What is our primary use case?
Our use case involves leveraging it for tasks such as generating document summaries with keyword detection after scanning. Additionally, we employ image augmentation based on image descriptions. For advanced language analytics, we analyze the frequency of specific keywords and business terms within documents, ultimately ranking the documents based on these criteria.
What is most valuable?
It provides the most valuable external analytics. Whether I'm searching for patterns or conducting keyword-based analytics, I consistently achieve better accuracy with Vertex compared to OpenAI from Azure.
What needs improvement?
While it employs chat activity for answering queries, the available options might be somewhat limited. I've noticed that using chat activity often presents a broader range of options and insights for a well-constructed question. Improving the knowledge base could be a key aspect for enhancement—expanding the information sources to enhance the generation process.
For how long have I used the solution?
We have been using it for the past three months.
What do I think about the scalability of the solution?
I find it easy to both scale out and scale up. I don't foresee any issues when the user volumes increase; the Google Platform automatically handles it, which is helpful.
How are customer service and support?
Google's support is impressive. They are highly responsive and go the extra mile to assist users in trying out and ensuring they stand out in the market. I would rate it ten out of ten.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
Previously we were using Azure OpenAI. In certain aspects, Azure outshines Vertex, particularly in total text analytics and, more notably, in multi-language capabilities. However, when it comes to generating content from a robust knowledge base, OpenAI is my go-to because of its extensive knowledge repository. The choice between platforms depends on the specific use case at hand.
How was the initial setup?
The initial setup was easy, especially for someone with a technical background like myself. It didn't require much effort, and the abundance of documentation made the process smooth.
What about the implementation team?
Our current activities involve proof of concept and piloting. Currently, our pilot phase appears to be successful, and we are examining volume metrics to determine the next steps for transitioning into actual production deployment.
What was our ROI?
As a product company with implementations spanning eight different platforms, we plan to offer this specific feature selectively to enterprise-grade customers based on their needs. I'm confident that there's substantial value addition for end customers using it, leading to a significant return on investment.
What other advice do I have?
Overall, I would rate it eight out of ten.
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?
Google
Disclosure: I am a real user, and this review is based on my own experience and opinions.