IBM Watson Studio

Languages supported: English

8.2/10 (Expert Score) ★★★★★
Product is rated as #16 in category Data Preparation Software
Ease of use
7.7
Support
8.3
Ease of Setup
0.0

Images

Check Software Images

Together with IBM Watson Machine Learning, IBM Watson Studio is a leading data science and machine learning platform built from the ground up for an AI-powered business. It helps enterprises scale data science operations across the lifecycle–simplifying the process of experimentation to deployment, speeding up data exploration and preparation, as well as model development and training.

IBM Watson Studio is code-optional, allowing both data scientists and business analysts to work on the same platform by providing the best of open source tools along with visual, drag-and-drop capabilities. It empowers organizations to tap into data assets and inject predictions into business processes and modern applications—helping them maximize their business value. It’s suited for hybrid multicloud environments that demand mission-critical performance, security, and governance.

Features include:
– Automated data prep to eliminate time-consuming, repetitive tasks
– Text Analytics for uncovering insights from unstructured data
– Drag-and-drop visual model-building with SPSS Modeler
– Broad data access – flat files, spreadsheets, major relational databases
– Sophisticated graphics engine for building stunning visualizations
– Support for Python 3 Notebooks

Watson Studio is available via several deployment options:
– IBM Cloud Pak for Data – IBM’s open, extensible data and AI platform that runs on any cloud
– IBM Watson Studio Premium for IBM Cloud Pak for Data – Adds IBM SPSS Modeler, IBM Decision Optimization and Hadoop Execution Engine
– IBM Watson Studio Desktop – Downloaded straight to your Windows or Mac machine
– IBM Watson Studio Cloud – Runs on the IBM Cloud

IBM Watson Studio
IBM Watson Studio

Show more categories

Customer Reviews

IBM Watson Studio Reviews

Yader C.

Advanced user of IBM Watson Studio
★★★★★
Amazing!

What do you like best?

Variety of tools, and they were pretty useful. I could get my IBM Data Science professional certificate. Now I am taking a Micromaster in Statistics and Data Science offered by MIT. Which is comprised of four online courses and a virtually proctored exam that will provide me with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. In some months I will be able to develop and build machine learning algorithms to extract meaningful information from seemingly unstructured data; learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks

What do you dislike?

Nothing. Because everythings worked well. I strongly believe it's an amazing tool for everyone interested in learning about Artificial Intelligence and Data Science

Recommendations to others considering the product:

I will strongly recommend Watson Studio to all the people mastering AI and Deep Learning

What problems are you solving with the product? What benefits have you realized?

Data Science problems. I analyzed many datasets and extracted useful information.

With the help of Watson Studido I could access to:

Continuous Learning: Teach Watson with embedded AI services, including Watson Visual Recognition, and convert custom models to CoreML.

Tools I know: Use familiar open source data science and machine learning tools, with Jupyter Notebooks, RStudio and Scala.

Deep learning integration: No-code visual modelings with Neural Network Modeler for designing neural architectures using the most popular deep learning frameworks.

Refine my data: Spend less time preparing data and more time discovering insights using Data Refinery.

See my data: Explore and visualize data with interactive, embedded dashboards.

Review source: G2.com

Leave a reply

Your total score

B2B Software Guide