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.
Not much, Modeler did all the things you could do just leveraging a script-language like R or Python. It even has "nodes" for those languages. I guess it's slightly easier to share assets created in this enviorn w/ non-technical folks? Review collected by and hosted on G2.com.
Modeler is a very "space-heavy" program. The client is at least several hundred megs, and it doesn't seem to run well on decently powered laptop systems. Definitely much more heavy footprint than a standard Python or R client. Review collected by and hosted on G2.com.
I think that Watson will be easier to implement. I have many difficulties in implementing the products. The IBM team has made efforts to implement this product in my company. We have great expectations for this result, basically the fraud problems are a point that we are following. Review collected by and hosted on G2.com.
The time to implementation is long and involves hard tasks. The price is still a problem, and the learning process is too lengthy, but the internal team sees it as a long journey for this implementation. The third team that implemented this product does not have the necessary knowledge for the best implementation and coaching for my company. In the next 5 years, we expect the product to grow and bring a 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.
Importing and exporting data to other formats/applications Review collected by and hosted on G2.com.
It is not free and seams not quite used by smaller companies and individuals Review collected by and hosted on G2.com.
It can be used in almost any technology. right from Lung cancer diagnosis in healthcare to recommendation, teaching assistant, weather forecasting etc. Review collected by and hosted on G2.com.
It's services are too costly. I wish the cost of the services were a less considerably. Review collected by and hosted on G2.com.
The Watson Knowledge Catalog is awesome because it can be used in just about any field of work – which is great for me to use with the diversity in my clients Review collected by and hosted on G2.com.
It’s a bit expensive and having to run all commands like having to download packages every time you open the notebook can be frustrating and time consuming Review collected by and hosted on G2.com.
Watson Studio nicely brings together all steps nand tools eeded to get started with analytics. Review collected by and hosted on G2.com.
Access to cloud object storage / data assets is counter intuitive. Deleting an asset from the data assets does not delete the actual file from storage which obfuscated the usage. Review collected by and hosted on G2.com.