saigal

we intend to

The autonomous car analogy is a good one. The technology is overall so far superior to a human (probably scrolling TikTok) driving but the moment it makes a mistake we remove the AEV which would be to to higher societal benefit.

Decisions should be made against an alternative, not against some fictitious perfect solution.

Couldn’t agree with this more. Exactly.

For companies that are willing to put in some effort, the self hosting option is a great one. There are certain use cases where this works now, and is already in production. These tend to be use cases with some constraints and don’t deal with very sensitive data.

we've encountered a lot of instances when people know SQL but just want a first draft of SQL to expedite the process. we see this a lot from data analysts too.

yes. some want BYOC solutions. others don't want to even be perceived as being used to train an LLM. not to mention CCPA, GDPR, etc etc etc.

lots of questions around what data is being sent to the LLM, or just schema.

The question was around row level security

Yes totally agree. You can easily sniff out products that are simple wrap of GPT

Search bar within the SaaS interface that allows user to ask data questions and returns back NL answer or specific cut of data

Yes. Correct.

We also encounter a lot of build vs buy conversations with businesses.

Enterprises are spending lots of time and money on this. The biggest issue that has slowed down sales cycle at this stage has been data governance. Most folks think it’s about accuracy or latency (which of course is an issue) but data governance can make this whole thing a non starter.

there is a middle ground here. the most complicated queries will need the intel and business context of a smart data scientist. there are however so many types of queries where automation would make the world so much easier and allow more self-serve type data inquiries. too often the rhetoric around these topics is binary as in "it works" or "it doesn't work." in reality, there are certain use cases that work now and others that don't yet.

fantastic. let us know how it goes :-)