IBM Watson Studio Reviews & Product Details - Page 5

a) Advanced UI and features conversational analysts working within the tool.

b) The dexterity to train contextual elements within an intention, to manage obscure cases of a trained entity.

c) Comprehensive documentation on the topic with details offered regarding all the aspects of the application.

d) Capability of managing giant datasets. Review collected by and hosted on G2.com.

a) The features offered in the application under the Premium only feature set should have been readily available as a part of the tool.

b) The tool is overpriced and smaller organizations dreaming about the tool simply cannot afford to use such tool. Review collected by and hosted on G2.com.

Data Integration

Artificial Intelligence and Machine Learning Platform Review collected by and hosted on G2.com.

Too many maintenance so shutdown

Response time to answer a ticket a bit high Review collected by and hosted on G2.com.

One of the characteristics that differentiate Watson Studio is the open platform, intuitive interface, and flexibility. I had a team of college data scientist interns and they were using Watson Studio on the first day! The support and access to the IBM brain trust was nothing short than outstanding! And beyond that, the same level of support was provided for the long term. Review collected by and hosted on G2.com.

Perhaps due to the timing, there is an incredible amount of dynamics and evolution around some of the modules. The net effect is something that the team built or planned on the roadmap had to be adjusted more often than we would have liked. Not a very big issue to adjust though. Review collected by and hosted on G2.com.

Gives our data scientists the flexibility to explore open source packages while also helping facilitate the containerization step that some of our folks stuggle to understand. Provides the ability to enforce a standard framework to projects and algorithms and standards around deployment. ALso like the support that we have recieved from the development team. Review collected by and hosted on G2.com.

Need more support to manage multi-tenancy on the platform. Managing resources is going to be very important as we try to standardize the tool across data science groups while at the same time ensuring that teams remain productive and arent competing for their share of resources. Review collected by and hosted on G2.com.

We develop the Real-Time Indoor Air Quality Monitoring System solution leveraging Watson Machine Learning with Watson Internet of Thing to prevent air pollution and improve health conditions. The Watson Machine Learning help us alot:

- SPSS Integration

- Build in jupyter notebook - IDE for python

- Easy to handle big and multiple data sets Review collected by and hosted on G2.com.

- Slow load times and training times

- Unstable training process, sometimes it's crash and restarts the training process from the beginning and waste ton of time.

- High switching costs Review collected by and hosted on G2.com.

The dictionaries and language processing features are the best. For example, my company have a great database with post graduate schools in Brazil and their alternative names. Watson can group these names and alias in a same entity, and classify them correctly when processing data in unstructured text. Review collected by and hosted on G2.com.

I must say, i had to have a lot of help from a IBM support to get there - to get where I am with my model. Review collected by and hosted on G2.com.

What I like the most is in terms of optimizing the company's logistics systems and processes, which, in the same way, affect the customer experience and favor an improvement in the organization of production processes that, thanks to the Machine Learning, have a solid database with which to justify decision making. Review collected by and hosted on G2.com.

What I do not like is in terms of machine learning is precisely that those features that are subject to statistical analysis must be previously specified by the programmer manually.

Obviously, this supposes a clear restriction to the learning capacity of the machine and generates a greater incidence of human errors during the programming process Review collected by and hosted on G2.com.

I think that watson will be more easy to implementation. I have very difficults for implement the products. The IBM tem have made efforts to implement this product in my company. We have great expectative in this result, bascically the fraud problems is a point that we are following. Review collected by and hosted on G2.com.

time to implementartion is long and hard tasks. The price still is problem and the learning is too long, but the the inside tem is a long journey for this implementation. The third team that implementation this product don't have knowling necessary for the best implementation and coaching for my company. In the next 5 years, we are expectative the product raise and bring new vision about the customers and clients. Review collected by and hosted on G2.com.

The user interface follows well established paradigms so for the experienced developer its easy to navigate. It takes only one demo to get started and the cost of mistakes in config are acceptably low. Review collected by and hosted on G2.com.

The application model feels rigid and 1990's. The developer and services model abstracts too much of the power of the tools. An active simulation is the only way to train users to think creatively as they work Review collected by and hosted on G2.com.

IBM Watson Studio expedites the process of developing and deploying data science and machine learning projects in significantly less time by providing best practices adherence and smooth transition from POC to deployment. Review collected by and hosted on G2.com.

Some of the Watson Studio processes and procedures are too restrictive or unclear, such as model selection and estimators for machine learning. Review collected by and hosted on G2.com.