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Introducing Watson Studio Desktop 2.0

By Gene Azad posted Fri October 02, 2020 12:13 PM


Introducing Watson Studio Desktop 2.0

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Today, we are pleased to announce the launch of IBM Watson Studio Desktop 2.0, the award-winning, client-server offering within our Watson Studio portfolio. With this huge update, you will now be able to use a bunch of exciting new features we have been working on.

Data analytics just got easier. Visually prepare data and build models from your desktop — anytime, anywhere.

So What is New in Watson Studio Desktop 2.0?

AutoAI Is Here

The biggest update to Watson Studio Desktop is the addition of AutoAI. Combining Watson Studio Desktop with Watson Machine Learning Server, you can now start using AutoAI for automating long and tedious tasks, such as preparing data, selecting the best algorithm, and optimizing your features, saving you days, if not weeks in terms of work. To see how AutoAI can help you succeed, check out the links down below.

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5 Reasons Why AutoAI

Read why IBM AutoAI won the Red Dot design award

AutoAI from Beginner to Expert

See how AutoAI works

Your Favorite Features Brought To Desktop

We are also excited to bring some of the core and beloved features found within SPSS Modeler and Watson Studio Cloud to Watson Studio Desktop. Now you can move between our different products with ease. To see the full list of features added, check out the list below or see our documentation:

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End-To-End Data Science Experience

In tandem with the release of Watson Studio Desktop 2.0, we are also excited to announce the release of Watson Machine Learning Server 2.0, our single-node server and that can be integrated with Watson Studio Desktop for an end-to-end data science experience. With both products, you can now get full end to end deployment — explore and train your machine learning models in Watson Studio Desktop and deploy and scale those models on Watson Machine Learning Server.

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How are Watson Studio Desktop and Watson Machine Learning Server are better together?

Offload Workloads and Lightweight Scaling
Offload compute workloads from Watson Studio Desktop to seamlessly scale AutoAI Experiments and SPSS Modeler execution for model building through a Watson Machine Learning Server.

Have a Data Science Repository and Framework for Model Operations
You can use a Watson Machine Learning Server to create models and configure deployments for infusing in applications.

Deploys Analytical Assets Created in Watson Studio Desktop
Watson Studio Desktop features UI integration with Watson Machine Learning Server for managing models. Now you can manage deployments programmatically through Watson Studio Desktop

New features and an even better experience

Get started today

If you are ready to experience Watson Studio Desktop 2.0 and SPSS Modeler, let us know and speak with an expert from IBM.

Additional resources to check out: