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 …
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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…
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- Interactive Data Analysis (22)10.0100%
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- Connect to Multiple 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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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
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January 28, 2023
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 teams working on projects involving all three domains in a single project. IBM Watson Studio on Cloud Pak for Data is a great asset for the data science team where we work on individual tasks, collaborate with teammates, and share findings and insights. It has all the basic tools required for visualization and modeling the algorithm. The IBM cloud Pak has numerous examples for various use cases.
- 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?
We used IBM Waston for learning and helping other fellow members learn some concepts of machine learning. We learned about IBM Waston through Coursera Specialization and then continue experimenting with IBM Cloud for some time. Whether it is using their services or storing objects in a bucket, it was an amazing experience.
- 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.
IBM Watson Studio on Cloud Pak for Data helps me bring in multiple data streams in Batch and streaming mode and helps me to run ETL processes and then run ML algorithms on top of the processed data. The beauty is I don't need to think about managing resources like CPU, storage, and processing elements and focus all my efforts on the data analytics.
- 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
Currently, I am a student and I do not have any idea how many students studying and practicing along with me are using IBM Watson Studio on Cloud Pak for Data. Mostly, this platform might be used by the students under the computer science and information technology department. I use it mostly for my projects by learning to implement several concepts, helping me build and strengthen them.
- 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
The IBM Watson Studio is mainly used for one single department, the data science team. It mainly addresses the devops overhead of heavy jupyter notebooks and provides an integrated interface for people who are not familiar with infra and storage. It also provides a point of integration with other IBM services.
- 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
Storing data in the form of Worksheets and CSV files so that multiple users can use the data partially irrespective of location.
Running and deploying ML and AI Models. It helps - no need to have local hardware. We are able to achieve all the tasks over the cloud.
Used in different parts of the organization.
Running and deploying ML and AI Models. It helps - no need to have local hardware. We are able to achieve all the tasks over the cloud.
Used in different parts of the organization.
- 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
Early review of IBM Watson
We mostly use IBM Watson Studio for its Notebook features for running Python codes. It allows us to work on the code together and generate neat reports.
- 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
Used to test prototype applications for clients. Mostly used for creating predictive data models, descriptive models, and basic ETL. There are plans to test new speech-to-text and image-to-text applications for new clients in 2021. Cloud storage is a secondary use since it is the only platform that supports older or legacy databases
- 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!
This system is currently being used with a few students on a data science degree within the School of Computing at our University. We are using IBM Watson as a means to overcome the hardware limitations we have within the our work setting. IBM Watson provides student with access to high powered machines allowing them to run complex machine learning algorithms without having to worry about hardware negatively effecting the performance of said algorithms. It is also a relatively simple system to use, making it a useful teaching tool which requires minimal support for academics. Students have provided positive feedback regarding the use of this service and we plan to expand our use of Watson Studio throughout our other degree options.
- 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
We primarily use IBM Watson Studio (formerly IBM Data Science Experience) as training for developing analytical skills in Coursera courses.
- 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
I am using IBM Watson studio for my personal interest. Since it is not involved a lot of programming, I am creating my own website with a chatbot whereas the chatbot will be answering about my research and carrier. I am using the IBM Watson Studio for analyzing the visual data.
- 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
IBM Watson studio is being used to host Juypter Notebooks. These notebooks contains analyses for various projects. The primary project being a ML algorithm that can detect fraud in PPP loans. This is specifically being used in the Engineering department at SJSU. It addresses the problem of users having the capable hardware to run the required software programs, since everything is now cloud based.
- 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
I have been using IBM Watson [Studio (formerly IBM Data Science Experience)] for the purpose of Data science course which was offered by IBM on coursera. As part of that I had come across IBM Watson . It helped a lot for learners who want to do things practically . But I felt that the interface can be made much better so that people can use it in a more flexible way . Also some times there are issues when using jupyter notebooks with python . I felt that can be improved for better user experience
- More variety of applications
- More Flexible
- Better compatibility
- User Experience
- Functionality issues with some applications
- Speed
November 25, 2020
My IBM Watson Studio experience
IBM Watson Studio [formerly IBM Data Science Experience] helps my business unit to make some business decisions concerning management of cash and keeping stocks of debit cards. Generally it help us predict the amount of cash and debit card we would be needing to meet up the demands of the customer at the time.
My organization as a whole use it to predict the profitability of Automated Teller Machines (ATM) and to find insights while there are higher traffic on some machines.
My organization as a whole use it to predict the profitability of Automated Teller Machines (ATM) and to find insights while there are higher traffic on some machines.
- 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
Currently I'm using IBM Watson as part of my Professional development via Coursera. IBM Watson to my knowledge isn't being used by my colleagues. I plan on using it to gather data and analytics to better support my customers. As an example I'm a Logistic Assistance Representative with a specialization in Tactical Radio communications thus if I can analysis the Army equipment readiness data and parts requisitioning backlogs I can better pin-point the average turn around time to assist my supported units and the respective parts managers to increase the parts availability and thus improving their readiness.
- 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 used in the form of value chain at a macro level to drive optimization value and manage unplanned upsets. It is used by my department.
- 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
Watson Studio is the first third of IBM's new Watson machine learning data pipeline. It's a powerful, reasonably intuitive, low-code environment for building machine learning models and integrating IBM's machine learning APIs (speech recognition, image recognition, etc.) into your ML pipeline. If you already consume Watson APIs, Watson Studio will help streamline current and future deployments.
- 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
We are working to leverage data analytics using an on-premises deployment to aid in predicting faults for our customers in a proactive/reactive manner. We are looking to leverage efficient and regularly trained algorithms in our Diagnostics Engine/BPMS to reduce our overall time to handle and potentially eliminate tickets opened by our customers
- 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 currently used by the data analytics department. It is used to address cost analysis and actuarial analysis.-
- 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
We have rules based applications that help airlines make real time decisions. We are to embed Watson studio to use historical data and optimize the outcomes of those decisions.
- 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
We currently use Watson Studio for NLP/NLU purposes in our client environments. It addressed problems in physical space interactions between front line associates and customers. We also leverage tonality and sentiment models in addition to transcription to effectively process large amounts of voice interactions in the physical world. Watson Studio has proven useful in addressing these problems in these environments, but we are limited in our capacity to roll it out further due to edge compute limitations with the platform.
- Speech to text
- Keyword analysis
- Tonality
- Sentiment
- Architectural support team to get up and running
February 14, 2019
Watson Studio - Data Science Platform
Watson Studio is a wonderful product. Currently, I am a SPSS Modeler user and we are looking at migrating to Watson Studio Local. Watson Studio offers a great development and deployment platform for data scientist.
- 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
We use it to create products to detect diseases from skin images so that the doctors can monitor the progress of the diseases and deliver the best therapy. It is being used by the whole organisation as we are a medical AI company and the use of AI is integral to our product.
- 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
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.
April 17, 2018
I used to swear by IBM DSX
I used to teach with Watson Studio, but not anymore. It is inconsistent in many ways it breaks and when I ask for help, no one seems to be bothered.
When I do get a response, it doesn't solve my problems. IBM needs to get it's act together or risk losing out.
When I do get a response, it doesn't solve my problems. IBM needs to get it's act together or risk losing out.
- Good UI
- Easy of use
- Incorporates both Python and R
- Could be more holistic
- Have a look at Microsoft Studio, it's well integrated
- Not very well thought out