Why Use IBM Waston Studio?
May 10, 2021
We used IBM Waston for learning and helping other fellow members learn some concepts of machine learning. We learned about IBM Waston …
IBM Watson Studio
IBM Watson Studio on Cloud Pak for Data
Overview
Recent Reviews
Reviewer Sentiment
N/A
Positive ()
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Negative ()
Awards
Popular Features
View all 16 featuresInteractive Data Analysis (21)
7.7
77%
Visualization (21)
7.7
77%
Connect to Multiple Data Sources (21)
7.7
77%
Extend Existing Data Sources (21)
7.4
74%
Video Reviews
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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…
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
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Alternatives Pricing
What is Anaconda?
Anaconda is an open source Python distribution / data discovery & analytics platform.
What is Azure Machine Learning?
Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.
Features Scorecard
Platform Connectivity
7.2
72%
Data Exploration
7.7
77%
Data Preparation
7.6
76%
Platform Data Modeling
7.5
75%
Model Deployment
6.8
68%
Product Details
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 |
Comparisons
View all alternatives
Frequently Asked Questions
What are IBM Watson Studio's top competitors?
Amazon SageMaker and Azure Machine Learning are common alternatives for IBM Watson Studio.
What is IBM Watson Studio's best feature?
Reviewers rate Built-in Processors highest, with a score of 7.9.
Who uses IBM Watson Studio?
The most common users of IBM Watson Studio are from Enterprises (1,001+ employees) and the Information Technology & Services industry.
Reviews and Ratings
(218)
Reviews
(1-25 of 61)- Popular Filters
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May 10, 2021
Why Use IBM Waston Studio?
- IBM Waston is a lot time saving.
- Machine learning services and resources have great accuracy.
- Documentation is really good.
- Cheaper storage
- Faster data processing
- Faster data analysis
April 05, 2021
IBM Watson Studio on Cloud Pak for Data for students
- I am a student and it has helped me learn a lot of concepts
- It helped testing several features differently
- It helps to think in a professional manner
March 30, 2021
IBM Watson Studio on Cloud Pak for Data Review
- Made running experiments more streamlined
- Reduced devops overhead
- Sometimes does mean integration with things that are not on IBM harder
February 08, 2021
IBM Watson Studio on Cloud Pak for Data Review
- Data analysis.
- Data cleaning.
- Data visualization.
February 04, 2021
Review of IBM services
- Positive impact because learners in our company like it.
February 04, 2021
Early review of IBM Watson
- No tangible ROI yet
January 13, 2021
Auto AI is a must have for every Data Analyst
- Positive: reduce our turnaround times were reduced from 3 days to 1 day. This allows us to create more models and service more clients.
January 04, 2021
Great services for fast and effecient data analytics!
- It has helped streamline our Data Science courses and provided students with an alternative to needing to have a high end machine at home.
- It has been especially useful for maintaining our quality of service objectives during Covid as we have maintained and met expectations by using IBM Watson Studio as a key replacement service.
January 02, 2021
Experienced Analysis with IBM Watson
- IBM Watson Studio (formerly IBM Data Science Experience) has allowed our team to develop skills by offering a platform that allows varying analysis techniques.
December 18, 2020
Data scientist - as a beginner
- Ease of deployment.
- The cost of ownership is high for a personal use.
- It's very convenient for quick hit applications.
December 01, 2020
Beginner Guide Review
- Positive - Allowed a quick and thorough analyzes to be completed on PPP loan data.
- Positive - For this price tier, it was well worth the price as the ROI was greater than the cost.
- Negative - The cost for the next tier is a bit pricey, it should only be selected by those departments and projects that absolutely require those services.
November 25, 2020
My IBM Watson Studio experience
- We just recently adopted the use of IBM Watson Studio. It would take Q1 2021 figure to ascertain its impact on our bottom-line.
November 24, 2020
My first experience on Watson Studios
- Well I'm just starting thus I can't provide any input yet.
- I would imagine it could provide a positive impact if I data mined and properly presented that visual tool to my stakeholders.
- Negative impact is yet to be determined.
November 04, 2019
Watson Studio Review
- It is a pilot we are trying and we've seen small ROI.
February 25, 2019
IBM Watson Studio: Ideal for Rapid Data Science and ML POCs and Deployments with Watson
- As a reseller, selling Watson Studio as a machine learning platform package is relatively straightforward.
- Buyers and partners know, appreciate, and trust the IBM brand.
- Watson Studio models obey best practices, which means they are less subject to human error.
February 22, 2019
Analytics for the Masses
- I think WS is going to allow more casual BA personnel to provide advanced insights/api’s to the business without the requirement of dedicated traditional data scientist skills with strong statistical/modeling background
- I love the approach to bring Analytics to the masses.
February 15, 2019
IBM Watson studios , our first steps
- We are hoping that our current analytics team's analysis process timing improves.
- We hope to understand our member better
- We hope to use this to add more services to our clients
February 15, 2019
Great first impression and lot of opportunities with Watson studio
- Could instantly show data driven insights to drive 20% incremental revenue over existing results
- Still don't have a real use case for unstructured data like twitter feed
- Some of the insights around user actions have driven new projects to automate mundane tasks
February 14, 2019
Watson Studio review
- Very difficult to tie Watson to ROI in our environment. Negative experience.
February 14, 2019
Watson Studio - Data Science Platform
- Unified platform
- Ease of deployment
February 14, 2019
Watson Studio makes product development easy
- It allows rapid product development so that we're able to test concepts and ideas quickly
- The cost of ownership is high for a small company like ours, and so we talked to a lot of alternatives before deciding
- I can use software engineers who are not data scientists to develop applications, and this saves some money
May 08, 2018
Watson vs. DATA
- 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.
April 17, 2018
I used to swear by IBM DSX
- No coding data science for my students
- Good alternative platform to MS studio ML
- Good beginner's first contact with data science
April 16, 2018
Great resource for learning
- It certainly helps us as a consultancy and IBM reseller to increase sales revenues (>$200K last year)
- It has helped customers evaluate IBM technologies and compare them against alternatives in a cost effective and time efficient way
- It has helped customers implement completely new types of analytic applications and deployments that were not possible for them to perform previously