[lmeyerov]

Our theory is we are having simultaneously a bit of a Google moment and a Tableau moment. There is à lot more discovery & work to pull it off, but the dam has been broken. It's been am exciting time to work through with our customers:

* Google moment: AI can now watch and learn how you and your team do data. Around the time Google pagerank came around, the Yahoo-style search engines were highly curated, and the semantic web people were writing xml/rdf schema and manually mapping all data to it. Google replaced slow and expensive work with something easier, higher quality, and more scalable + robust. We are making Louie.ai learn both ahead of time and as the system gets used, so data people can also get their Google moment. Having a tool that works with you & your team here is amazing.

* Tableau moment: A project or data owner can now guide a lot more without much work. Dashboarding used to require a lot of low-level custom web dev etc, while Tableau streamlined it so that a BI lead good at SQL and who understood the data & design can go much further without a big team and in way less time. Understanding the user personas, and adding abstractions for facilitating them, were a big deal for delivery speed, cost, and achieved quality. Arguably the same happened as Looker in introduced LookML and foreshadowed the whole semantic layer movement happening today. To help owners ensure quality and security, we have been investing a lot in the equivalent abstractions in Louie.ai for making data and more conversational. Luckily, while the AI part is new, there is a lot more precedent on the data ops side. Getting this right is a big deal in team settings and basically any time the stakes are high.

[scoot]

> Around the time Google pagerank came around, the Yahoo-style search engines were highly curated

Hmmm, no. Altavista was the go-to search engine at the time (launched 1995), and was a crawler (i.e. not a curated catalog/directory) based search. Lycos predates that but had keyword rather than natural language search.

Google didn't launch until 1998.

[eek2121]

Hotbot was amazing back in the day. Google scored me post high school schoolin', however, so I won't complain...Shoot Google helped me make the local news back in the day!

[tucnak]

Is that right? You do all that at Louie.ai?

[lmeyerov]

Yep. A lot more on our roadmap, but a lot already in place!

It's been cool seeing how different pieces add up together and how gov/enterprise teams push us. While there are some surprising implementation details, a lot has been following up on what they need with foundational implementations and reusing them. The result is a lot is obvious in retrospect and well-done pieces carry it far.

Ex: We added a secure python sandbox last quarter so analysts can drive richer data wrangling on query results. Except now we are launching a GPU version, both so the wrangling can be ML/AI (ex: auto feature engineering), users can wrangle bigger results (GPU dataframes), and we will move our own built-in agents to it as well (ex: GPU-accelerated dashboard panels). Most individual PRs here are surprisingly small, but opens a lot!

[zurfer]

as someone building in this space, I am a bit surprised how many concepts you managed to combine in your last sentence. :'D

I will bookmark: ... and we will move our own built-in agents to it as well (ex: GPU-accelerated dashboard panels).

[lmeyerov]

Those are pretty normal needs for us and our users. A big reason louie.ai exists is to make easier all the years of Graphistry helping enterprise & gov teams use python notebooks, streamlit/databricks/plotly python dashboards, and overall python GPU+graph data science. Think pandas, pytorch, huggingface, Nvidia RAPIDS, our own pygraphistry, etc.

While we can't those years of our lives back, we can make the next ones a lot better!