Towards AI

AUGUST 10, 2023

Today, a similar dynamic is playing out in the world of large language models (LLMs) and cloud computing. But much like the Razr, access to the most advanced models is limited to specific cloud platforms. This article explores how major cloud providers are navigating the AI gold rush and using exclusivity to their advantage.

Azure 98

Azure AWS AI AI 98

Becoming Human

MAY 11, 2023

Cloud Computing: Cloud computing platforms like Amazon Web Services (AWS) and Microsoft Azure can be used to provide the necessary computational resources and infrastructure for deploying and scaling machine learning models.

Machine Learning 78

Machine Learning Machine Learning Cloud Computing DataOps 78

Hacker News

FEBRUARY 8, 2024

This post is dedicated to the memory of Niklaus Wirth , a computing pioneer who passed away 1 January 2024. In 1995 he wrote an influential article called “ A Plea for Lean Software ,” published in Computer , the magazine for members of the IEEE Computer Society, which I read early in my career as an entrepreneur and software developer.

Azure 181

Azure Cloud Computing AWS Python 181

Becoming Human

MAY 15, 2023

Things to learn: GitHub Actions , Jenkins Cloud Cloud computing refers to the delivery of computing services over the Internet, providing scalable and flexible resources to businesses and individuals. Microsoft Azure is a cloud platform that offers a range of services, including computing, storage, and databases.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

ODSC - Open Data Science

JULY 11, 2023

This interaction is described in my upcoming article in CXOTech Magazine. Cloud data centers: These are data centers owned and operated by cloud providers, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and provide a range of services on a pay-as-you-go basis. Not a cloud computer?

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

ODSC - Open Data Science

JULY 20, 2023

Those issues included descriptions of the types of data centers, the infrastructure required to create these centers, and alternatives to using them, such as edge computing and cloud computing. The utility of data centers for high performance and quantum computing was also described at a high level.

AI 52

AI AI Cloud Computing Data Scientist 52