The best thing about IBM Watson Studio is the Quicker installation of a massive complex setup in a couple of hours. This provides great UI for developing the Machine learning models for business users as well, no need to know the technology in details. Review collected by and hosted on G2.com.

What I don't like about IBM Watson is the data Acquisition phase from other sources, like real-time data collection is challenging in IBM Watson, may be that feature is critical and needed. Review collected by and hosted on G2.com.

It has excellent NLP capabilities for Bot Building.

The bot building process is simple, and conversions are more engaging.

The team behind the tool is more active and giving more good features.

Bot performance is excellent.

Better API reference and good documentation. Review collected by and hosted on G2.com.

It is taking more time to load in IBM Cloud.

Dialogues take more time to get active.

More features need to use AI capabilities. Review collected by and hosted on G2.com.

Easy to share with the team and also love Github fast integrations Review collected by and hosted on G2.com.

Sometimes loading takes too much time, complex to understand for beginners Review collected by and hosted on G2.com.

Variety of tools, and they were pretty useful. I could get my IBM Data Science professional certificate. Now I am taking a Micromaster in Statistics and Data Science offered by MIT. Which is comprised of four online courses and a virtually proctored exam that will provide me with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. In some months I will be able to develop and build machine learning algorithms to extract meaningful information from seemingly unstructured data; learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks Review collected by and hosted on G2.com.

Nothing. Because everythings worked well. I strongly believe it's an amazing tool for everyone interested in learning about Artificial Intelligence and Data Science Review collected by and hosted on G2.com.

Watson has a high value and compares very favorably in price against other offerings from Amazon, Microsoft, and Google. Review collected by and hosted on G2.com.

API has a few rough edges and requires a bit of work to get started. Review collected by and hosted on G2.com.

The services available on the platform are all incredible and I personally used and loved the chatbot service and text to speech service Review collected by and hosted on G2.com.

I haven't countered any issue that i dislike about watson. Review collected by and hosted on G2.com.

The interface and simple usability, inbuilt models Review collected by and hosted on G2.com.

Its usage only to IBM, not much is heard or learned about it in other companies. The reach should be good Review collected by and hosted on G2.com.

It's helped me in created projects with Jupiter notebook then face regonisation projects easily lots of tools are avilable . It's allows to compare models to provide the best solution..It's powerful machine learning and data science platform to develop complex data models. Review collected by and hosted on G2.com.

Nothing I have disliked I liked everthing in the Watson environment Review collected by and hosted on G2.com.

Great tools and its very easy to integrate. Very user-friendly. Review collected by and hosted on G2.com.

takes long sometimes to do testing. Would be great if it can be improved Review collected by and hosted on G2.com.

Every data scientist has many tools in his/her notebook - and this is great for research and exploration. But when it comes to real world projects you need to simplify and integrate it. This is the best thing I found in Watson Studio - a simplified and integrated workbench for doing productive data science projects. Review collected by and hosted on G2.com.

When you have your own tools, you have much more flexibility, specially for research and exploration. So, if you are a very experienced data scientist, you will find some limitations in an integrated environment. Review collected by and hosted on G2.com.