IBM Watson Studio in 10 videos

Armand Ruiz
IBM watsonx Assistant
3 min readMar 20, 2018

Today we are announcing IBM Watson Studio . The best way to understand its capabilities is to see them in action, that’s why we’ve prepared 10 short videos.

1. What is Watson Studio?

IBM Watson Studio is an integrated environment designed to make it easy to develop, train, manage models and deploy AI-powered applications. It is a SaaS solution delivered on the IBM Cloud. It gives your data scientists, engineers, developers and domain experts — the tools they need to collaborate — to drive innovation in their business.

Watson Studio: build AI models in one integrated environment

2. Neural Network Modeler and Deep Learning Experiments

Use Neural Network Modeler and Deep Learning Experiments on Watson Studio to solve the most challenging and computationally intensive problems with clarity and ease. Here, we’ll introduce these powerful tools in the context of an image classification task on large satellite imagery. We build a deep convolutional neural network and use RBFOpt hyperparameter optimization to find a solution quickly using best in class GPUs.

3. Model Management and deployment

Build models that learn over time with Watson Machine Learning and Watson Studio. ibm.com/cloud/watson-studio

4. Train custom models on Watson Visual Recognition and deploy on Core ML

Find meaning in visual data on Watson Studio! Analyze images for scenes, objects, faces, and other custom content. Take advantage of pretrained models, or create your own custom classifier. Develop smart applications that analyze the visual content of images or video frames to understand what is happening in a scene. Then, deploy your model for use in applications. We develop portable code snippets in cURL, Java, JavaScript, Python, and Scala. Our integration with Core ML means you can drop your Watson Visual Recognition model directly into your iOS applications as well.

5. Best Open Source and IBM Tools — Jupyter, RStudio, Scala, and more

Combine the best of open source libraries and frameworks with intelligent IBM tools to make your development environment much more powerful. Jupyter Notebooks or RStudio are an indispensable resources which allow your team to collaborate, to present and share results while you work interactively in a computing environment.

6. SPSS Modeler — refreshed UI for an enterprise data science powerhouse

Rapidly build and deploy SPSS Modeler models on Watson Studio. Generate charts and visualizations, refine and persist data, and create a live web service in a powerful, intuitive environment.

7. Data preparation with Data Refinery

If you are like most data scientists, you are probably spending a lot of time to cleanse, shape and prepare your data before you can actually start with the more enjoyable part of building and training machine learning models. As a data analyst, you might face similar struggles to obtain data in a format you need to build your reports. In many companies, data scientists and analysts need to wait for their IT teams to get access to cleaned data in a consumable format.

8. Dashboards for Interactive and Informative Data Visualizations

We are pleased to make Dynamic Dashboarding available with Watson Studio. Create expressive, informative dashboards. Watson Studio enables analysts working within Projects to explore data, to uncover insights, and to share their results through an easy to use drag and drop authoring tool which does not require either coding or proficiency using SQL

9. Streams Designers — a new IDE for building applications using real time data

Building real-time applications can be intimidating. Streams Designer makes the process easy and accessible by allowing you to simply drag and drop operators to shape, model, and transform your data as it flows from inputs to outputs. Streams Designer will allow new users to get their feet wet building real-time applications without having to dive deep into complex libraries and tools. Existing users will also love how quickly they can build and test new flows.

10. Collaboration and Community to share and learn!

Get started with Watson Studio today and invite your team to a suite powerful collaboration tools and Community resources. Collaboration and the Community for Watson Studio enable your team to work smarter and faster, together.

Give it a try here and get started for free: www.ibm.com/cloud/watson-studio

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Armand Ruiz
IBM watsonx Assistant

Lead Product Manager IBM Watson Studio and Machine Learning