Liwaiwai Liwaiwai
  • /
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Engineering
    • Architecture
    • Design
    • Software
    • Hybrid Cloud
    • Data
  • About
Liwaiwai Liwaiwai
  • /
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Engineering
    • Architecture
    • Design
    • Software
    • Hybrid Cloud
    • Data
  • About
  • Artificial Intelligence
  • Machine Learning

Google Named A Leader In The Gartner 2020 Magic Quadrant For Cloud AI Developer Services

  • March 5, 2020
  • relay

The enterprise applications for artificial intelligence and machine learning seem to grow by the day. To take advantage of everything AI/ML technologies have to offer, it’s important to have a platform that supports your needs fully—whether you’re a developer, a data scientist, an analyst, or just interested in AI. But with so many features and services to consider, it can be difficult to sort through it all. This is where analyst reports can provide valuable research to help you get the answers you need.

Today, Gartner named Google a Leader in the Gartner 2020 Magic Quadrant for Cloud AI Developer Services report. This designation is based on Gartner’s evaluation of Google’s language, vision, conversation, and structured data products, including AutoML, all of which we deliver through Google Cloud. Let’s take a closer look at some of Gartner’s findings.

Vision AI for every enterprise use case

You don’t need to be an ML expert to reap the benefits that our AI portfolio offers. Our vision and video APIs, along with AutoML Vision and Video products, let developers of any experience level build perception AI into their applications. These products help you understand and derive insights from your images and videos with industry-leading prediction accuracy in the cloud or at the edge.

Our Computer Vision products provide many features to help you understand your visual content and create powerful custom machine learning models:

  • Through REST and RPC APIs, the Vision API provides access to pretrained models that are ready to use to quickly classify images.
  • AutoML Vision automates the training of your own custom machine learning models with an easy-to-use graphical interface. It lets you optimize your models for accuracy, latency, and size, and export them to your application in the cloud, or to an array of devices at the edge.
  • The Video Intelligence API has pre-trained machine learning models that automatically recognize a vast number of objects, places, and actions in stored and streaming video.
  • AutoML Video Intelligence lets developers quickly and easily train custom models to classify and track objects within videos, regardless of their level of ML experience.
  • The What-If Tool, an open-source visualization tool for inspecting any machine learning model, enhances your model’s interpretability, offering insights into how it’s making decisions for AutoML Vision and our data-labeling services.
Read More  AI Will Drive The Market By 2030

While powerful pre-trained APIs and custom model creation capabilities are part of meeting all of an enterprise’s ML needs, it’s equally important to be able to deploy these models wherever the business needs them. To that end, our AutoML Vision models can be deployed via container wherever it works best for you: in a virtual private cloud, on-premises, and in our public cloud.

Easier and better custom ML models for your structured data

AutoML Tables enables your entire team of data scientists, analysts, and developers to automatically build and deploy state-of-the-art machine learning models on structured data at a massively increased speed and scale. To create ML models, developers usually need training data that’s as complete and clean as possible. AutoML Tables provides information about and automatically handles missing data, high cardinality, and distribution for each feature in a dataset. Then, in training, it automates a range of feature engineering tasks, from normalization of numeric features and creation of one-hot encoding, to embeddings for categorical features.

In addition, AutoML Tables also provides codeless GUI and python SDK options, as well as automated data preprocessing, feature engineering, hyperparameter and neural/tree architecture search, evaluation, model explainability, and deployment functionality. All of these features significantly reduce the amount of time it takes to bring a custom ML model to production from months to days.

Ready for global scale

As business becomes more and more global, being able to serve customers wherever they are or whatever language they speak is a key differentiator. To that end, many of our products support more languages than other providers. For example:

  • Our OCR Language Support counts over 200 languages.
  • Our speech-to-text product supports 120 languages and variants.
  • Our translation product supports 104 languages.
  • Our chatbot product supports 20+ languages, with more on the way.
Read More  11 Ways We're Innovating With AI

With such strong language support, Google Cloud makes it easier to grow your business globally.

