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The 4 Questions Startups Should Ask Themselves about Building with Generative AI

Tom Tunguz

There are 4 questions a startup should ask themselves about building a startup that uses generative AI. I started with a few sentences, uploaded them to gamma.app to outline the presentation, popped over to Midjourney to generate images along the story line, & published it in IA Presenter.

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AI Reaccelerating Cloud Growth

Tom Tunguz

I’ve been tracking the growth rates of these companies and product lines for the last 18 months to develop a broad gauge of enterprise buying patterns after the downturn. “Because of our overall differentiation, more than 18,000 organizations now use Azure OpenAI service, including new-to-Azure customers.”

AI Search 312
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16 Changes to the Way Enterprises Are Building and Buying Generative AI

Andreessen Horowitz

Generative AI took the consumer landscape by storm in 2023, reaching over a billion dollars of consumer spend 1 in record time. Over the past couple months, we’ve spoken with dozens of Fortune 500 and top enterprise leaders , 2 and surveyed 70 more, to understand how they’re using, buying, and budgeting for generative AI.

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RAG Explained: What Is Retrieval-Augmented Generation?

How To Buy Saas

In a nutshell, RAG lets an AI system look up relevant knowledge from a database or documents while generating an answer, much like an open-book exam. This innovative technique has surged in popularity among SaaS companies and AI developers because it tackles key limitations of standalone LLMs. in addition to simple QA.

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Investing in Wiz

Andreessen Horowitz

As more workloads and data move to the cloud and generative AI takes over the enterprise , cybersecurity is more critical today than ever. Today, more than 50% of Wiz users sit outside the security function, underscoring how development teams have embraced the platform. That’s why people love it.

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Microsoft Dev Box — a better path to provisioning and productivity?

IT World

Microsoft is basically a platform and tools vendor, and it’s particularly good at developing tools largely because it’s made up of developers. This is because, like any job, developers are focused on doing their own jobs and generally aren’t rotated through other positions in a company to better understand what other jobs consist of.

Azure 72
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AI Copilots and the Future of Knowledge Work

Andreessen Horowitz

Microsoft CTO Kevin Scott, in conversation with a16z’s Bob Swan, explains how AI copilots are keeping developers longer in a flow state and why AI copilots more broadly could be the start of an industrial revolution for knowledge work. [00:59] ” These other partners are super important as well.

AI 98