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Google Cloud AutoML

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Last updated on

Company health

Employee growth
69% increase in the last year
Web traffic
2% decrease in the last quarter
Financing
July 2018 - $16M

Ratings

G2
4.1/5
(22)
Glassdoor
3.5/5
(2)

Google Cloud AutoML description

Google Cloud AutoML is a suite of tools that lets you build custom machine learning models, even without deep technical expertise. It uses Google's advanced technologies to create models tailored for your specific needs, whether analyzing text, images, video, or tabular data. You can then easily deploy and scale these models. AutoML is part of Google Cloud's Vertex AI platform, offering a user-friendly way to harness the power of machine learning for your business.


Who is Google Cloud AutoML best for

Google Cloud AutoML empowers businesses to build custom machine learning models without coding expertise. It supports various data types (image, video, text, tabular) and streamlines model deployment and scaling. A good fit for medium to large enterprises across diverse industries seeking to leverage data insights and improve processes.

  • Ideal for medium to large enterprises seeking custom ML solutions without extensive in-house expertise.

  • Suitable for diverse industries, including healthcare, media, and technology, looking to leverage data for insights.


Google Cloud AutoML features

Supported

AutoML enables users to create custom machine learning models tailored to their specific data and requirements, regardless of their ML expertise.

Supported

AutoML caters to multiple data types such as image, video, text, and tabular data.

Supported

AutoML makes it easy to deploy and scale custom models, allowing for greater accessibility and efficiency.

Supported

Provides features like object detection and image classification within AutoML Image.

Supported

AutoML Video offers video analysis features such as object tracking, shot change detection, and streaming analysis.

Supported

AutoML Text offers text analysis functionalities such as entity extraction and sentiment analysis.

Supported

AutoML Tabular allows for training ML models on structured data.


Google Cloud AutoML pricing

The commentary is based on 1 reviews from Google Cloud AutoML G2 reviews.

Google Cloud AutoML offers a simple interface and integrates well with other Google Cloud services. However, users frequently mention its high cost, especially for custom training, making it less budget-friendly than other machine learning solutions.

See the Google Cloud AutoML pricing page.


Google Cloud AutoML alternatives

  • Logo of Anaconda
    Anaconda
    Streamlines data science and machine learning with Python.
    Read more
  • Logo of Vertex AI Notebooks
    Vertex AI Notebooks
    Cloud-hosted notebooks for data science and machine learning.
    Read more
  • Logo of Google Cloud AutoML Natural Language
    Google Cloud AutoML Natural Language
    Easily build custom AI to analyze text, no coding needed.
    Read more
  • Logo of Vertex AI
    Vertex AI
    Unified machine learning platform to build, deploy, and scale AI.
    Read more
  • Logo of Google Cloud AutoML Vision
    Google Cloud AutoML Vision
    Custom image recognition models, no coding needed.
    Read more
  • Logo of Simplismart
    Simplismart
    Build, train, and use AI models without code. Fast, easy, affordable.
    Read more

Google Cloud AutoML FAQ

  • What is Google Cloud AutoML and what does Google Cloud AutoML do?

    Google Cloud AutoML empowers businesses to create custom machine learning models without coding expertise. It supports various data types (image, video, text, tabular) and simplifies model deployment and scaling within Google Cloud's Vertex AI platform. This enables organizations to leverage the power of AI for diverse applications.

  • How does Google Cloud AutoML integrate with other tools?

    Google Cloud AutoML integrates seamlessly with other Google Cloud services, including Vertex AI, Dataflow, and BigQuery. This allows for streamlined data processing, model training, and deployment within the Google Cloud ecosystem. It also supports various data formats and offers APIs for custom integrations.

  • What the main competitors of Google Cloud AutoML?

    Top alternatives to Google Cloud AutoML include Vertex AI, Amazon SageMaker, Microsoft Azure Machine Learning, DataRobot, and H2O.ai. These platforms offer similar machine learning capabilities for building and deploying custom models.

  • Is Google Cloud AutoML legit?

    Yes, Google Cloud AutoML is a legitimate and safe suite of machine learning tools. It's a product offered by Google, a reputable tech company, designed to make building custom AI models accessible, even without coding expertise.

  • How much does Google Cloud AutoML cost?

    I couldn't find pricing details for Google Cloud AutoML. For the most current pricing information, please check Google Cloud's official documentation or contact their sales team. This will help you determine if the product is worth the investment for your needs.

  • Is Google Cloud AutoML customer service good?

    Customer reviews indicate Google Cloud AutoML is fast, easy, and secure. However, some users have encountered permission and security issues. Overall, it appears to be a valuable tool, especially for those with limited machine learning experience.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.