I highly recommend it and I would strongly encourage is for users to explore its full potential across various use cases spanning industries like retail, finance, manufacturing, healthcare, telecommunications, and more. The versatility it offers is truly remarkable. For instance, in the financial sector, you can leverage Watson for tasks like feedback analysis and constructing a fraud detection pipeline. It facilitates interactions with real-time data to prevent credit card fraud and other illicit activities.  It is incredibly powerful but comes with a steeper learning curve to unlock its full capabilities. I would rate it nine out of ten.

I am satisfied with the overall product.

I rate the overall product an eight out of ten.

I recommend the solution to those who plan to use it.

I rate the overall tool a nine to ten out of ten.

To those evaluating the product, I would say it's a good product to use from what I know, and it's not bad. Right now, we're just really making comparisons. I rate the overall solution a seven out of ten.

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.

Watson Studio can be used in both small and enterprise companies. I would give Watson Studio a rating of nine out of ten.

I would not enforce the same standard across all organizations. It depends on the scope and the size of an organization, as well as the journey where you want to go to. As a financial institution, it is important to standardize and conform to regulations. This will depend on the organization. If it is a similar type of organization with similar challenges, then you could advocate for a similar solution. However, if it is a company in a different business, a different setup to comply to different rules may apply.

Most important criteria when selecting a vendor: It is not only about selecting a tool or specific technology. For us, it is more about searching for a partner that would go along with us on our roadmap and our journey. IBM was able to work with us on our roadmap and journey. Then, there are the tools, which are not the starting point. The tools are more about providing the actual support that we need on our journey. 

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.

I would rate it around eight or nine out of ten because sometimes I experience some unknown error.

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. 

Most important criteria when selecting a vendor: 

• Reputation 
• Being a start up, we need to have good technical support. There are big players that would not even talk with start ups.
• Two-way communication is really important, especially for something as new as this, which is why we have weekly meetings. It is helpful on both sides.

IBM Watson Studio has great features but the decision making in their decision making feature is less good than other options. If IBM Watson would improve their decision based system, then definitely IBM Watson could perform the role of an AI engine.

We're an IBM partner.

I'd recommend the solution. I'd rate it eight out of ten.