IBM Cloud with Watson Studio helps you create AI models and use data wisely

IBM Cloud with Watson Studio helps you create AI models and use data wisely Learn more

Operationalize data science in a hybrid environment

IBM Data Science Experience is an enterprise data science platform that provides teams with the broadest set of open source and data science tools for any skill set, the flexibility to build and deploy anywhere in a multicloud environment, and the ability to operationalize data science results faster.

→ Watch data science experience demos and tutorials

Benefits

Flexible Tools

Flexible platform allows you to access the broadest range of data science tools, from data prep to model development, for coders and non-coders.

Hybrid Environment

Multi-cloud environment allows you to bring your analytics to the data; on-prem, in IBM Cloud Private, or in the public cloud to achieve greater data access and agility.

Production Ready

Ability to deploy, evaluate and manage models with ease in a secure environment, so you can put data science into production faster.

Looking for an IBM Cloud offering? Check out Watson Studio

Looking for an IBM Cloud offering? Check out Watson Studio Schedule a consultation

Features

Explore and prepare feature

Explore and prepare

Use Jupyter Notebooks with Python, R and Scala. Code or use the drag and drop tools with data visualization capabilities

Model and predict feature

Model and predict

Build and optimize models using open source tools such as Scikit-learn, XGBoost, Spark Mlib, TensorFlow, Caffe, Keras and MXNet

Deploy and run feature

Deploy and run

Securely train models behind your own firewall and deploy them to the cloud with one click. Deploy a package and get real-time predictions with the IBM REST API

Monitor and measure feature

Monitor and measure

Measure the success of your models with built-in performance monitoring tools and automatically retrain them to adjust to new data

Testimonials

Partner solutions

lightbend

Lightbend

Relies on IBM Data Science Experience for the development of machine learning and deep learning models that are deployed against streaming workloads, via reactive micro services.

H20.ai

H20.ai

Runs H2O algorithms through the IBM Data Science Experience platform to manage and collaborate on data science projects.

LPA Software Solutions

LPA Software Solutions

Delivers analytics and machine learning expertise built on client satisfaction and 17 years of experience, assisting data scientists as they learn, create, and collaborate across a variety of platforms.