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10 Predictions for Data at the Impact Summit

Tom Tunguz

2020 is the decade of data. Look no further than the massive companies pushing the public & the private market forward: Snowflake, Databricks, Amazon, Azure, Google Cloud. It’s quite possible that data products have created more market cap than any other subsegment of SaaS in the last five years.

Data 282
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Clouded Judgement 2.7.25 - "Group + Triage" AI Systems

Clouded Judgement

These seem like perfect fits for LLM based applicatiosn. Generally you need to aggregate data from a number of places to “group.” Perfect for a LLM! They each have some of the largest cloud businesses in the world in AWS, Azure and Google Cloud respectively. The list goes on. There are so many others.

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Microsoft as a Mirror - What We Can Expect for SaaS in 2023

Tom Tunguz

Below, I’ve listed those trends with data & excerpts from the earnings call transcript. We saw moderated consumption growth in Azure and lower-than-expected growth [elsewhere]. Machine Learning is a Secular Platform Change & a Growth Driver for Software The age of AI is upon us, and Microsoft is powering it.

Azure 256
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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 “Cosmos DB is the go-to database to build AI-powered apps at any scale… Cosmos DB data transactions increased 42% year-over-year.” ” The data point suggests AI workloads could be a massive boon for Mongo.

AI 214
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How Shopify Implements AI Across Sales and Product with Mike Tamir, Head of AI at Shopify, and Rudina Seseri, Managing Partner at Glasswing Ventures

SaaStr

Rudina sees it along three dimensions: Data Infrastructure A culture of adopting AI Where are we heading as we try to adopt AI in the Enterprise? The layout and framework of data, infrastructure, and culture will be even more important as AI shifts to Enterprise. Many people think we have data, so why not build the models?

AI Search 287
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The Rarity Shibboleth

Tom Tunguz

Large language models are wonderful at ingesting large amounts of content & summarizing. Benn Stancil described LLMs as great averagers of information. If I seek the data point two standard deviations out? 1 I haven’t found a way to goad an LLM to produce the rare result.

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From $1M to $3B ARR: Databricks CRO Ron Gabrisko on Scaling a Revenue Rocket Ship

SaaStr

Pricing: Keep It Simple (At First) Databricks started with a simple, consumption-based pricing model. Because thats how their customerswho were used to AWS, Azure, and GCP pricingexpected to buy. So having a consumption-based pricing model makes a ton of sense. For us data consumption continues to grow.”

Scale 176