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Power your business through the perspective of IBM Watson
May 14, 2022

Power your business through the perspective of IBM Watson

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

Overall Satisfaction with IBM Watson Assistant

IBM Watson Assistant has been a wonderful tool when it comes to using technologies to which you have to pay individually to get access. AI, and ML by using Python have been a major breakthrough for me in practicing data science in particular. There are so many other options too that can be used on the IBM Watson platform.
  • AI
  • ML
  • Data Analytics
  • Business Analytics
  • Python scripting
  • UI/UX
  • Jupyter notebook
  • Cost efficient
  • Reduction in irrelevant sources
The rating has been given purely based on user experience, even though I loved using IBM Watson the glitches can't be ignored, for example, delays in compilation, complications while using it online, and rectifying errors while scripts. The pleasure of using IBM Watson has been immense and I'm surely going to recommend it to as many people as I can.
The interface has been an immense scale-up for me as compared to other products and websites available in the market. Let's track it down firstly by UI/UX, technologies used inside of such tools, and then scalability of it through community reach. These factors have played an immense role in reaching out of bound than other competitors.

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

Yes

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

Yes

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

Yes

Did implementation of IBM Watson Assistant go as expected?

Yes

Would you buy IBM Watson Assistant again?

Yes

So basically I have been using Jupyter Notebook for quite a long time for the projects that I have done, for example, House pricing of Navi Mumbai, but the challenge that I faced while using it on a local platform was the library which was certainly unavailable for quite a few scenarios, but while using Juypter Notebook in IBM Watson I didn't face such a problem which made my work more efficient.