It´s used to archive of all fundamental data of the company, so it´s crucial to have one source of truth through all the group. It´s individual member can access there, all the necessary data to perform his work.
Pros
Storage of information
Facility to share info with others
Although you can easily share data you can also maintain the proper controls
Cons
Use AI for recognizing documents in several languages
Use AI to help properly storage docs
Likelihood to Recommend
Very user friendly to work with specially in international environments. This comes along with the ease to set up controls per person of the access to the data. The access via email is also a very nice feature that helps to quickly reply/view what is needed. The thing to improve is helping the user to properly storage info in a way that can be easily tracked.
Google Cloud AI is used for computer vision-related workloads company-wide for image classification and other related use cases.
Pros
Google Cloud AI was easy to set-up without need for lot of customization and configuration.
It integrates very well with the Google BigQuery and Google PubSub that makes it easy to have a ready to use pipeline from data ingestion to analysis.
Google Cloud AI has out of the box CV algorithms and video processing modules/APIs that makes is easy to use for image/video processing application and use cases.
Cons
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.
Likelihood to Recommend
Google Cloud AI is great when you do not need to want to spend time customizing AI libraries and algorithms, and your data is already in the cloud. It is not particularly suited for hybrid cloud deployments or where you need to use/implement your own AI algorithm.
VU
Verified User
Analyst in Information Technology (51-200 employees)
This tool is being used in our organization by a specific management team, we are using the speech Cloud API. The truth is, to our team of researchers in the behavior field, it has been extremely useful. The savings in the hours-man equation is something wonderful. Now an activity that took us weeks of time invested before, we can do it in hours. And of course, now we dedicate more time to developing activities carried out with the result of our investigations in relatively short time, thanks to this application.
Pros
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
Cons
really this application so far has been very useful.
we believe that it could be better using other forms apart from the microphone.
I believe that this application can be merged with another in a way that throws general data on the topics investigated.
Likelihood to Recommend
In our case, we handle a large volume of interviews in the field and sometimes we can not take our work teams, either for reasons of logistics or security and consequently we must have a tape recorder. and this delays the project time a bit.
