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%
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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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- Premium Consulting/Integration Services
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Product Details
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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 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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Reviews and Ratings
(221)Attribute Ratings
Reviews
(1-25 of 65)Companies can't remove reviews or game the system. Here's why
January 28, 2023
Good for large teams with large data reiterating on their data projects in various steps.
- The R studio which is very flexible more than any IDE.
- Testing and developing the model locally before finally publishing.
- Collaborating with teammates on same data.
- Watson Studio is a little complex for beginners to get started. Paid courses explain them well to beginners.
- Many features that small teams might not use.
May 10, 2021
Why Use IBM Waston Studio?
- IBM Watson Services like speech to text, etc. are just some clicks away. You just need to specify some basic details like location etc and the resource will be ready for use.
- IBM DB2 engine is a fully managed relational database for all your needs.
- There are a lot of services available from which users can choose what suits his/her needs.
- In starting, I found navigating through different services a bit difficult and overwhelming.
- IBM dashboard should be redesigned to make it simple.
- Rest all looks good.
- Data ingestion
- ETL processes
- Integration with Python notebooks for ML algorithms
- Support to run SQL queries on Cloud
- Support for streaming data
- Streaming data support
- Connecting with existing Hadoop systems
- Data visualization on top of the data
April 05, 2021
IBM Watson Studio on Cloud Pak for Data for students
- Data security
- Choice of the amount of computation power
- Providing an option for sharing the files while hiding the sensitive content present in them
- Checking if it is under use or not because for free users who cannot afford to pay, it is hard to manage the amount of computation periods provided
- When there is nothing to execute, the run time should be paused to prevent wasting resources
- Please try to provide the lite pack with a few more resources to help those who cannot afford to pay
March 30, 2021
IBM Watson Studio on Cloud Pak for Data Review
- Sharing with team
- GitHub integration
- Free pricing plan if you want to try things out
- Loading times can be slow
- Tabs can be hard to navigate
- not enough out of box examples
February 08, 2021
IBM Watson Studio on Cloud Pak for Data Review
- Deployment of ML Models.
- Use of sharable data.
- Multiple users can be added to a project.
- UI difficult.
- Use of Microsoft tools like Visio for flow.
- In built Excel editor.
February 04, 2021
Review of IBM services
- Data Visualization - IBM Cognos.
- Jupyter notebooks- Python Coding.
- Speech to text recognition.
- AI Bot can be better for IBM Cognos.
February 04, 2021
Early review of IBM Watson
- Easy to share
- Looks good
- Kind of slow to launch
- Not industry standard
- Too many tabs to navigate through
January 13, 2021
Auto AI is a must have for every Data Analyst
- Auto AI makes creating predictive models so much easier and faster. It creates several models and ranks them according to precision (or accuracy) allowing us to rapidly select the most optimized model. While the models are not perfect at the first run, it gives us an idea on which models to focus on cutting the turnaround times from 3 days to less than 4 hours.
- The cloud structure allows us to reuse datasets that are in different projects. This cuts down the need to create new pipelines or ETL steps.
- Auto AI allows us to select the best models to use when creating predictive models. The app ranks and lists down the models according to accuracy (or precision0. This alone is worth the subscription as it cut down our turnaround times from 3 days to 1 day.
January 04, 2021
Great services for fast and effecient data analytics!
- Clear distinction between services provided.
- Jack of all trades without being a master of none.
- Complex processing without an major latency.
- Some aspects of the UI can be overwhelming for a novice user.
- Integration with some non-Watson Studio services is limited.
January 02, 2021
Experienced Analysis with IBM Watson
- The platform offers the ability to integrate with other platforms.
- The interface is intuitive and easy to use.
- The interface allows you to use different tools as needed like Jupyter notebooks and DB2.
- It can be difficult to navigate at times.
- The platform does not offer as much educational material as I would like.
December 18, 2020
Data scientist - as a beginner
- No programming skills.
- Well structured.
- Proper instructions.
- Takes time to integrate Watson.
- High switching costs.
- IBM Watson studio desktop.
