IBM watsonx.governance as a Service
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Streamlined AI Governance with Flexibility
What do you like best about the product?
I really appreciate IBM watsonx.governance for several compelling reasons. One of the standout features for me is the AI Governance & Trust capabilities, which enhance the reliability and ethical deployment of AI models, ensuring that they can be used with confidence across my organization. The flexibility of the foundation model is another highlight, providing me with the adaptability needed to tailor AI applications to diverse scenarios and requirements effectively. I also find the enterprise integration capabilities to be highly beneficial, as they allow seamless connectivity with other tools and systems within our existing infrastructure, which simplifies the workflow and boosts efficiency. Additionally, I value the pre-built models and templates that IBM watsonx.governance offers, as they significantly streamline the initial setup process. It's also incredibly convenient to have integration with the broader IBM ecosystem, such as IBM Cloud Pak for Data, which enhances my overall operational capabilities. These features collectively make IBM watsonx.governance an invaluable tool in building, training, and deploying AI models, especially when managing data at scale.
What do you dislike about the product?
I think IBM watsonx.governance could benefit from a broader model ecosystem. Expanding this would make the platform more versatile. Adding more support for open-source, community-driven models and domain-specific models would greatly enhance its flexibility and adaptability.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.governance to automate data analysis, saving time and reducing errors. It provides foundation model flexibility, AI governance and trust, and smooth enterprise integration, enhancing efficiency in building, training, and deploying AI models.
Robust AI Governance, But Onboarding Can Be Tricky for Newcomers
What do you like best about the product?
This AI governance platform assists organizations in managing and monitoring both generative and machine learning models, helping to ensure that these models operate in a responsible, transparent, and compliant manner.
What do you dislike about the product?
Getting started can be somewhat complicated, particularly for teams that are not already familiar with IBM's ecosystem.
What problems is the product solving and how is that benefiting you?
This tool offers the ability to evaluate and analyze your RAG application both during development and for ongoing monitoring once it is in production. In addition to calculating metrics, the RAG Circles UI presents an intuitive interface for examining transactions that exceed metric thresholds. This helps in identifying potential issues within the application and suggests possible actions to enhance its performance.
Absolutely Love This product.
What do you like best about the product?
comprehensive, integrated platform for the entire AI lifecycle.
What do you dislike about the product?
Strongly feel no much cost savings and unified mgmt.
What problems is the product solving and how is that benefiting you?
Scalability and Flexibility (Hybrid Cloud)
Facilitates AI Development with Smooth Setup
What do you like best about the product?
I appreciate how IBM watsonx.governance makes my work easier by automating tasks, like sending emails, with just small commands, which significantly reduces my manual effort. I find its straightforward setup process quite beneficial, as it allowed me to start using the product without major issues. The product integrates well with other tools, such as Microsoft Outlook, enhancing my workflow by simplifying communication tasks. IBM watsonx.governance is remarkable in the way it facilitates customization and integration, making the user experience smooth and easy, thereby simplifying my daily job.
What do you dislike about the product?
Documentation is a little bit poor
What problems is the product solving and how is that benefiting you?
I find IBM watsonx.governance simplifies my tasks by automating email sending and performing health checks, reducing manual effort.
Building Trust in AI with Strong Governance Tools
What do you like best about the product?
I like how IBM watsonx.governance provides clear visibility and control over AI models, ensuring compliance and transparency.
What do you dislike about the product?
Some features require a bit of a learning curve, especially for new users.
What problems is the product solving and how is that benefiting you?
IBM watsonx.governance helps ensure our AI models are compliant, transparent, and fair. It automates monitoring and documentation, reducing manual effort and improving confidence in model outputs.
Model Module is flexible and sophisticated
What do you like best about the product?
continued support and development for the tool; flexibility and capabilities in workflow design
What do you dislike about the product?
does not have ability to natively link upstream/downstream models/objects together; limited in ability to link a Model Object to another Model Object (link objects of the same type)
What problems is the product solving and how is that benefiting you?
