Good for large teams with large data reiterating on their data projects in various steps.
Collaboration is the key aspect in whatever projects we do at our organization. We have people from web development, data science, and ML …
Overview
What is IBM Watson Studio?
IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data…
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Popular Features
- Interactive Data Analysis (22)10.0100%
- Visualization (22)10.0100%
- Connect to Multiple Data Sources (22)8.080%
- Extend Existing Data Sources (22)8.080%
Pricing
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What is IBM Watson Studio?
IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI…
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- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Details
- About
- Competitors
- Tech Details
- FAQs
What is IBM Watson Studio?
IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.
IBM Watson Studio Competitors
IBM Watson Studio Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Frequently Asked Questions
Amazon SageMaker and Azure Machine Learning are common alternatives for IBM Watson Studio.
Reviewers rate Automatic Data Format Detection and Visualization and Interactive Data Analysis highest, with a score of 10.
The most common users of IBM Watson Studio are from Enterprises (1,001+ employees).
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(221)Attribute Ratings
Reviews
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May 08, 2018
Watson vs. DATA
Watson Studio is used within Manifest Life Inc to help gather, process, and visualize various amounts of data. We use Watson Studio throughout our data management lifecycle and view it as the best all-in-one data management offering within the market. Watson Studio has helped our organization manage our data operations more fluidly through the offerings ease of use and minimal learning barrier. This product from IBM works like a charm and is flexible in small and/or large business environments. Data sets of all size can be easily cleaned, processed and leveraged in order to help meet our business objectives and create new opportunities.
- Cloud-based file sharing helped our organization stay up to date when managing assets, new or old.
- Watson studio does a fantastic job visualizing outcome data which enabled our organization to easily create a narrative based on what we were able to see.
- Particularly within our organization, Watson Studio strength was noticed in its ability to processes enormous amounts of data in such a short amount of time.
- Watson Studio could used improvement in its user-based community. I'd like to see more local and remote events showcasing its potential.
- Watson Studio could improve by providing its users, use-cases that leverage data in unusual ways.
- We think Watson studio could also improve by decreasing its price in order to capture new talent in the data industry.
- Watson Studio has allowed our organization leverage open data to create new streams of revenue that previously could not be tapped into.
- Watson Studio has allowed us to conduct business without the need of additional third party vendors.
- Watson Studio has allowed us to see a ROI where previously there was none.
Watson Studio was our choice in data management because its "all-in-one" packaging. Watson studio also stood out to us because it was more affordable and free for our organization to try out. We also greatly value the open source ecosystem Watson Studio has fostered.
- Data cleansing
- Data visualizing
- Data sharing
- Understanding ML feature
- Using algorithms
- Features including spark
January 26, 2018
Welcome to DSx ... DSx is welcomed by us!
We use IBM DSx in the whole company, mostly in the field of research; we address it to predictive and descriptive analysis.
- DSx is very useful for viewing data from different points of view (via Watson Analytics)
- DSx is very powerful with its Python and R ambient integrated within
- DSx is a good tool for collaborative machine learning procedures
- DSx ...
- By now we are just testing but it surely had a good impact on the time reduced for getting such powerful analysis
It is the first product we tried.
5
IT technicians that are on a path to becoming data scientists.
2
Programmers, mathematics, physics
- Predictive analysis
- Descriptive analysis
- analysis of data integrity
- with DSX we have found several new points of view on the matter that concerns our analysis: it made possible to watch our data from 2 steps backwards and that allowed us to move 4 steps forward on our comprehension of the phenomena that we were studying
- we are thinking about what we call DSX over DSX which means that, according to the results we found and to the paths that lead us to them, we are modyfing our own procedures as well and they became our new field of study: the time used for 'cleanin' data has been well spent because now we can think about their structure and remodelling the whole procedure that concerns with data itself
Not Sure
- Product Reputation
- Existing Relationship with the Vendor
Read many reviews and articles about case studies
I would try demo version of the most credited choices
- Implemented in-house
Yes
Analysis of data, import steps, normalizing data, test and development of solution
- watson analytics
- predictive analysis
- Online training
- In-person training
- Self-taught
Platform lead you step by step in acquiring the knowledge that one needs
No
At the beginning I was wondering how to parse my typemismatched data and they showed how DSX itself could help, via machine learning, in refining the procedures of business intelligence for parsing purposes
- Notebook editing with the integrated interpreter of code
- Not yet had this experience
We could find together which were the best options to be activated for our special purposes
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