The model management on Google Cloud AI Platform could be better. The APIs and the services are not fully described with their costs, which can be somewhat cryptic. The console itself could also be a little bit better, specifically the Google Cloud Console.
I think it's the it it also has has evolved quite a bit over the last few years, and Google Cloud folks have been getting, more and more services. But I think from a improvement standpoint, so maybe they can look at adding more algorithms, so adding more AI algorithms to their suite.
Customizations are very difficult, and they take time. The product should provide better customization. It should provide some out-of-the-box features that can be used to create a field or to make changes in the data validation. Linking to the database should be crisper so that we can do it with simple drag-and-drop functionalities instead of coding.
It could be more clear, and sometimes there are errors that I don't quite understand. So maybe they could improve the pricing. The performance could also be better.
The solution can be improved by simplifying the process to make your own models. Currently, I am using lower-end cameras and they can not recognize every object. The solution can take a page out of Microsoft's AI within Office 365 to make it more user-friendly. Allowing the solution to directly recognize lists so they don't have to be written out would make it more useful.
At first, there were only the user-managed rules to identify the best attributes of the individual. Then, we came up with a truth set and developed different machine learning models with the help of that truth set, so now it's completely machine learning.
AI Development Platforms are crucial tools enabling developers to build AI models with efficiency, flexibility, and scalability. They support machine learning, deep learning, and natural language processing, offering essential functionalities for smart application creation.These platforms provide a robust environment where developers can experiment with model training and testing, leveraging integrated tools and frameworks. They support a wide array of programming languages and offer features...
The model management on Google Cloud AI Platform could be better. The APIs and the services are not fully described with their costs, which can be somewhat cryptic. The console itself could also be a little bit better, specifically the Google Cloud Console.
Improvements in text extraction accuracy and pricing adjustments would be helpful.
I think it's the it it also has has evolved quite a bit over the last few years, and Google Cloud folks have been getting, more and more services. But I think from a improvement standpoint, so maybe they can look at adding more algorithms, so adding more AI algorithms to their suite.
Customizations are very difficult, and they take time. The product should provide better customization. It should provide some out-of-the-box features that can be used to create a field or to make changes in the data validation. Linking to the database should be crisper so that we can do it with simple drag-and-drop functionalities instead of coding.
It could be more clear, and sometimes there are errors that I don't quite understand. So maybe they could improve the pricing. The performance could also be better.
The solution can be improved by simplifying the process to make your own models. Currently, I am using lower-end cameras and they can not recognize every object. The solution can take a page out of Microsoft's AI within Office 365 to make it more user-friendly. Allowing the solution to directly recognize lists so they don't have to be written out would make it more useful.
At first, there were only the user-managed rules to identify the best attributes of the individual. Then, we came up with a truth set and developed different machine learning models with the help of that truth set, so now it's completely machine learning.