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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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Standard Issue AI

Tom Tunguz

Calendar Quarter Azure OpenAI Orgs, k CoPilot Users, m Power Platform Orgs, k 1/1/24 53 1.3 “Our own research as well as external studies show as much as 70% improvement in productivity using generative AI for specific work tasks.” ” Compare with ServiceNow’s data that shows engineering gains of 50%.

AI 189
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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

The rise of foundation models and generative AI only furthers this trend. Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). Compute engine (query engine): Performs the actual data retrieval.

Data 130
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AI Copilots and the Future of Knowledge Work

Andreessen Horowitz

Then we’re going to do some work together to figure out how to take those models, those platform building blocks, and get them deployed into products that Microsoft offers, like GitHub Copilot, as well as deploy these things into environments like Azure and Azure OpenAI API, where people can just build their own software on top of it.”

AI 100