pedromnasc (u/pedromnasc)

pedromnasc commented on Lessons from building an AI data analyst pedronasc.com/articles/le... · Posted by u/pedromnasc

mrtimo · 6 months ago

Very cool to see Malloy mentioned here. Great stuff. There is an MCP server built into Malloy Publisher[1]. Perhaps useful to the author or others trying to do something similar to what the author describes. Directions on how to use the MCP server are here [2]. [1] https://github.com/malloydata/publisher [2] https://github.com/malloydata/publisher/blob/main/docs/ai-ag...

pedromnasc · 6 months ago

One big problem now is that LLMs are not great at writing Malloy, so it is important to have a intermediate DSL. In the future as the language models evolve or someone creates a fine-tuned model that can write Malloy well, we will be able to have more autonomous agents.

pedromnasc commented on Lessons from building an AI data analyst pedronasc.com/articles/le... · Posted by u/pedromnasc

blef · 6 months ago

I would also add that context and tools are the product. This is super important to correctly tune the tools and details matter (ok you can also argue that tools are context in some way)

pedromnasc · 6 months ago

Exactly. The main thing is that it is easy to underestimate the impact of the context and proper tools. Narrowing down the search space by adding inductive biases into the the system not only make the multi-agent system more correct, but also faster.

pedromnasc commented on Lessons from building an AI data analyst pedronasc.com/articles/le... · Posted by u/pedromnasc

loganfrederick · 6 months ago

The "Short Story" section definitely matches my experience at most companies, startups and bigger non-tech companies alike: They already have more data than they're aware of and know what to do with, and understanding what they have is the starting point before most analysis can be done.

Glad I read the post as I hadn't heard of Malloy before. Excuse me if I missed the answer to this, but: How much do you as Findly/Conversion Pattern implement the Semantic Layer on behalf of your users (and if so, I assume you have some process for auto-generating the Malloy models), or do your users have to do something to input the semantics themselves?

pedromnasc · 6 months ago

> The "Short Story" section definitely matches my experience at most companies, startups and bigger non-tech companies alike: They already have more data than they're aware of and know what to do with, and understanding what they have is the starting point before most analysis can be done.

exactly, most of them are concerned about the data they don't have, while in practice they do have a lot to generate good insights.

> Glad I read the post as I hadn't heard of Malloy before. Excuse me if I missed the answer to this, but: How much do you as Findly/Conversion Pattern implement the Semantic Layer on behalf of your users (and if so, I assume you have some process for auto-generating the Malloy models), or do your users have to do something to input the semantics themselves?

We do have an automatic semantic layer generation framework which works as a great starting point, but for the generic case you still have to manually edit / improve it based on the customer's internal context. User's can edit themselves in our UI too, but it usually requires some level of help from us.

We do have a vertical product for commodity trading and shipping: https://www.darlinganalytics.ai/ -> in that case the semantic layer is much more well defined, which makes setup way easier.

pedromnasc commented on Lessons from building an AI data analyst pedronasc.com/articles/le... · Posted by u/pedromnasc

pedromnasc · 6 months ago

Hi all,

I wrote a post on some lessons from building an AI data analyst. The gap from a nice demo to a real production system is big -> with a lot of yet to be solved challenges.

Would love to share ideas with other builders in the space and willing to learn more about it.

pedromnasc commented on VoxReply – Use Your Voice to Craft Faster Email Replies, by Findly.ai findly.ai/voxreply... · Posted by u/pedromnasc

pedromnasc · 3 years ago

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