Mozart Data的封面图片
Mozart Data

Mozart Data

软件开发

The modern data platform empowering anyone to easily centralize, organize, & analyze their data without engineering.

关于我们

Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern data platform empowers anyone to easily centralize, organize, and analyze their data without engineering resources.

网站
https://www.mozartdata.com/
所属行业
软件开发
规模
11-50 人
总部
San Francisco
类型
私人持股
创立
2020

地点

Mozart Data员工

动态

  • 查看Mozart Data的组织主页

    3,484 位关注者

    Happy Friyay! Here's what's new in Mozart Data this month: - Mozart AI just got smarter with Table Picker and conversational capabilities - Check out new functionalities in AI Assistant - And users can now access Bitbucket as their dbt Core repository. Learn more in our release notes! Link in comments.

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  • Mozart Data转发了

    查看Doo Shim的档案

    Product, Strategy & Ops, Data | Bling Capital

    #newfeature AI is only as good as the context it’s given. (I'm biased, but) Mozart Data's AI Assistant has always had an edge over just using generic models because it had the context — the tables, columns, and metadata of the user's data warehouse. And we recently took it a step further with the Table Selection capability in the Assistant's Text-to-SQL feature since launching the feature this past July. By encouraging users to guide the Assistant with targeted table choices, we're ensuring it collects the right business context, narrows down search scopes, and delivers SQL outputs that are actually relevant to what the user needs. We tested the feature by asking two AI Assistant threads the same question—one with selected tables (i.e. context given to AI) and one without — and got drastically different results. See how focus changes everything. It's a simple tweak, but it underscores a crucial point about AI: Context is everything. If you have data that you're struggling to figure out what to do with, let's have a conversation and try to get you to your results faster with Mozart AI! #ai #dataengineering #analytics #data

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  • Mozart Data转发了

    查看Doo Shim的档案

    Product, Strategy & Ops, Data | Bling Capital

    #newfeature AI is only as good as the context it’s given. (I'm biased, but) Mozart Data's AI Assistant has always had an edge over just using generic models because it had the context — the tables, columns, and metadata of the user's data warehouse. And we recently took it a step further with the Table Selection capability in the Assistant's Text-to-SQL feature since launching the feature this past July. By encouraging users to guide the Assistant with targeted table choices, we're ensuring it collects the right business context, narrows down search scopes, and delivers SQL outputs that are actually relevant to what the user needs. We tested the feature by asking two AI Assistant threads the same question—one with selected tables (i.e. context given to AI) and one without — and got drastically different results. See how focus changes everything. It's a simple tweak, but it underscores a crucial point about AI: Context is everything. If you have data that you're struggling to figure out what to do with, let's have a conversation and try to get you to your results faster with Mozart AI! #ai #dataengineering #analytics #data

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  • 查看Mozart Data的组织主页

    3,484 位关注者

    #founders take a look at some valuable info our Co-Founder and CEO Peter Fishman is sharing on confidence and decision-making.

    查看Peter Fishman的档案

    Co-Founder & CEO @ Mozart Data | Data Strategy & Infrastructure

    The first academic seminar I attended was in college at Duke, and it was given by Ulrike Malmendier, when she was a graduate student. Coincidentally, she later became a mentor to me at Berkeley when I was doing a PhD. What I remember of this paper/talk (admittedly, I was an undergraduate ~25 years ago, so who knows what results are still relevant, though I'd expect the biases to persist), was that "on the margin, [overconfident CEOs] undertake mergers that destroy value." https://lnkd.in/gQ54eUW3 It's a result that stuck with me for over 20 years -- as she and her co-author had a useful framework for defining "overconfidence." I even recently geeked out on this paper (and the psychology) with Tristan Handy who had remembered a similar lesson from his time in school. As I think about the #FounderMode conversation, there's a lack of ability to empirically test some concept about it (or I'm waiting to here an approach to think about the strengths and weaknesses of founders). There is a way to at least quantitatively ask whether founders or managers are more acquisitive.

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