It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements. The usability of Watson Studio, including the creation of notebooks and seamless data integration, is remarkably user-friendly and straightforward. It essentially provides an all-in-one enterprise tool that offers a comprehensive perspective on data modeling, tracking, and processing.

With the solution, it is easy to create a machine-learning model. The solution's UI is helpful since we had to work on Microsoft Excel or a CSV file earlier.

For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks. Also, I think the data scientists used it to train their models. I am not the biggest user of it.

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.

We are looking for ways to automate even more. So, we are trying to avoid any manual effort currently necessary. With the whole machine learning part currently at the top of the market, we are trying to see how we can improve in the automation part. 

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.

The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video. 

It's professional.

AI is an important part of Watson Studio.

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.

Every feature is good in Watson Studio.

The computer version was very helpful. It returns approximately five clusters of the projected features.

The solution is very easy to use.