Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.
N/A
PG Forsta HX Platform
Score 9.1 out of 10
N/A
The PG Forsta HX platform, the technology and research solution formed from the Forsta solution based on the combined (through merger) technology of Dapresy, Confirmit, and FocusVision, and later by the acquisition of Press Ganey in 2022, is a customer experience management solution featuring both forms and text analysis to understand the Voice of the Customer.
N/A
Pricing
Azure AI Language
Google Cloud AI
PG Forsta HX Platform
Editions & Modules
No answers on this topic
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure AI Language
Google Cloud AI
PG Forsta HX Platform
Free Trial
No
No
No
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
—
—
—
More Pricing Information
Community Pulse
Azure AI Language
Google Cloud AI
PG Forsta HX Platform
Considered Multiple Products
Azure AI Language
Verified User
Professional
Chose Azure AI Language
Key Phrase Extraction Question answering Availability of Customizations
Best suited for large organizations, availability of usage of more than one language in a specific API call. Moderately suited for small and mid sized organizations as the pricing is on a higher end
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.
They have done a good job at helping us maintain the integrity of the project while transitioning to a completely new platform. Our Voice of the Customer program happens to consist of multiple surveys within one "master" so I guess logistically it could be considered complex
The data is pre configured that means the AI models that are used by features are not customizable. One needs to send data and have to use the output of the feature in our application
Availability of customizations in order to adjust some specific requirements
Availability of Language studio so that one can avoid coding
Confirmit has a fairly shallow learning curve allowing someone with no experience to be able to create a simple survey with not much time invested in training.
Confirmit also has the flexibility to be used in very advanced ways. Whether modifying the display/page content's layout or modifying input types with jQuery, it is incredibly adaptable.
Confirmit (with v. 18) now collects data in a true SQL database which is far more robust and easy to administrate than some other methods of data storage.
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.
Ensure correct data collection. This is Confirmit's main goal, and which sometimes fails to succeed.
Integrated data back-up service. It would be great if we could look at the data from a couple days previous.
Interactive layout creator. Current layout creator is really "squared" as we say, it needs more flexibility with all the incoming technologies such as HTML5 and CSS3.
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.
From my point of view Confirmit has been a key tool in our organization. Without it we can't deliver what we do at this moment. Confirmit has proved that is a reliable, stable and easy to use tool. The few issues we found (as far as I know) were sent to Confirmit support team and fix them. Patching the product has been done faster and without large downtime of the product
I give 8 because although it´s a tool I really enjoy working with, I think Google Cloud AI's impact is just starting, therefore I can visualize a lot/space of improvements in this tool. As an example the application of AI in international environments with different languages is a good example of that space/room to improve.
Confirmit is a very technical tool, it takes time for someone to get used to the interface, even when it could definitely be more intuitive or user friendly, this is part of Confirmit's strenghts that makes it one of the most robust data collection technologies out there.
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.
The support team is responsive and I can tell that they are actually trying to help get to the heart of the issues before making us try every possible solution available. They ask the right questions and test things before coming back to us with proposals. I like the support team at Confirmit.
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.
We haven't used other products. Our experience with Azure, whilst not meeting our needs this time around, was positive, educational and insightful. This was the first time that we had considered using an AI tool to manage and manipulate our data and we were unsure of the capabilities.
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.
Forsta has a strong product functionality and performance. Integration capabilities are fantastic and it has strong customer focus. Pre-existing relationships also helped in cracking this deal. People at Forsta are helpful and customer centric. Although cost is not highly competitive but it comes close to value for money. Competitors have quite a few functionalities but there are additional charges levied for them.
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.
I love Confirmit, the only negative is that my experience using any other program is always terrible in comparison.
I had Confirmit rep come into the office and was disapointed that they didn't have much informaton on how to use it as a researcher in marking research, perhaps employing more internal marketing researchers would help that.
