SaaStr

FEBRUARY 7, 2025

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. Enterprise sales require a field presence, strategic account management, and a drive to go where your customers are.

Scale 173

Scale Sales Hiring Scaling Revenue 173

SaaStr

JULY 19, 2022

Drift brings Conversational Marketing, Conversational Sales and Conversational Service into a single platform that integrates chat, email and video and powers personalized experiences with artificial intelligence (AI) at all stages of the customer journey.

GCP(Google Cloud Platform) 259

GCP(Google Cloud Platform) Artificial Intelligence Enterprise readiness Azure 259

Clouded Judgement

NOVEMBER 10, 2023

Raw silicon (chips like Nvidia bought in large quantities to build out infra to service upcoming demand). Model providers (OpenAI, Anthropic, etc as companies start building out AI). When they started using large language models from OpenAI, the gross margin on the same product went to -100%!

Cloud 190

Cloud Artificial Intelligence GCP(Google Cloud Platform) AI 190

Andreessen Horowitz

SEPTEMBER 25, 2023

Suddenly, the LLM is spitting out your code or your source. You want to build your own LLM from scratch? They can do it; they’ve done it for large customers. It will be like AWS, GCP, and Azure. Who has the largest LLM? There’s a place for the Cisco routers and for LLM and so on.

Enterprise 110

Enterprise AI Artificial Intelligence Generative AI 110

User Pilot

JULY 28, 2024

However, with the rise of cloud storage and machine learning trends, you may need to handle tasks specific to certain tools, such as: Apply machine learning algorithms to develop predictive models, automate data analysis tasks, and gain deeper insights from complex datasets.

Data 52

Data Azure Data Analysis Machine Learning 52

User Pilot

JULY 28, 2024

This is crucial for building reliable models. Feature Engineering : Data scientists transform raw data into features that are informative for machine learning models. Data analysis and modeling: Customer Segmentation : SaaS companies often have diverse customer bases. Experience with data visualization tools (e.g.,

Data 52

Data Technical Review Machine Learning Artificial Intelligence 52

User Pilot

JULY 14, 2024

Source, clean, and transform large and complex datasets from various sources. Design, develop, and implement machine learning models and statistical analyses to extract meaningful patterns and trends. Proficiency in machine learning algorithms (supervised & unsupervised learning).

Data 52

Data Technical Review Machine Learning Artificial Intelligence 52