IBM watsonx.ai Reviews & Product Details

IBM Watsonx is an MLOps platform that we have been using for some time now. It is a no-code tool that allows us to create and enrich data, build workflows, and also offers developer support through API keys and sandbox environments for testing, training, and validating LLM models. Review collected by and hosted on G2.com.

IBM watsonx is really powerful, but does not have great open source community support. It really great for R and python developers. Review collected by and hosted on G2.com.

What I appreciate most about IBM watsonx.ai is its user-friendly AI studio. I was able to create a chatbot for internal support by leveraging pre-trained models, which made the process much more efficient. This approach saved me a significant amount of time, required minimal coding, and integrated smoothly with our existing systems. As a result, our helpdesk now responds more quickly, leading to greater employee satisfaction. Review collected by and hosted on G2.com.

One aspect I find challenging about IBM watsonx.ai is the steep learning curve involved in deploying custom models. When I attempted to set up a tailored NLP model for tagging internal documents, the process turned out to be more complex and required more configuration than I had anticipated. This complexity ended up delaying our timeline and meant we needed additional assistance from IBM’s support team. Review collected by and hosted on G2.com.

IBM watsonx.ai is an easy-to-use platform for building AI and machine learning models. What I like most about it is how it brings everything together in one place — from training models to testing and deploying them. It supports both traditional machine learning and modern AI models like large language models, so you can work on a wide range of projects. You can use IBM’s models or bring your own, which gives you a lot of flexibility. The interface is clean and well-organized, so it’s easy to get started even if you’re not a technical expert. It also connects well with other IBM tools like watsonx.data and watsonx.governance, which makes managing data and keeping your AI projects compliant a lot simpler. The customer support is incredibly efficient and I feel like I can rely on it, because it is fast. My goal is to create an AI Agent with it, which uses RAG and other tools and it was very easy to understand how the tools work. Overall, I really appreciate how watsonx.ai helps streamline the whole AI development process without feeling too complex or overwhelming. Review collected by and hosted on G2.com.

Sometimes, the platform can feel a bit slow, especially when handling large datasets or switching between tools. The user interface, although clean, can be a little overwhelming at first because there are so many options and settings to learn. Review collected by and hosted on G2.com.

I’m really impressed by Watsonx.ai—especially its multi-cloud deployment feature, which makes it easy to use across different cloud platforms. It’s user-friendly, reliable, and the customer support is great. It’s also a transparent and trustworthy AI platform, ideal for businesses. Review collected by and hosted on G2.com.

So far, everything on the platform has met our expectations. Since it offers many features, we're still exploring and learning with the help of the support team to fully master it. Review collected by and hosted on G2.com.

Ease of Integration is the best thing i found in this.

I found watsonx.ai relatively straightforward to integrate with existing data pipelines. It supports a variety of data sources, including structured financial data, which made onboarding less painful than expected. Review collected by and hosted on G2.com.

While the platform offers powerful tools, it expects a certain level of familiarity with data science workflows and model development. This made it difficult for finance professionals to use it independently without leaning heavily on data or tech teams. Review collected by and hosted on G2.com.

The product has supported my organization as an IBM Partner scaling and being introduced to organizations to discuss AI Adoption. Our team at CrossRoads IT Group are ALL IN with Watsonx. Review collected by and hosted on G2.com.

I cannot say I dislike anything about the product. We would like additional demos and use cases to really get the customer to engage for a better experienc.e Review collected by and hosted on G2.com.

What I like best about IBM watsonx.ai is that it makes it easy to create and use smart AI tools that can grow with your business. It also helps make sure the AI is fair and trustworthy. Plus, it works well with IBM’s cloud, so everything runs smoothly. Review collected by and hosted on G2.com.

What I don’t like about IBM watsonx.ai is that it can be hard to learn and use if you’re new to AI. Some parts need more technical skills to understand. Review collected by and hosted on G2.com.

Watson AI is a comprehensive AI platform that helps drive our business use cases by being able to integrate its features with my companies products. The AI functionality has been incorporated into the products we already have which has given us a greater scope of possibility of what we can accomplish Review collected by and hosted on G2.com.

Training did take a while to utilize the full functionality of the platform because there is so much it is capable of Review collected by and hosted on G2.com.

We integrated watsonx.ai together with the Build lab team into one of our own applications. The implementation itself took less than a day and we received a full manual on how to do it again ourselves later. Our customers are also very happy with this integration we now provide as it easily matches on the services we already deliver. As it was built with the build lab, we received a lot of support and know who to contact for future developments. Review collected by and hosted on G2.com.

It is a big product and cannot be easily used outside of an IBM container. Our main focus is on prem work so this is usually our struggle point. Review collected by and hosted on G2.com.

it empowers teams to build and scale AI with confidence. Its combination of open-source flexibility, enterprise-grade governance, and built-in foundation models makes it incredibly powerful for real-world AI development. Review collected by and hosted on G2.com.

While IBM watsonx.ai offers a strong platform for building and scaling AI, there are a few areas that could be improved. The learning curve can be steep for new users unfamiliar with IBM’s ecosystem, and some documentation could be more detailed, especially when it comes to advanced integrations or model fine-tuning workflows. Review collected by and hosted on G2.com.