Review for IBM Watson Assistant
March 08, 2022

Review for IBM Watson Assistant

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Watson Assistant

I have been using IBM Watson Assistant for years. IBM Watson Assistant is very useful to the production of machine learning models that we build in IBM Watson Studio. It's used for maintaining cost management, driving revenue growth, and enhancing business process outcomes as well as business process agility. Our experience with IBM Watson Assistant has been very awesome.
  • Improves business process agility
  • Drives innovation
  • Enhances decision making
  • Provides a strong user community
  • Implementation could be less complex
  • Data visualization could be more interactive
  • Better ease of integration with other products
  • Data visualization and data analytics have become better
  • Cost management has become easier
  • Business process outcomes have improved
After building a model and saving it you can actually see all of the available information in the "Model" feature. Its features make it very effective to drive revenue growth, business process agility, and innovation. Also, IBM Watson Assistant comes with a strong user community and service experts.
IBM Watson Assistant services like speech-to-text are just a few clicks away. All you need to provide are some basic details like location and the resources are ready for use. There are a lot of services available from which users can choose what suits them. Its cloud storage and databases ease the work of managing a remote database.
Google Cloud AI is another platform similar to IBM Watson Assistant. Google Cloud AI has a lot of features, which I feel is terrifying for a beginner to try to understand. In my opinion, IBM Watson Assistant is much easier to understand than Good Cloud AI. Anyone can start using IBM Watson Assistant by reading the documentation of it within hours.

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IBM Watson Assistant supports full cloud with web interface. IBM Watson Assistant is also very scalable by integrating Docker containers. It supports R language as well as Python language. IBM Watson Assistant provides support for the Jupyter notebook, which we use for developing machine learning models. Data visualization and data analytics have become very efficient using IBM Watson Assistant.