Dynatrace

NOVEMBER 20, 2023

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more.

AWS 213

AWS Artificial Intelligence Analytics Cloud 213

Dynatrace

JANUARY 26, 2021

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Connecting edge services in the cloud (for example, AWS for the Edge ). Pay Per Use.

Serverless 245

Serverless Efficiency Lambda Azure 245

O'Reilly

DECEMBER 2, 2019

I don’t need more bandwidth for video conferences or movies, but I would like to be able to download operating system updates and other large items in seconds rather than minutes. O’Reilly Artificial Intelligence Conference in San Jose , March 15-18, 2020. At a gigabit, you don’t have to think twice.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

O'Reilly

NOVEMBER 28, 2023

How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises? Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. But they may back off on AI development.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

All Things Distributed

MAY 21, 2018

And artificial intelligence makes it possible to break down tasks in such a way that everyone contributes what he or she can do best. Companies like C-SPAN show how: scores of people would have to scan video material for hours in order to create keywords, for example, according to a person's name.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

O'Reilly

MARCH 23, 2023

Facebook/Meta’s LLaMA, which is smaller than GPT-3 and GPT-4, is thought to have taken roughly one million GPU hours to train, which would cost roughly $2 million on AWS. We see our worst features reflected in our ideas about artificial intelligence, and perhaps rightly so. The relevant section starts at 20:40 of this video.

Google 104

Google Open Source Programming Code 104