Dynatrace

DECEMBER 16, 2019

And while the concept is not new, the disruptions of cloud transformation and increasing time-to-market pressures shine a bright light on its many downsides. Technical Debt—Dilbert Comic Strip on 2017-01-03. Dynatrace news. Many of us are already familiar with technical debt. Intellectual debt.

Artificial Intelligence 146

Artificial Intelligence Traffic Efficiency Innovation 146

All Things Distributed

JUNE 30, 2017

So much so, that in March 2017, we announced Amazon Connect, which is the result of nearly ten years of work to build cloud-based contact centers at scale to power customer service for more than 50 Amazon teams and subsidiaries, including Amazon.com, Zappos, and Audible. AI has incredible potential in this area.

Artificial Intelligence 128

Artificial Intelligence Lambda AWS Virtualization 128

ACM Sigarch

APRIL 26, 2018

They unveiled their first two embedded AI chips fabricated with TSMC 40nm process in December 2017: “Journey 1.0 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

Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model. What are now-gigantic companies to do when their immense market capitalization depends on rapid growth and the expectation of growing profits to match? These companies did continue to innovate.

Social Media 111

Social Media Google Internet Internet 111

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. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Still cloud-y, but with a possibility of migration.

Software Architecture 136

Software Architecture DevOps Data Engineering Architecture 136

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. Still cloud-y, but with a possibility of migration.

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming Infrastructure 21