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IBM Watson Studio OverviewUNIXBusinessApplication

IBM Watson Studio is #12 ranked solution in top Data Science Platforms. PeerSpot users give IBM Watson Studio an average rating of 8 out of 10. IBM Watson Studio is most commonly compared to Microsoft Azure Machine Learning Studio: IBM Watson Studio vs Microsoft Azure Machine Learning Studio. The top industry researching this solution are professionals from a comms service provider, accounting for 24% of all views.
What is IBM Watson Studio?

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

IBM Watson Studio was previously known as Watson Studio, IBM Data Science Experience, Data Science Experience, DSx.

Buyer's Guide

Download the Data Science Platforms Buyer's Guide including reviews and more. Updated: January 2022

IBM Watson Studio Customers

GroupM, Accenture, Fifth Third Bank

IBM Watson Studio Video

IBM Watson Studio Reviews

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IT Consultant - Solutions Architect with 51-200 employees
Real User
Top 10
Machine learning that can be applicable for other data sets without having to carry out the process all over again
Pros and Cons
  • "The system's ability to take a look at data, segment it and then use that data very differently."
  • "It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs."

What is our primary use case?

I'm looking at data analytics for division making. In the working environment, I'm looking at how we can use the system to give insights based on company data relating to employees. 

What is most valuable?

The most valuable feature is the system's ability to take a look at data, segment it and then use that data very differently. What I'm referring to is machine learning which can be applicable for other data sets without having to carry out the process all over again. It's a very powerful feature. In addition, the ability of the product to firstly have the solution as a cloud solution and second, the ease of use of the application. The importation of data and then shipping it for analysis is a very easy and small process.

What needs improvement?

I'm not yet familiar enough with the product to talk about improvements but one aspect that comes to mind from what I've seen is that sometimes it's easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs. It might be easy for someone to lose their way around the system. But no real complaints, so far so good. 

Previously we had what you call a multiple document interface so that whatever you do, you're still within the same container. You could look at the same kind of environment where you don't have to jump between different windows. You can split a window if you need to get to some other bit of information in the system. You leave your window, and then reference that information on the same window as opposed to jumping to another window. Otherwise, you end up with too many windows and they get cluttered. It becomes hard to navigate around.

For how long have I used the solution?

I've been using the solution for the last two months. 

What do I think about the stability of the solution?

For the couple of months I've been using the system it's been stable. I have the metrics and I have the performance parameters to show this, and I have not had any issues warranting assistance.

How are customer service and technical support?

I haven't had any experience with technical support. 

How was the initial setup?

The initial setup is very straightforward. I'm impressed. I think as soon as you get logged into the system, everything works, this is especially true with a cloud-based system. But we haven't gone commercial yet, so I'm still using the environment that has been set up by IBM itself. There may be some issues that I haven't experienced yet. 

What's my experience with pricing, setup cost, and licensing?

For now, we're using the light edition which is free but I'm sure once we decide to go commercial with it, we will pay some license for it.

What other advice do I have?

The general advice I would give is that people should think twice about the kind of results that they are seeking. This is general for any system, not only IBM products, but they should be aware of the resources that they're sitting on that is data.

Based on the brief experience I've had with the system, it works for me. It has given me the kind of results that I was looking for. It is stable. I want to believe that the support is equally good even though I've not had any experience as far as that is concerned, but I want to believe that based on the other parameters, the support will follow suit. 

I would rate this product a nine out of 10. 

Disclosure: I am a real user, and this review is based on my own experience and opinions.
Letsogile-Baloi
CEO at IMART OFFICE CONSULTANTS
Reseller
Top 5Leaderboard
Integrates consistently across your digital channel when trying to build an end-to-end digital platform
Pros and Cons
  • "IBM Watson Studio consistently automates across channels."
  • "Some of the solutions are really good solutions but they can be a little too costly for many."

What is our primary use case?

We are doing the cloud part of the IBM Watson Studio. The customer needed a marketing analytics solution. IBM Watson Studio is a very comprehensive suite of marketing solutions including AI and predictive analytics.

