For surveys, and for centralized info-gathering, FluidSurveys provides an excellent solution. There are other programs out there which provide a wider range of solutions (i.e., they can be used for surveying AND comprehensive online engagement, rather than just a data-gathering type of consultation); however, for programming and implementing surveys, FluidSurveys has an effective variety of strengths and options that make it optimal for users who are focused specifically on surveys.
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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User-friendly. For the majority of the general and basic tools you can use with FluidSurveys to build surveys are simple to use and intuitive. When certain issues come up, the service is quick (chat room) and effective.
Anonymity: the software has the reputation of being safer in terms of safeguarding private information the respondents share by answering surveys (this is mainly due to the fact that the servers are in Canada). Thus, indirectly, they increase response rates.
Extensive possibilities: FluidSurveys offers a plethora of possibilities and options that really renders the experience interesting in terms of micro-managing each details of the surveys you are sending out there. When the invitation leaves by email, it is exactly how you want it.
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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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Note: I am responding to this question as a user of the system and not a representative of my organization.
On a personal level/as a user only, I would definitely continue to use FluidSurveys.On a personal level/as a user only, I would definitely continue to use FluidSurveys.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I think the average person can very quickly pick up on the basics of the system: they would have no problems programming and launching a basic survey. Organizations may benefit from having people of different backgrounds getting their hands dirty in the system: at a minimum, both web programmers and opinion research advisors should be solicited for input or help.
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.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Although I do not have much experience with Survey Monkey, the only two reasons why I choose FluidSurveys is that clients demand it (privacy and anonymity) and because managing multiple surveys at a time is easier. As for ODK Collect, I think it is a valuable alternative to FluidSurveys if you have time to learn the coding (not very complicated). ODK is a little less user friendly and you cannot address small details as you can with FluidSurveys (e.g.: formatting).
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
