Clouded Judgement

JUNE 19, 2024

It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). GCP data is a bit more noisy as they don’t disclose GCP itself, but rather Google Cloud which includes GSuite.

Cloud 315

Cloud GCP(Google Cloud Platform) Software Azure 315

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. Tableau, Power BI).

Data 52

Data Technical Review Machine Learning Artificial Intelligence 52

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. Experience with data visualization tools (e.g.,

Data 52

Data Technical Review Machine Learning Artificial Intelligence 52

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. Just from a platform perspective, we can look at it: everybody knows from the AWS perspective how inexpensive it is to go to market.

Scale 151

Scale Machine Learning Artificial Intelligence Technical Review 151

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