Govern the AI models
October 20, 2025

Govern the AI models

Sarthak Chopra | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM watsonx.governance

So basically we are using it to keep our AI models transparent and safe. We use this with wastsonx.ai which we leverage for creating a lot of AI models and chatbots. AI is in the limelight everywhere and we want to ensure that the models we deploy give unbiased results. IBM watsonx.governance doing a pretty well job out there.

Pros

  • It can flag any biased patterns in AI (a really important feature)
  • Generate audit reports
  • Ensures that models are using only approved datasets.

Cons

  • Connecting with tools outside Ibm, we tried once, can be challenging
  • Real time can be quicker although it works great
  • Perhaps interface, if we count it.
  • Better accuracy of AI models
  • Reduction in the biasness
  • Data integrity
It makes it easy to see where the data is being fed into the model and how AI models use it. Also, it simplifies the audits with clear reports. The best capability is when it is able to flag the biasness in the model and that is very crucial to our in house models that we have built.
Tracking AI model decisions and results, I believe was quite time consuming and a lot of bandwidth was utilised for this task , now made easier with IBM watsonx.governance. it helps in my team making the model more accurate, efficient and reliable for whoever our end user is. Collaboration has become easier too.

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

Yes

Are you happy with IBM watsonx.governance's feature set?

Yes

Did IBM watsonx.governance live up to sales and marketing promises?

Yes

Did implementation of IBM watsonx.governance go as expected?

Yes

Would you buy IBM watsonx.governance again?

Yes

It keeps an eye of the AI models that we have deployed (IBM watsonx AI in our case) and ensures that it follows the data rules there. When our parallel team in collaboration with us was building support AI model, it helped flag responses that may breach privacy rules. We then redrafted the prompts accordingly.

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