December 01, 2020
Beginner Guide Review
- Usability - The Cloud Object Storage is fairly easy to implement with a Juypter Notebook
- Design - After some initial learning curve, it becomes easy to navigate through the site.
- Features - IBM is adding more and more features to their existing architecture.
- Layout - There is a learning curve learning how to navigate the site, it's not as straightforward at it may seem.
- Documentation - There is not that much good documentation available about how to setup various Watson Studio projects (configurations, etc.). Third-party resources provide a set of documentation and guides.
- Bugs - There are some small bugs when using Watson Studio. One issue is when inviting collaborators to a project, depending on which computer you are using and what OS you have as well as your screen size, the invite button is "hidden". The invite button can only be noticed when zooming out far enough.
November 25, 2020
Review on IBM Watson
- More variety of applications
- More Flexible
- Better compatibility
- User Experience
- Functionality issues with some applications
- Speed
November 25, 2020
My IBM Watson Studio experience
- Helps to predict profitability of terminals at any of our locations
- Helps to predict peak and off-peak periods, hence, it aids preparation
- Help us to plan and improve on cash management efficiency by relying of past data
- IBM Watson studio needs to improve on its mobile experience
- A help chatbot would go a long way to guide users
November 24, 2020
My first experience on Watson Studios
- Helpful get started tutorial videos in Watson Studios.
- Lots of notebooks to choose from.
- Github push is a great way to share and collaborate with others.
- I'd like to have more CHU's on the lite version.
- When using Python environment it would be great when I make an error coding that corrective suggestions would be available.
- Being very new it's a learning curve maybe a I'm new to coding tutorial class would help.
November 04, 2019
Watson Studio Review
- It is very user friendly.
- Secure and can have federation security.
- Very quick and high-resolution visual graphics.
- Advanced modeling techniques.
- It should have the capability to utilize thermodynamic models and extract key values.
February 25, 2019
IBM Watson Studio: Ideal for Rapid Data Science and ML POCs and Deployments with Watson
- Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
- SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
- Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
- Estimator validation lets data scientists test and prove different models.
- Watson Studio's UI is not always intuitive, especially when it comes to requirements and specific settings.
- Documentation is not strong; tutorials and walkthroughs are noticeably light.
- Tight integration with IBM APIs also means less well-made integrations to third party data sources and APIs—MySQL support notably absent.
February 22, 2019
Analytics for the Masses
- Ease of use and quick to explore
- Guided experiences and ability to leverage multiple algorithms to identify the best one
- Great support and sales teams
- There isn’t much I think I can provide critical or improvement feedback on
February 15, 2019
IBM Watson studios , our first steps
- It is relatively easy to use
- It works seamlessly with multiple languages.
- Its administration is surprisingly easy
- And it's easy to install / upgrade / maintain
- Need better training materials for data scientists. Especially the ones who are not formally educated as data scientists.
- The videos in the tutorials are all on Youtube which are usually blocked on most work campuses.
- And the IBM Think campus training could have been better as well
February 15, 2019
Great first impression and lot of opportunities with Watson studio
- Intuitive GUI for us to begin using the studio
- It works well that we can embed the decisions into our existing offering without a lot of changes
- The pricing model is flexible
- Like the opportunity to embed more data
- Provide hint to use services based on verticals
- Suggest how it could be embedded into mobile apps
- Would like to understand the deployment model better
February 14, 2019
Watson Studio review
- Speech to text
- Keyword analysis
- Tonality
- Sentiment
- Architectural support team to get up and running
February 14, 2019
Watson Studio - Data Science Platform
- Flexibility in the use of different data science development environment, e.g. R, Python and SPSS modeler
- Deployment capability in miroservices
- Nothing at the moment
February 14, 2019
Watson Studio makes product development easy
- It is easy to use and I don't need to have a team full of data scientists to use them
- It is easy to deploy when the models are trained and we don't need to hire many software engineers to take care of deployment
- It allows us to test different models rapidly and so helps to accelerate the product development process
- The cost is steep and so only companies with resources can afford it
- It will be nice to have Chinese versions so that Chinese engineers can also use it easily
- It takes a while to learn how to input different kinds of skin defects for detection
May 08, 2018
Watson vs. DATA
- 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.