Ability to manage model inventory
Watsonx Governance
What do you like best about the product?
I like how watsonx governance combines model risk, generative ai, and governance. For example, the ability to create a use case, track a model, associate with workspaces, and evaluate prompts all in a single area are great. Even better, but IBM recently launched a new feature called the Governance Console where you can track multiple models, enable and create controls, and evaluate risks.
Governance had Gen AI metrics like ROUGE and BLEU, as well as the ability for classification like F1, Accuracy, precision, recall, etc
Governance had Gen AI metrics like ROUGE and BLEU, as well as the ability for classification like F1, Accuracy, precision, recall, etc
What do you dislike about the product?
I don't like how an evaluation in Watsonx Governance overwrites the previous evaluation results if done on the same day. OpenScale will keep the history, but governance in the AI Factsheet does not. Same issue exists for the trend charts.
For example, the trend charts available in OpenScale have a time setting for hourly, daily, weekly, etc. But let's say i do 20 evaluations in a day. Then a week later I want so show how those 20 evaluations did, and the overall trend. If I change to hourly, then the graph is too sparse (it's been a week), but if I change to daily, then it's just a single dot (all 20 evals were on a same day). Wish OpenScale and Governance would fix this.
Then the ability to show the generated_text against the reference (ground truth) text. Yes, you can download the results to a CSV but there's two big missing features (1) the downloaded CSV is missing the reference text, it only has the generated text. So you have to come up with a way to match that record to its original source if you want to compare, and (2) you have to do this each time for each subset. Why not just have the ability to view that record in the software and avoid having to download the CSV? the text is truncated and there's no way to see it
For example, the trend charts available in OpenScale have a time setting for hourly, daily, weekly, etc. But let's say i do 20 evaluations in a day. Then a week later I want so show how those 20 evaluations did, and the overall trend. If I change to hourly, then the graph is too sparse (it's been a week), but if I change to daily, then it's just a single dot (all 20 evals were on a same day). Wish OpenScale and Governance would fix this.
Then the ability to show the generated_text against the reference (ground truth) text. Yes, you can download the results to a CSV but there's two big missing features (1) the downloaded CSV is missing the reference text, it only has the generated text. So you have to come up with a way to match that record to its original source if you want to compare, and (2) you have to do this each time for each subset. Why not just have the ability to view that record in the software and avoid having to download the CSV? the text is truncated and there's no way to see it
What problems is the product solving and how is that benefiting you?
Model Governance and Monitoring
Powerful AI Governance Tool for Cybersecurity Compliance and Risk Management
What do you like best about the product?
It gives us clear visibility and control over AI and data workflows, making it easier to enforce compliance and manage risk. I especially value its explainability features and how well it integrates with our cybersecurity processes.
What do you dislike about the product?
The UI can feel a bit complex at first, especially for new users. There’s a learning curve, and some advanced features could be more intuitive. But once you’re familiar with it, it’s a powerful tool.
What problems is the product solving and how is that benefiting you?
It helps us manage AI risk, ensure compliance with data privacy regulations, and maintain transparency in automated decisions. This reduces security gaps and saves time during audits and risk assessments.
Governance product to face the EU AI Act
What do you like best about the product?
The product had matured greatly over the past year and offers access to a wide range of personas. This is extremely valuable since preparing the documentation for the EU AI Act is a team effort.
It is well integrated with Watsonx AI.
It is well integrated with Watsonx AI.
What do you dislike about the product?
Pricing tag.
Integration with Git can be improved.
Integration with Git can be improved.
What problems is the product solving and how is that benefiting you?
Monitoring AI models at different stages (from dev, test, production) and support for the EU AI Act requirements
Review for IBM Watsonex.governance
What do you like best about the product?
Much needed framework for governing models applications and data workflows.
Responsible AI Framework
Automated Compliance
Responsible AI Framework
Automated Compliance
What do you dislike about the product?
Not much as of now. New to me .Cost can be reduced if feasible.
What problems is the product solving and how is that benefiting you?
Customized dashboards and model factsheet,simplifies documentation.
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