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Google AI Platform

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Google AI Platform

Overview

Synopsis

AI Platform makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.

Category

Customer Churn Renew Software, Customer Upsell Cross Sell Software

Features

• Cloud-based Machine Learning
• Customer Sentiment Analysis
• Spam Detection
• Recommendation Systems
• Sentiment Analysis
• Purchase Prediction

License

Proprietary

Price

Contact for Pricing

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)

Website

Google AI Platform

What is best?

• Cloud-based Machine Learning
• Customer Sentiment Analysis
• Spam Detection
• Recommendation Systems
• Sentiment Analysis
• Purchase Prediction

What are the benefits?

•State-of-the-art security system
•Convenient pricing scheme
•Long-term use guaranteed
•Get reliable answers within seconds
•Create top-notch products
•Keep your applications alive
•Never again worry about server management

PAT Rating™

Editor Rating

Aggregated User Rating

Rate Here

Ease of use

9.4

7.2

Features & Functionality

9.6

7.3

Advanced Features

9.6

8.9

Integration

9.4

8.8

Performance

9.5

8.8

Customer Support

8.0

Implementation

7.8

Renew & Recommend

8.9

Bottom Line

Prediction API can integrate with Google App Engine, and the RESTful API is available through libraries for many popular languages, such as Python, JavaScript and .NET.

9.5

Editor Rating

8.3

Aggregated User Rating

72 ratings

You have rated this

AI Platform makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively. From data engineering to “no lock-in” flexibility, AI Platform’s integrated tool chain helps you build and run your own machine learning applications.

AI Platform supports Kubeflow, Google’s open-source platform, which lets you build portable ML pipelines that you can run on-premises or on Google Cloud without significant code changes. And you’ll have access to cutting-edge Google AI technology like TensorFlow, TPUs, and TFX tools as you deploy your AI applications to production.

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1 Reviews

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Karine Fyall
May 18, 2017 at 11:43 am

Lot of flexibility
What is best?
Google cloud platform is an application program interface (API) that provides a Representational state transfer (ReST). Using a client-server, stateless and cacheable communications protocol, this architecture design style enables a lot of flexibility as REST is the most logical, efficient and widespread standard in API creation.

What are the benefits?
Google cloud Platform seeks to manage the coding technicalities of product and application owners, as well as service providers. With a pricing strategy that depends on the service package and timing, GCP is quite cost-effective.

Company size
Medium (50 to 1000)

User Role
Super User
User Industry
Food
Rating
Ease of use8.2
Features & Functionality8
Advanced Features8.5
Integration8.1
Performance8.2
Training 8.1
Customer Support8.1
Implementation8
Renew & Recommend8.2

ADDITIONAL INFORMATION
The platform provides maximum security for its users with the framework innovated by over 700 experts. Also, long-term security is insured with frequent innovations and willingness to improve efficiency and customer experience. With an impressive database, and analytics, the platform enables improvement in users’ products and applications by providing answers in the shortest time possible. With the provision of server management, life is made easier for users. Some special features to improve experience that the platform adds to users’ applications include but are not limited to: spam detection, recommendation systems, and customer sentiment.