Clouded Judgement

JUNE 19, 2024

GCP data is a bit more noisy as they don’t disclose GCP itself, but rather Google Cloud which includes GSuite. Their ongoing revenue can “fund” new logo acquisition and allow the business to operate profitably at paybacks much larger than what private companies (with smaller ARR bases) can afford.

Cloud 318

Cloud GCP(Google Cloud Platform) Software Azure 318

Intercom, Inc.

JANUARY 24, 2019

It’s less expensive than it’s ever been in terms of actually getting a product to market, whether it’s leveraging platforms like Salesforce or GCP or AWS or Heroku. There are plenty of companies that actually have that initial success. It’s very easy to get something out there and get some initial validation.

Scale 151

Scale Machine Learning Artificial Intelligence Technical Review 151

User Pilot

JULY 28, 2024

Data scientist’s main responsibilities The three responsibility pillars of a data scientist encompass Data Acquisition and Engineering, Data Analysis and Modeling, and Communication and Collaboration. Data acquisition and engineering: Data Extraction : SaaS products generate a ton of user data.

Data 52

Data Technical Review Machine Learning Artificial Intelligence 52

Casey Accidental

FEBRUARY 26, 2024

Bigger swings generally mean a longer amount of time building toward something that could work in the future. Google on GCP? Acquisition is very hard, retention is even harder, and the market seems incredibly small and difficult compared to growing the core business. #3 How much time and money has Meta spent on VR?

Underperforming Technical Team 63

Underperforming Technical Team Scale GCP(Google Cloud Platform) Startup 63

Andreessen Horowitz

SEPTEMBER 25, 2023

Ali: This is why we did the acquisition of Mosaic. It will be like AWS, GCP, and Azure. Can they build a better model themselves for that with their data? Or if they took their data and put it in 1 of the large models, would that always beat what they’re doing? It’s hard and requires a lot of GPUs.

Enterprise 110

Enterprise AI Artificial Intelligence Generative AI 110

User Pilot

JULY 14, 2024

Bonus points : Experience with cloud platforms (AWS, Azure, GCP). Data scientist’s main responsibilities The three responsibility pillars of a data scientist encompass Data Acquisition and Engineering, Data Analysis and Modeling, and Communication and Collaboration. Excellent communication and collaboration skills.

Data 52

Data Technical Review Machine Learning Artificial Intelligence 52