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Highlights from the a16z Data and AI Forum, featuring founders building products across the spectrum of data and AI use cases.
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Transactional databases have long been the most critical component of application design. Why? Because a steadfast database is generally the ultimate enforcement point for correctness in a messy, distributed world. Witho...
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We’re starting to see the very early stages of a tech stack emerge in generative artificial intelligence (AI). Hundreds of new startups are rushing into the market to develop foundation models, build AI-native apps...
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The Data50 are the 50 bellwether data startups across the most exciting categories in data, such as AI/ML, ELT and orchestration, and data observability.
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Data has long been lauded as a competitive moat for companies, and that narrative’s been further hyped with the recent wave of AI startups. Network effects have been similarly promoted as a defensible force in building...
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Editor’s note: This recent podcast interview of Marc Andreessen was conducted by Brian Koppelman, writer (Rounders, Ocean’s Thirteen, etc.), director, and showrunner (with David Levien) of Billions. The full Q&am...
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In 2017 The Economist declared data to be the world’s most valuable resource. And yet “data insight” is one of those phrases that, while important, is now so ubiquitous it’s been numbed of meaning. So how do ...
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As we enter a new era of distributed computing — and of big data, in the form of machine and deep learning — storage becomes (even more) important. It might not be sexy, but storage is what makes the internet...
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Should I take my company public? Why? If so, when and how? In this post, I’ll demystify these questions and provide a framework for answering them.
Data
Without an interconnected network of tools and technologies, extracting meaning is impossible, and “data” becomes a meaningless buzzword.
Featured Data Content
This is an updated version of a post we originally published in 2020. You can read the original version here.
Data has long been lauded as a competitive moat for companies, and that narrative’s been further hyped with the recent wave of AI startups. Network effects have been similarly promoted as a defensible force in building...
All Data Content
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In 2017 The Economist declared data to be the world’s most valuable resource. And yet “data insight” is one of those phrases that, while important, is now so ubiquitous it’s been numbed of meaning. So how do ...
-
As we enter a new era of distributed computing — and of big data, in the form of machine and deep learning — storage becomes (even more) important. It might not be sexy, but storage is what makes the internet...
-
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Highlights from the a16z Data and AI Forum, featuring founders building products across the spectrum of data and AI use cases.
-
Transactional databases have long been the most critical component of application design. Why? Because a steadfast database is generally the ultimate enforcement point for correctness in a messy, distributed world. Witho...
-
We’re starting to see the very early stages of a tech stack emerge in generative artificial intelligence (AI). Hundreds of new startups are rushing into the market to develop foundation models, build AI-native apps...
-
The Data50 are the 50 bellwether data startups across the most exciting categories in data, such as AI/ML, ELT and orchestration, and data observability.
-
Data has long been lauded as a competitive moat for companies, and that narrative’s been further hyped with the recent wave of AI startups. Network effects have been similarly promoted as a defensible force in building...
-
Editor’s note: This recent podcast interview of Marc Andreessen was conducted by Brian Koppelman, writer (Rounders, Ocean’s Thirteen, etc.), director, and showrunner (with David Levien) of Billions. The full Q&am...
-
Should I take my company public? Why? If so, when and how? In this post, I’ll demystify these questions and provide a framework for answering them.
-
This post is all about network effects and critical mass. But it’s also about applying those concepts as important mental models in business, so I will share a short story about a business decision I once made that req...
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Here at a16z, we treat “big data” and “machine learning” as connected activities. People have been talking about the need for more ‘analysis’ and insight in big data, which is obviously important, bec...