IBM Watson Machine Learning OverviewUNIXBusinessApplication

IBM Watson Machine Learning is the #5 ranked solution in top AI Development Platforms. PeerSpot users give IBM Watson Machine Learning an average rating of 7.6 out of 10. IBM Watson Machine Learning is most commonly compared to TensorFlow: IBM Watson Machine Learning vs TensorFlow. IBM Watson Machine Learning is popular among the large enterprise segment, accounting for 44% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 28% of all views.
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What is IBM Watson Machine Learning?

IBM Watson Machine Learning helps data scientists and developers accelerate AI and machine-learning deployment. With its open, extensible model operation, Watson Machine Learning helps businesses simplify and harness AI at scale across any cloud.

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IBM Watson Machine Learning Pricing Advice

What users are saying about IBM Watson Machine Learning pricing:
"The pricing model is good."

IBM Watson Machine Learning Reviews

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Research Director, Network Security at a tech services company with 10,001+ employees
Real User
Top 10
Good automation capabilities and saves companies money but there's not real market comparison to tests accuracy
Pros and Cons
  • "The most valuable aspect of the solution's the cost and human labor savings."
  • "Honestly, I haven't seen any comparative report that has run the same data through two different artificial intelligence or machine learning capabilities to get something out of it. I would love to see that."

What is our primary use case?

Most of the use cases have been around taking in a lot of human-created data by providers. For example, electronic medical records including the notes, the information, and the clinical aspect of care. What they're typically trying to do is adjust a lot of that type of information. 

Sometimes there is member feedback or member sentiment that's captured. The idea is to try to quickly assess and analyze that information and then prioritize it. The goal is to put the data in buckets for particular use around quality improvement and around identifying risks earlier, and things of that nature.

How has it helped my organization?

The solution has allowed us to remove a lot of manual labor and cut costs around getting people to perform certain tasks.

What is most valuable?

The most valuable aspect of the solution's the cost and human labor savings. 

The ability to automate a lot of the work helps save organizations time and money. It also accelerates the whole digitization process. It's tremendously valuable.

What needs improvement?

I haven't dealt with the solution as significantly in the last probably two or three years. That said, my last deeper dive into that was around the need for the product within the organization. I'm sure it's gotten better and better as the program has gotten better, however, early on, they relied heavily on building out these massive reference tables. That was a ton of the work that had to be done

Honestly, I haven't seen any comparative report that has run the same data through two different artificial intelligence or machine learning capabilities to get something out of it. I would love to see that.

The top three industries should go head to head to feed the same data and then get evaluated for accuracy. Something like that would be tremendously interesting. I don't know if something like that exists.

Buyer's Guide
AI Development Platforms
November 2022
Find out what your peers are saying about IBM, TensorFlow, Google and others in AI Development Platforms. Updated: November 2022.
655,465 professionals have used our research since 2012.

For how long have I used the solution?

I have a long history with the solution. I've used it for 15 years - well before IBM purchased it and changed the name.

What do I think about the stability of the solution?

I would have to assume it's getting better due to the fact that it's being more widely adopted. More companies are paying the vendors to use it. I would have to assume it's gotten better. 

What do I think about the scalability of the solution?

My understanding of the solution is that it is very scalable. If a company needs to expand it, they can do so easily.

How are customer service and support?

I have never dealt with technical support. I can't speak to their level of responsiveness or knowledgeability at this time.

How was the initial setup?

It's been many, many years since the implementation of the product. 

I don't remember it being a complex operation. What I remember was that they were trying to do it kind of as a SaaS solution where they used open connections and set up APIs and pushed data through a cloud-based model. As long as the sender had the ability to communicate in that way, it was pretty simple.

There are other healthcare companies, both on the payer and provider side that are still not there from a technology perspective. So they had to send batch files and lots of things like that. They couldn't use electronic CCDs for clinical records. Due to this, there was a limitation. It may be more complicated when the sender can't match the technology that the receiver would be looking for them to utilize in terms of delivery.

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

I can't recall the exact pricing. It's my understanding that the gist of the pricing was based on the volume of work. I don't remember any real detail on the pricing. I can't really say if it more expensive than other options or not.

What other advice do I have?

I'm not a consultant or a reseller. I've only dealt with this solution in the past as a user, for the most part.

