1. Home
  2. AI Chatbot Software
  3. IBM watsonx Assistant Reviews
  4. User Review of IBM watsonx Assistant
IBM WATSON- Machine Learning at Your Fingertips
December 14, 2021

IBM WATSON- Machine Learning at Your Fingertips

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Watson Assistant

1-It has helped me learn a lot about machine learning and implementing a lot of projects. 2-It has a Jupyter Notebook feel but with [the] added advantage that all the libraries are pre-installed so no need to scratch our head installing those libraries. 3-As a key offering of IBM Cloud Pak for Data, a unified data and AI platform, Watson Studio integrates seamlessly with data management services, data privacy and security capabilities, AI application tooling, open-source frameworks, and a robust technology ecosystem. 4-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 detail.
  • The bot building process is simple, and conversions are more engaging.
  • [The] bot performance is excellent.
  • Easy to share with the team and also love Github fast integrations.
  • Continuous Learning: Teach Watson with embedded AI services, including Watson Visual Recognition, and convert custom models to CoreML.
  • Complex to understand for beginners
  • API has a few rough edges and requires a bit of work to get started
  • Its usage only to IBM, not much is heard or learned about it in other companies. The reach should be good.
  • Watson is a great platform for data science development with built-in images, environments, packages, etc.
  • It has drive innovation.
  • It has enhanced decision making.
1-It has the ability to quickly spin up various images/environments is a huge plus. Also, the ability to store notebooks and scripts together is nice. 2-IBM Watson Studio is a really useful machine learning platform that helps us in the efficient creation and management of machine learning models that are developed in my team. It helps us in ranking various versions of the model based on accuracy and precision. 3-IBM Watson Studio helps in expediting the process of developing and deploying data science and ML projects in significantly less time. 4-IBM Watson Studio is our choice for clients where we need hybrid environments - enough UI for non-data scientists to be able to get some work done, but hardcore tech available for the most complex, custom projects.
It helped us [build] powerful AI [products] for your business needs, and easy to learn if you have knowledge about other programming languages, The integration between saas and IBM Cloud is easy. 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 [them]. This is the best thing I found in Watson Studio - a simplified and integrated workbench for doing productive data science projects. I could try the AI applications like image classification and object detection right away on [the] IBM Watson Machine Learning platform. That was a great end-to-end hands-on experience.
The UI is very clean which makes it easier to understand the product. Also, there are loads of documentation to learn more about how to use this tool for AI. When I was using Watson Studio, it was fairly well-integrated w/ Watson Cloud, allowing one to spin up infrastructure to connect to your analytics assets built with Watson Studio. This was good. I liked [the] very useful examples and algorithms and Data provided. [It was] easy to get started.

Do you think IBM watsonx Assistant delivers good value for the price?

Yes

Are you happy with IBM watsonx Assistant's feature set?

Yes

Did IBM watsonx Assistant live up to sales and marketing promises?

Yes

Did implementation of IBM watsonx Assistant go as expected?

Yes

Would you buy IBM watsonx Assistant again?

Yes

Amazon Lex, Azure Bot Service (Microsoft Bot Framework), Mindsay, ManyChat
1-It's helped me in [creating] projects with Jupiter notebook, then face [recognition] projects easily, lots of tools are available. It allows [the comparing of] models to provide the best solution...It's powerful machine learning and data science platform to develop complex data models. 2-Quick and easy deployment capability for machine learning and data science solutions. APIs [are] helpful in image and speech recognition, insights, text identification, etc. Estimator validation is very helpful in testing models. 3-It allows different data scientists, data analysts, and business analysts to work in collaboration.