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Unclaimed: Are are working at Google Cloud ?
Google Cloud is a suite of cloud computing services offered by Google, providing a range of hosting and computing options for web applications, data storage, and machine learning projects. It includes services such as Google Compute Engine, Google Cloud Storage, and Google Kubernetes Engine, supporting businesses and developers in building, deploying, and scaling applications across a globally distributed infrastructure.
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| Capabilities |
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|---|---|
| Segment |
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| Deployment | Cloud / SaaS / Web-Based |
| Support | 24/7 (Live rep), Chat, Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support |
| Training | Documentation, Live Online, Videos, Webinars |
| Languages | English, French, German, Indonesian, Spanish |
Compare Google Cloud with other popular tools in the same category.
It's easy to use Dialogflow through the terminal as well as through GUI.
It's not integrated with Google Cloud Console and has its own billing.
Building Question Answering chatbot
Data storage and pre process, Google cloud BigQuery is a platform which is reliable and storage the serverless database for storage of data and process the data, It is managed the multiple query at the same time and complex data. They are many feature in the GCP to use frequently for the web developers
I didn't find any cons about the Google cloud BigQuery expect the UI. Whenever i do run multiple query from the different database it will be lagging
We use the Google cloud BigQuery to process the huge customer and data for the analysis. It save lot of time by running the verious query at the same time from different different project simultaneously and efficiently
Google access transparency provide logs and details which much more relevant and good information related to the product.
There is nothing to dislike from Google cloud access transparency
Monitoring the data and product
The Vertex AI workbench provides a miriad of options to customize your workbook according to your needs, it is easy to allocate and implement. It runs on Jupyter environment hence has optimized performance. It is also easy to integrate with google services like Cloud Bucket or Natural Language API.
There is a minor issue while restarting the kernel which causes a slight inconvenience, but it can be avoided by carefully running the cells diligently.
I think it provides a great platform to play with your ML skills as you can easily create a data pipeline by the resources available, also you can get a hands on experience from the existing notebooks present there.
The translation models have eased communication in the enterprise. It can collect and orchestrate data from various sources to suit website configurations. It has simple user interface and intuitive dashboard efficient for new users.
It has accomodated set plans and implemented set tasks as planned.
This is the real cloud translation solution that suits enterpise data management projects. It helps teams to collaborate effectively at a convenient pace. The translation tools keeps information secure and prevents it from malware attacks.
It is extremely easy to allocate and modify the CPU allocation, it offers various versions of boot disks, GPU's external Hard Drives, and amy possible modification one might need while allocating a VM, via the cloud console.The customer support is extremely helpful, they respond almost immedeately. You can integrate it with any technology like terraform or kubernet and use it to your satisfaction.
Honestly, there is nothing to dislike in this except for unavalibility of certain zones at times of high traffic but that is not the highlighted issue as it is trivial for any cloud product.
There are countless benefits of the Google Compute Engine, off the top helping small buisness migrate to a hassle free cloud environment that helps them focus on their buisness strategies better, it offers secured platform to run your applications, computation intensive programs at a reasonable cost. You only pay for what you use so it becomes affordable as well, which makes it more attractive to users.
Duet AI helps to integrate everything with me and my team in our organisation. It helps me to improve our team work.
Nothing to dislike for this Duet AI everything is very good
It integrates me and my team in a easy manner and this Duet AI meets our requirements and very helpful tool for the team work.
One thing I highly give thumbs up about Google Cloud Speech-to-Text is how easy to use, this means everyone in my organization is able to use this tool at their own convenience. It also simple and easy to convert our voice to text making it a very top-notch and game-changer transcription platform. It's a reliable and trustworthy tool that helps us to recognize speech and transcribe it from audio to text. This tool has eliminated most of our communication barriers and enabled us to collaborate and communicate in real-time with all our team members. It's also a very accurate tool which gives us a high transcription accuracy.
Sometimes especially when we are connected to poor internet it affects the speed of Google Cloud Speech-to-Text. Overall I am pleased and happy every aspects of this tool.
We use Google Cloud Speech-to-Text to recognize industry specific words and phrases fast and accurately. We also use this tool to transcribe audio/video with close human accuracy. It also helps us to transcribe conference calls, interviews , podcast and meeting records into many languages and dialects helps to eliminate communication barriers. This boots collaboration and teamwork even in remote areas.
Google Cloud Run is allow for the developers to deploy and containerisaztion application without worrying about the managing server infrastruction, they allow to manage the large amout of database from the cloud within a second and its abstract the underlying infrasturcture manking it easy to focus coding and deploying the application it is easy to implementation to integration with the appliation
Due to serverless services, it is less prefered to storing the data for long time -GCP has less number of feature and services compare to AWS
they solve the problem -managing containerized microservices -serverless so i can operate it from anytime and anywhere, according to my need with proper sync speed
Google cloud run is helpful for the criticle business problem related to infrastructure and the complexcity. is it one of the best serverless container that manager there cost automatic efficentyly, it is easy to use and easy to integrated with the application of cloud.
the plateform is little slow and there are not alternatives for controling the fundamental infrastrucure 1)and off course the price point cloud run is user friendly but they have some issue with those data who's not stored on cloud.
they solve the main problem that to manage the large amount of data set and manage the infratructure basebase from the cloud and the solve the container management