When done right, this automation can be very helpful. There are companies that were pioneers in this space. For example,  Autonomy, which was purchased by Hewlett Packard. However, in that case, it was an epic failure. They've been in a lawsuit for the last decade.

I've been more focused on other parts of healthcare information. So honestly I'd say in the last probably two, two and a half years, I haven't really dug into the analytic capability.

I would advise other organizations to proceed with caution and do a lot of homework and maybe pilot the solution before diving in.

Overall, I would rate the solution at a seven out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
CX Team Lead
Real User
A powerful tool that helps us predict our customer activity
Pros and Cons
  • "It has improved self-service and customer satisfaction."
  • "The supporting language is limited."

What is our primary use case?

We use this solution to understand the intent of our customers when they ask for products. As a result, we can understand user sentiments and predict what they are trying to achieve.

How has it helped my organization?

It has been beneficial to our customers. The success rate is good, and it reduces a lot of direct agent interactions allowing us to resolve many inquiries by self-service.

What needs improvement?

The supporting language is limited, and other languages could be added. In addition, because it is on cloud, we cannot have any sensitive information because of regulations by the central banks and the government cybersecurity-related issues. We do not use any transactional details, just manually driven ones.

For how long have I used the solution?

We have been using this solution for almost one year, and it is deployed on public cloud. We use OpenShift as our provider.

What do I think about the stability of the solution?

It is pretty stable. There are no complaints of downtime, and if there are issues, they alert us before the system can go down. We have roughly eight million customers, so about 5,000 active users per day. We do not need to maintain and just need one staff to do configurations.

What do I think about the scalability of the solution?

It is scalable because it is purely a cloud-based solution, so we can bend and decrease the capacity as much as we want.

How are customer service and support?

Their technical support is amazing, and I rate them an eight out of ten.

How would you rate customer service and support?

Positive

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

We have used Whatsapp Chatbots, and we liked it because it is on-premises, and we had more control. However, the implementation is hard, and you need the expertise to use it. You also need to have Python and programming tools to implement it.

How was the initial setup?

The initial setup was straightforward, and the configuration was not complex. The only limitations are the licenses and the capacity. It is cloud-based, so all of the new features are available. Our deployment was done in-house.

What was our ROI?

We have seen an ROI. It has improved self-service and customer satisfaction.

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

I rate the pricing an eight out of ten, with one being the least expensive and ten being the most expensive. They are no hidden or extra costs, and you can get a bundle based on your usage.

What other advice do I have?

I rate this solution an eight out of ten. Regarding advice, it is a very powerful tool if utilized correctly.

Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
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PeerSpot user
Buyer's Guide
AI Development Platforms
November 2022
Find out what your peers are saying about IBM, TensorFlow, Google and others in AI Development Platforms. Updated: November 2022.
655,465 professionals have used our research since 2012.
Software Engineer at a computer software company with 10,001+ employees
Real User
Top 10
Feature-rich, good image classification capabilities, and support from IBM is good
Pros and Cons
  • "It is has a lot of good features and we find the image classification very useful."
  • "They should add more GPU processing power to improve performance, especially when dealing with large amounts of data."

What is our primary use case?

We are using this product to do some R&D work. 

How has it helped my organization?

Using this product for R&D has helped with our understanding of how machine learning will help us. For example, we are working on image processing for patient recognition.

What is most valuable?

I like the whole concept of using Watson.

It is has a lot of good features and we find the image classification very useful.

What needs improvement?

They should add more GPU processing power to improve performance, especially when dealing with large amounts of data.

For how long have I used the solution?

We have been using IBM Watson Machine Learning for less than six months. It's very new for us.

What do I think about the stability of the solution?

Stability-wise, my experience so far has been good.

What do I think about the scalability of the solution?

Although Watson is scalable, the performance degrades the more it is scaled.

We have a team of 30 people who are working on it. At this point, we have no plans to increase our usage.

How are customer service and technical support?

The technical support from IBM is good.

How was the initial setup?

The installation and initial setup are easy.

What about the implementation team?

My team handled the deployment.

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

The pricing model is good.

We are not using the licensed version; rather, we are just using a trial account.

Which other solutions did I evaluate?

As a developer, I have not personally evaluated other options. One of the other teams does the product research for bringing solutions into the company.

What other advice do I have?

This is a product that I definitely recommend.

I would rate this solution an eight out of ten.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

IBM
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user