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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

Culture Structure You want a culture of checking results and having metrics to evaluate those results from the LLM or a more traditional model. Historically, Cloud platforms like AWS and Azure help with the sporadic needs of renting a GPU for a few hours for training vs. long-term use, which would cost thousands of dollars.

AI Search 287
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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 Small-language models are coming. “We have also built the world’s most popular SLMs, which offer performance comparable to larger models but are small enough to run on a laptop or mobile device.

AI 214
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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. An engineer taught me that of them found rarity of a word across a set of documents. Maybe I haven’t learned how to prompt an LLM well.

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

SaaStr

For context,Ron has an MBA and a master’s in engineering from Stanford. 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. You gotta know the product cold.)

Scale 176
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Startup Best Practices 26 - Choosing Your Startup's Competitive Strategy

Tom Tunguz

The Azure team has built products to leverage that strength. A F500 can simply decide to replicate a local SQL Server instance to cloud Azure instance with a few clicks, and they instantly become a Microsoft Cloud customer. Digital Ocean has developed the best documentation for engineers using cloud platforms.

Startup 100
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Best Data Analysis Software

Neil Patel

Do you have a team of engineers and data scientists who know programming languages like Python, SQL, and R? It’s precisely why companies need to continuously hone their predictive engines and use effective tools to predict the future as accurately as they can. Figure out the technical knowledge of your team.

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Business Intelligence Analyst Career Path

User Pilot

As you advance to this position, you can also choose to transition into a data analyst or BI consultant role depending on your interest: Data Scientist : If you’re passionate about statistics, machine learning, and predictive modeling, you may transition into a data scientist role.