Automation has replaced manual customer operations and is improving accuracy and focus
What is our primary use case?
My main use case for Arize AI is to create LLM software. Recently, we were looking for an AI agent to automate all the tasks that we were doing manually, such as creating a proper system where we can import data from a software, send direct emails to the system, and get responses to manage all operations. We did not want to hire a team for all that manual work. We preferred building an AI agent, so we used Arize AI and created that automation software to automate all our tasks and save more of our time.
I can see that Arize AI is used for LLM tracing. We can use that functionality. Suppose we are creating an agent, we can set up manual processes into this system. Suppose it will be operating on Instagram, it will be doing billing, or it will be providing tech support, or it will be giving knowledge to the system. A user can click on billing, then they can proceed with billing, and if they want customer support, then they can access customer support. All these things are properly managed by an agent nowadays. Arize AI is successful in that capacity.
What is most valuable?
I can say that the best features Arize AI offers is that I do not need to use multiple software solutions. Suppose I do not need to connect with third-party apps; it is a complete AI team. It is not just one software; it is a complete AI team. I can do anything available from this one software. I need not merge any third-party software. I need not integrate it. All the things that I want to do as an agent, a basic AI agent, I can access Arize AI and create an agent. I can trace from there, evaluate from there, experiment, give a prompt, monitor, and give annotation. All the things are possible.
The feature I use most often and find the most valuable in my daily work is that the prompt playground is more of a benefit for me. We can give a prompt, set the functions, and see how users interact with it. All these things, and we can target our language from the features. We can send messages also. We can see auto-generated prompts. We can view them from here. We can run two prompts at a time. We can run multiple prompts at a time. I think it is quite useful.
In the prompt playground, I can see we can do most of the things. We can translate the prompt from one thing to another. We can use any of ChatGPT. We can use any model from the AI, such as GPT, and we can use any parameters. It is not limited to one software. We can change software also. We can use AI bots also from here. I think that is quite useful.
Arize AI has positively impacted my organization by reducing most of our manual work. We have shifted to complete automation from this. Working hours are reduced and we are more focused. There is less chance of mistakes. We are more focused toward accuracy and can focus more on our work.
What needs improvement?
I think we can improve its interface. The interface is a little boring. We can make it cool and engaging.
For how long have I used the solution?
I have been using Arize AI for around four to five months.
What was our ROI?
We can say that we hired three members for customer support and built an AI. Those three members were costing us around 60,000, and we spent that amount on this AI, so I think that was good. That is something we reduced.
What other advice do I have?
If others are looking to build an AI agent and reduce headaches from the company and focus more on accuracy while reducing the politics of the company, I advise them to go for AI software, reduce manual workload, and shift to automated tasks so that you can focus more on your work rather than the politics happening in the company nowadays. Arize AI is quite useful and it is great. My review rating for this product is 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Custom Code Evaluator and Live Tracing Make Projects Shine
What do you like best about the product?
Custom Code Evaluator and Live tracing projects.
What do you dislike about the product?
when you choose to run 10/20 rows in the playground by selecting the dataset.
Instead of first 10 rows it randomly runs any 10 examples.
Which doesn't helps with the consistency in running the evals
What problems is the product solving and how is that benefiting you?
Logging and Monitoring for the LLM .
Accessible Trace Viewing with Powerful Filtering and Trace Tree Insights
What do you like best about the product?
I like how accessible it is to view traces, spans, and sessions, along with the evaluation methods. It’s also helpful that I can access them either through the UI or even offline. The filtering of data also makes it very easy to view the required spans, traces and sessions. Also the trace tree feature is very helpful to view the kind of each span.
What do you dislike about the product?
There’s really nothing to dislike. The only thing I’d change is making the filtration a bit simpler, because it took me a while to understand. Once I got how the filtration works, though, I was able to connect without any issues.
What problems is the product solving and how is that benefiting you?
It helps with evaluating LLM tool-calling workflows, such as agents, as well as assessing business-level summaries. It provides logging mechanisms so you can see what input is being sent to the LLM and how it generates its outputs. This also helps users improve their prompts and review the LLM performance of their tool accordingly.
Super fast ML model issue resolver
What do you like best about the product?
The time of understanding the problem and ML performance tracing
What do you dislike about the product?
There is actually nothing to dislike that has been found by me
What problems is the product solving and how is that benefiting you?
Automated Model Monitoring and Drift Detection for our AI-ML Model trained
Best tool for eliminating ML Model Issues
What do you like best about the product?
Interface is so easy to analyze and perform complex tasks and detect machine learning model issues with ease.
What do you dislike about the product?
Nothing pretty much, It has all the required things in place
What problems is the product solving and how is that benefiting you?
Creating Machine Learning model is a hectic task and debugging, analysis of that model is other heavy lifting job. Using Arise AI its so easy to debug models.
Emerging AI tool, wonderful experience
What do you like best about the product?
integrating multiple models using logistics and SVMs, and Regessors etc
What do you dislike about the product?
not as such, so far, a little performance issue i faced
What problems is the product solving and how is that benefiting you?
We had to make the model to build the question pair similarity. and we were succefuly deployed it to our customers use. wonderful
Arize AI is Awesome
What do you like best about the product?
It helps me visualize what problems have occurred in my model and helps me improve performance, all in a matter of few clicks and template settings. It provides a very friendly dashboard with different views for different stakeholders.
What do you dislike about the product?
There are a lot of visualizing charts, which can be a plus point surely but also a could lead to choice overload if not narrowed down to which is more appropriate.
What problems is the product solving and how is that benefiting you?
The platform gives a high-level overview of the models in production along with the support of validation and training datasets which can be easily configured to compare the benchmarks and answer questions as to why the model is behaving the way it is.