How has it helped my organization?

IBM Watson Studio consistently automates across channels. When you're trying to build an end-to-end digital platform, it integrates consistently across your digital channel whether you're going through emails or shopping charts. That all is integrated into your call center. You use it mostly when you want to break into your communication channels your customer interactions. That's when it's actually really good. You don't have to bring many pools together to get your solution. You can have your emails, your leave management, hotspot, or your social media. You can have analytics built into that little eco-system that IBM Watson Studio creates.

What is most valuable?

The customer was looking at doing some predictive analytics, so that was the part that we focused on. They were also looking at how they could automate simple things within the analytics themselves. For example, if you can teach the machine the algorithms to do certain things, then it can automatically do those things and extract data from that. The customer also had other IBM solutions so that played a part in why they went for IBM Watson Studio. Integration with other tools, especially for IBM products, is not a problem because IBM has an open-source platform where you can build things from. So that makes it a very good solution to have if you can afford it.

What do I think about the scalability of the solution?

For our deployment, it scaled well. IBM Watson Studio is not just one solution. It is several solutions put together. That what makes it a very strong solution. It's like having Salesforce and Google Analytics in one single solution.

How are customer service and technical support?

We didn't use the technical support from IBM. We only used the available online documentation. But it was sufficient for our purposes.

How was the initial setup?

Since we only worked with IBM Watson Studio once it was difficult because we were new to it.  

What about the implementation team?

We are system integrators. We do not consume our deployment of IT. We deploy it for others. We have deep pockets of experience to be able to work with this kind of solution. The documentation was good. It really helped us.

What's my experience with pricing, setup cost, and licensing?

It will come down again to cost. Some of the solutions are really good solutions but they can be a little too costly for many. I think a lot of software vendors have considered having special pricing for African countries. After the deployment in Johannesburg, I tried to pitch it to a local Telco because I felt they needed it. They couldn't do it based on the pricing. They felt the price is just too high.

What other advice do I have?

The advice that I would give is to have your general design structured properly. That's how you can get the best out of it. Because the objectives would be really clear to everyone. You can know which ones to bring onboard. Then if you are deploying it a system integrator, you have to understand the customer's journey as a whole. This means that you have to have insights on the different channels that customer is using. 

I rate the IBM Watson Studio at a nine out of ten.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: My company has a business relationship with this vendor other than being a customer: Reseller.
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Amitabha Chakraborty
Solutions Architect, BI & Analytics at a retailer with 5,001-10,000 employees
Real User
Top 10
Good technical support and the page search functionality provides valuable insight into competition
Pros and Cons
  • "It has a lot of data connectors, which is extremely helpful."
  • "The initial setup was complex."

What is our primary use case?

My primary use is to create a forecasting model for sales. I am doing automation from a supply chain point of view.

What is most valuable?

The most valuable feature is the page search, where I can have it visit my competitor's website and search through all of their promotions and offerings.

The SPSS Modeler components are all built-in, which is useful.

The notebooks are really helpful for data science.

It has a lot of data connectors, which is extremely helpful.

What needs improvement?

The initial setup was complex.

For how long have I used the solution?

I have been using Watson Studio for about six months. It is currently still in the PoC phase.

What do I think about the scalability of the solution?

We have only implemented the PoC and not on a full-scale production basis, so we have not yet encountered issues with scalability.

How are customer service and technical support?

We have been in contact with technical support a few times and they are really good. They are very prompt, unlike the case a year or two ago when they were not very responsive. The fact that the support is fast is something that I really like.

Which solution did I use previously and why did I switch?

We did not use another data science platform before this one.

How was the initial setup?

The initial setup was very complex, although it was not due to the product but rather, the complexity of the business.

Which other solutions did I evaluate?

We are currently evaluating two other products. One of them is from Oracle and the other is from JDA.

What other advice do I have?

My advice to anybody who is considering this solution is that it is really good for an enterprise-level organization. It is not really suitable for a small or medium-sized business.

I would rate this solution an eight out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.