Google Cloud Datalab Pricing & Demo

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Google Cloud Datalab
Mountain View, USA
1998
Enterprise
88 Likes
75 Buyers Negotiating

Summary

Google Cloud AutoML Machine Learning Software is a managed platform, which gives users the ability to easily build machine learning software models that work on any type and size of data. It allows users to create their model with the powerful TensorFlow framework that powers many Google products, such as Google Photos and Google Cloud Speech. Google engine can perform large scale training on a managed cluster and can also manage the trained models for large scale online and batch predictions.

Discussions

Strengths
  • +9
    Platform
  • +10
    Services
  • +8
    Software Tools
  • +6
    APIs for Batch and Real-time Predictions
  • +7
    Data Transformations
  • +11
    Data visualization and exploration
  • +14
    Machine Learning Algorithms
  • +5
    Model assessment and scoring
  • +12
    Model Evaluation and Interpretation Tools
  • +13
    Modeling APIs
  • +10
    Product Features and Functionality
  • +10
    Customer Support
  • +6
    Dedicated Account Manager (DAM)
  • +12
    Others, please specify
  • +14
    Product Demos
  • +5
    Proof of Concept
  • +11
    Sales Support
  • +13
    Software Requirement Specification (SRS)
  • +9
    Technical Support
  • +12
    New Product Launches
Cautions
  • -9
    Breadth and Depth of Product Offerings
  • -11
    Focus on Product Innovation
  • -13
    Product Quality and Reliability
  • -6
    Customer Feedback Frequency
  • -7
    Solution Scalability
  • -8
    licenses
  • -5
    Products/Solutions Offered
  • -12
    Product Innovation
  • -10
    Large Enterprises (Revenue> 500 Million)
  • -8
    Managed services (Support & Maintenance)
  • -9
    Small and Medium sized Enterprise
  • -7
    On-Site Support
  • -12
    Product Differentiation and Impact on Customer Value
  • -8
    Remote Support
  • -11
    cutomer satisfaction
  • -14
    R&D Spend
  • -7
    Professional Services (Consulting & Training)
  • -6
    Customer Redressal Mechanism/Program
  • -5
    Level of Support
Google Cloud Datalab Presence in Machine Learning Software
Google specializes in web-related services, which include online advertising technologies, search engine, cloud computing, and software related services. Since its inception, the company has diversified its portfolio into various domains using both organic as well as inorganic strategies. It followed organic strategies by developing several new products for various purposes. Some of the major products are Google Docs, Gmail, Google Drive, and Google Plus. It has also developed Android, a widely used operating system for smartphones. The company has also created the Google Cloud Platform, which uses Google’s core infrastructure, machine learning software, and data analytics. In May 2016, the company launched a TPU, which is an application specific integrated circuit. TPU is personalized to machine learning, which increases the speed of operations. Due to this, more sophisticated and powerful machine learning software models can be used and applied quickly. Along with these strategies, Google has also acquired a lot of companies to expand its machine learning and deep learning domains. In September 2016, Google acquired Apigee Corp., which provides API management and predictive analytics software. It also acquired Api.ai, a developer of human–computer interaction technologies based on natural language conversations.
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