Google Cloud AI

Google Images analysis model is a good one and I think is very useful in our case of detections. Speech AI is also a good one. I can only recommend Google Cloud AI API and the model for that second will be SpeechKit by Yandex both these tools have exceptional values one can utilise to enhance their projects.

Lost a lot of data when using another company and this has helped with everything and I haven't lost anything yet. The vault keeps a lot of private information that we once lost safe and we have never had any problems since then.

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.

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.

Everyday work, e.g. e-mailing, research, connectivity during and in transit to meetings, is excellent for using the cloud AI tools and solutions. The more one uses it, the easier it becomes. Our organization is just scraping the surface of the AI tools, and we want to be full in. This will take change management on our side, and more immersion.

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.