Govern the AI models
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

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