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Great product and excellent team
What do you like best about the product?
In my opinion, Whylabs is an excellent product which provides a lot of useful insights on model performance, model inputs and model outputs. With the insights provided by Whylabs, we immediately found ideas to further improve our models.
It's worth to highlight the support that we have from Whylabs team. It has been a smooth collaboration with Whylabs team. Whenever I have any questions about using Whylabs, I got my questions answered within a very short turnaround time.
It's worth to highlight the support that we have from Whylabs team. It has been a smooth collaboration with Whylabs team. Whenever I have any questions about using Whylabs, I got my questions answered within a very short turnaround time.
What do you dislike about the product?
Having more documentations/tutorials on some situations may help users better onboard with Whylabs. In addition, for existing documentations, keeping it up-to-date with latest changes may also help.
What problems is the product solving and how is that benefiting you?
Whylabs helps provide insights on Machine Learning models in production: model performance, data drift, data skewness, etc.
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Excellent product for model monitoring
What do you like best about the product?
Whylabs offers a great platform for people who are interested in adding monitoring capabilities to your models. It provides great visuals for data distributions, and also offers easy-to-add data monitors / alerts to detect anomalities, data drift, and so on.
It has also been a great pleasure for me to work with the Whylabs team. They have really excellent experts who have helped us a lot with the integration of whylogs to our models. Great optimization has been done on their side to make whylogs work for our specific use case.
It has also been a great pleasure for me to work with the Whylabs team. They have really excellent experts who have helped us a lot with the integration of whylogs to our models. Great optimization has been done on their side to make whylogs work for our specific use case.
What do you dislike about the product?
It would be great to have more options to custom the dashboards for profiles. Documentation could also be better and more complete. However, Whylabs is consistently improving their product, I can definitely see a more mature product in the near future!
What problems is the product solving and how is that benefiting you?
Whylabs helps monitor the inputs and outputs of our model. Integrating Whylogs to this service helps open the door for capturing potential data drift in predictions, detecting anomalies in model inputs, and understanding user traffic better.
Great product backed by a fantastic team
What do you like best about the product?
As a product, WhyLabs AI Observatory helps fulfill a critical role in providing observability for ML models and pipelines. Our ML team has adopted WhyLabs for some mission-critical models, providing ease of mind that we're tracking the metrics needed to ensure model performance and responsible use of data.
The WhyLabs team is also super quick to support our ML team's questions and feature requests. They have been a pleasure to work with, and I look forward to continued collaboration.
The WhyLabs team is also super quick to support our ML team's questions and feature requests. They have been a pleasure to work with, and I look forward to continued collaboration.
What do you dislike about the product?
Being a relatively young company, they don't yet provide the functionality and documentation coverage to cover all the existing ML use cases. That being said, the onboarding process has been reasonably smooth for us, and any features that weren't already part of the product were quickly added.
What problems is the product solving and how is that benefiting you?
WhyLabs provides easy ways to track different metrics across our data and ML models. It also allows us to visualize the data intuitively through a web UI. Focus on high-quality data is being recognized as a more and more critical component of the ML lifecycle, so having a tool like WhyLabs AI Observatory lends confidence to our models and data.
Excellent AI Observability service! Easy to deploy and use!
What do you like best about the product?
The ability to gain insight into changing data trends quickly - Normally, it would take days or weeks to assess via traditional monitoring tools. With WhyLabs AI Observatory, it can be done within significantly less time.
What do you dislike about the product?
It could use a little more documentation to assist with the initial setup. There were a few cases where an info popup would have been useful to clarify questions during the setup process.
What problems is the product solving and how is that benefiting you?
Quick and timely insights into data trends to help determine how our clients are using our services. We could determine the most commonly used features our clients use across our products on our web application.
WhyLabs: Excellent Product, Amazing Team!
What do you like best about the product?
After researching the major players in the ML Observability space I concluded that the WhyLabs team has the best understanding of what functionality is actually needed to conduct actionable monitoring of your ML models and to ensure that you can trust your ML systems to run at scale. The team at WhyLabs has a deep understanding of the problem of ml observability and that is reflected in the product which enables you to perform monitoring easily and intuitively without overcrowding the product with unnecessary, confusing functionality (which a number of competitors do).
What do you dislike about the product?
Nothing! WhyLabs has an amazing product which is a reflection of the really strong team that builds it!
What problems is the product solving and how is that benefiting you?
WhyLabs solves the problem of ML observability. When a company is running ML models in production that make critical decisions that affect their customers and/or product, it's necessary to ensure that those models are running healthily and not generating bad predictions. WhyLabs enables a company to trust their ML models to make these decisions because they know that through WhyLabs, they will be alerted if a model starts to fail so they can take immediate action to fix the model and prevent negative impact.
WhyLabs! An excellent platform for Data Monitoring
What do you like best about the product?
WhyLabs tools are easy to use and also provide a lot of security and privacy because much of the processing can be done locally instead of by the vendor.
What do you dislike about the product?
There's not a lot on the platform that I dislike. It's a very powerful platform that can be overwhelming in some instances.
What problems is the product solving and how is that benefiting you?
Data and Model monitoring to make sure that there is consistency in the data and the predictions.
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