Dynatrace

OCTOBER 1, 2019

IT performance problems increase with cloud-native architectures. million in 2018. 76% said they don’t have complete visibility into application performance in cloud-native architectures. 76% said they don’t have complete visibility into application performance in cloud-native architectures. Shocking right?

Cloud 216

Cloud Artificial Intelligence Serverless Government 216

O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Exhibit A: Java-related usage dropped by a noteworthy 13% between 2018 and 2019.

Software Architecture 132

Software Architecture DevOps Data Engineering Architecture 132

Abhishek Tiwari

DECEMBER 27, 2017

There are several emerging data trends that will define the future of ETL in 2018. In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. Event-driven data flow architecture.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

ACM Sigarch

APRIL 26, 2018

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

O'Reilly

APRIL 23, 2024

Google, for example, invented the Large Language model architecture that underlies today’s disruptive AI startups. The company itself is also harmed, as even its own innovations may be held back in order to protect lucrative existing lines of business.

Social Media 106

Social Media Google Internet Internet 106

O'Reilly

MARCH 2, 2020

The most important is discovering how to work with data science and artificial intelligence projects. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. ML + AI are up, but passions have cooled.

Artificial Intelligence 20

Artificial Intelligence Software Architecture Programming Infrastructure 20