![]() ![]() The google moment, the other person talks about in another comment, is where google or 1998 didn't require a webpage owner to do anything. If that is done, then existing tools (Power BI for instance has "ask in natural language" feature) will be able to get the job done. So yes, I can understand if there is incentive for the startups to invest in Data Engineers to make well maintained data models.īut I do think, the most important value here is not the chatgpt interface, it is getting DEs to maintain the data model in a company where product/biz is moving fast and breaking things. You could just drag drop and get answers immediately. There used to be a company/product called Business Objects aka BO (SAP bought them), which had folks meticulously map every relationship. Getting this right is a big deal in team settings and basically any time the stakes are high. Luckily, while the AI part is new, there is a lot more precedent on the data ops side. 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. Arguably the same happened as Looker in introduced LookML and foreshadowed the whole semantic layer movement happening today. Understanding the user personas, and adding abstractions for facilitating them, were a big deal for delivery speed, cost, and achieved quality. ![]() 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. * Tableau moment: A project or data owner can now guide a lot more without much work. Having a tool that works with you & your team here is amazing. 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. Google replaced slow and expensive work with something easier, higher quality, and more scalable + robust. 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 moment: AI can now watch and learn how you and your team do data. It's been am exciting time to work through with our customers: There is à lot more discovery & work to pull it off, but the dam has been broken. Our theory is we are having simultaneously a bit of a Google moment and a Tableau moment. ![]()
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