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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 t
by saigal 2y ago
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.
- edmundsauto 2y agoCan you explain more about why governance is the issue with a service like this? Companies not wanting their data to go off prem?
- saigal 2y agoyes. 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.
- edmundsauto 2y agoInteresting. So by open sourcing you think companies can self host and it negates some of these issues? Or is your goal into increase future contributions to keep the project alive and developing? What % of the NL -> SQL problem is solved in the current version? Ie is this something ready for some type of prod work now, or is it “in 2-3 years we’ll be there”?
- threecheese 2y agoNot OP, but there was an EHR SaaS company on HN a day or two back with a similar proposition: it’s open source, so it can be independently verified from a security perspective. It was interesting to me because the code was unusable to normal folks, and even other companies - one of the founders described their moat being the trouble of actually integrating with the ecosystem, and weren’t worried about competitors using it. It really hammered home to me how open source is more and more a marketing lever lately.
- aazo11 2y agoThere are organizations using Dataherald in production right now. The latency is ~20-30s and it takes some set up, so as long as those are not blockers it can be used in prod.
- saigal 2y agoFor 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.