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I like that it allows for conversational queries, which can make accessing data feel more intuitive.
Unfortunately, I feel that it doesn't always interpret my queries accurately, leading to irrelevant results.
It can reduce the time spent on some queries, but the inaccuracies mean I still have to double-check with raw data sources.
The idea of integrating conversational AI with data access is intriguing, and I believe it has potential.
However, the platform can be quite slow and unresponsive at times, which is frustrating when I'm in a hurry to get information.
It does help streamline some of my data queries, but I often still rely on traditional methods to verify the information I get.
I really like the capability of using natural language to get data insights. It makes it less intimidating for non-technical users.
There are times when the AI's responses feel off-target, indicating that it still has room for improvement in understanding context.
It aids in simplifying data queries, reducing the burden on our analytics team, and allowing quicker decision-making.
I appreciate the concept of natural language queries. It felt promising to access data without needing advanced technical skills.
However, the execution falls short. The interface can be confusing, and I often find the AI struggles with context in my queries.
While it aims to break down data silos, I still find myself needing to consult with IT for complex queries. It hasn't significantly improved my data access.
Stardog's approach to simplifying data access is commendable. I enjoy the user-friendly interface.
That said, the system can sometimes lag when processing complex queries, which can be a downside.
It helps me quickly gather insights without needing to go through multiple databases, which is a huge time saver in my role.