IBM named a Leader

Gartner releases 2021 Magic Quadrant for Data Science and Machine Learning Platforms.

What is AutoAI? Why now?

Strategic investments in AI can be a game changer. To fulfill the promise of AI, organizations are now tackling skill-set gaps, deployment and governance processes. In particular, businesses are seeking an alternative where citizen data scientists can quickly get started, and expert data scientists can speed experimentation time from weeks and months to minutes and hours. They need a multimodal data science and AI environment where data and analytics specialists collaborate with other experts and optimize model performance end-to-end.

To help simplify an AI lifecycle management cycle, AutoAI automates:

  • Data preparation
  • Model development
  • Feature engineering
  • Hyper-parameter optimization

AutoAI is available within IBM Watson® Studio with one-click deployment through IBM Watson® Machine Learning. Use it with IBM Watson® OpenScale™ to track and measure AI outcomes together with the Watson Studio family.

To learn more, view the AutoAI infographic (PDF, 2.8 MB) or read the AutoAI tutorial on how to find and deploy the best models in minutes.

AutoAI benefits

Fast model selection

Select top-performing models in only minutes.

Start quickly

Get started with experimentation, evaluation and deployment.

AI lifecycle management

Enforce consistency and repeatability of end-to-end ML and AI development.

AutoAI features

Integrated UI

Automate data prep, feature engineering and hyper-parameter optimization.

Pipeline leaderboard

Watch and compare the top performing models on the leaderboard.

One-click deployment

When you are ready, save and select services to deploy with Watson Machine Learning.

What’s new with AutoAI

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Automation of AI

Listen to Ruchir Puri discuss the next revolution in automating AI. Learn how to automate building, deploying and managing AI.

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Watson Machine Learning and Watson OpenScale: Automate and Operationalize AI

Learn how you can automate and operationalize AI across the data science lifecycle with AutoAI today.

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AutoAI from a beginner to expert

Learn how the award-winning AutoAI feature in Watson Studio can automate data preparation and model deployment.

Comparison Table

AutoAI versus AutoML
  AutoAI Traditional AutoML
Transfer learning   
Neural network search   
Data preparation
Advanced data refinery   
Feature engineering
Hyper parameter optimization
One click deployment   
Explainability and de-biasing   
AI lifecycle management   

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