As the uses for AI continue to expand, more organizations are turning to Google to help build out their AI capabilities. At Google Cloud, we’re passionate about helping developers in organizations of all sizes to build AI/ML into their workflows quickly and easily, wherever they may be on their AI journey. To learn more about how to make AI work for you, download a complimentary copy of the Gartner 2020 Magic Quadrant for Cloud AI Developer Services report.

relay

Related Topics
  • AutoML
  • Gartner 2020 Magic Quadrant
  • Google
  • Google Cloud
  • Google Cloud AI
You May Also Like
View Post
  • Artificial Intelligence
  • Technology

Limits To Computing: A Computer Scientist Explains Why Even In The Age Of AI, Some Problems Are Just Too Difficult

  • March 17, 2023
View Post
  • Artificial Intelligence
  • Machine Learning
  • Platforms
  • Technology

Using ML To Predict The Weather And Climate Risk

  • March 16, 2023
View Post
  • Artificial Intelligence
  • Platforms
  • Technology

Google Is A Leader In The 2023 Gartner® Magic Quadrant™ For Enterprise Conversational AI Platforms

  • March 16, 2023
View Post
  • Artificial Intelligence
  • Technology

The Future Of AI Is Promising Yet Turbulent

  • March 16, 2023
View Post
  • Artificial Intelligence
  • Data
  • Machine Learning
  • Technology

ChatGPT: How To Prevent It Becoming A Nightmare For Professional Writers

  • March 16, 2023
View Post
  • Artificial Intelligence

AI Tokens Are Gaining Momentum In 2023

  • March 14, 2023
View Post
  • Artificial Intelligence
  • Technology

How Bootstrapped Saas Businesses Can Use ChatGPT For Marketing

  • March 14, 2023
View Post
  • Artificial Intelligence
  • Automation

Can Businesses Help Build Trustworthy And Accurate Generative AI?

  • March 14, 2023

Leave a Reply

Your email address will not be published. Required fields are marked *

Stay Connected!
LATEST
  • 1
    How Osmo Is Digitizing Smell With Google Cloud AI Technology
    • March 20, 2023
  • 2
    Built With BigQuery: How Sift Delivers Fraud Detection Workflow Backtesting At Scale
    • March 20, 2023
  • 3
    Building The Most Open And Innovative AI Ecosystem
    • March 20, 2023
  • 4
    Understand And Trust Data With Dataplex Data Lineage
    • March 17, 2023
  • 5
    Limits To Computing: A Computer Scientist Explains Why Even In The Age Of AI, Some Problems Are Just Too Difficult
    • March 17, 2023
  • 6
    The Benefits And Core Processes Of Data Wrangling
    • March 17, 2023
  • 7
    We Cannot Even Agree On Dates…
    • March 17, 2023
  • 8
    Financial Crisis: It’s A Game & We’re All Being Played
    • March 17, 2023
  • 9
    Using ML To Predict The Weather And Climate Risk
    • March 16, 2023
  • 10
    Google Is A Leader In The 2023 Gartner® Magic Quadrant™ For Enterprise Conversational AI Platforms
    • March 16, 2023

about
About
Hello World!

We are liwaiwai.com. Created by programmers for programmers.

Our site aims to provide materials, guides, programming how-tos, and resources relating to artificial intelligence, machine learning and the likes.

We would like to hear from you.

If you have any questions, enquiries or would like to sponsor content, kindly reach out to us at:

[email protected]

Live long & prosper!
Most Popular
  • 1
    The Future Of AI Is Promising Yet Turbulent
    • March 16, 2023
  • 2
    ChatGPT: How To Prevent It Becoming A Nightmare For Professional Writers
    • March 16, 2023
  • 3
    Midjourney Selects Google Cloud To Power AI-Generated Creative Platform
    • March 8, 2023
  • 4
    A Guide To Managing Your Agile Engineering Team
    • March 15, 2023
  • 5
    10 Ways Wikimedia Does Developer Advocacy
    • March 15, 2023
  • /
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Engineering
  • About

Input your search keywords and press Enter.