Dynatrace

MARCH 10, 2021

This week Dynatrace achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This accurate and precise intelligence is now the type of data that can be trusted to trigger auto-remediation processes proactively. Dynatrace news. Other vendors have AI?

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

Dynatrace

SEPTEMBER 3, 2020

AIOps is the terminology that indicates the use of, typically, machine learning (ML) based artificial intelligence to cut through the noise in IT operations, specifically incident handling and management. AIOps–one term but two different ball games. Dynatrace news. Traditional AIOps is Slow. Lost and rebuilt context.

Software 264

Software Software Artificial Intelligence Metrics 264

Dynatrace

OCTOBER 14, 2021

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. This contrasts stochastic AIOps approaches that use probability models to infer the state of systems.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. This approach is cumbersome and challenging to operate efficiently at scale. Dynatrace has recognized this problem for some time, and we’ve been working hard to build a radically new approach to addressing it.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

All Things Distributed

DECEMBER 13, 2016

AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. To take advantage of the game-changing opportunities, businesses are looking to blend into the digital world. I have been humbled by just how much our UK customers have been able to achieve using AWS technology so far.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Testsigma

MAY 19, 2021

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . Centralizes the Processes.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

ACM Sigarch

DECEMBER 6, 2018

interactive AR/VR, gaming and critical decision making). As a result of these different types of usages, a number of interesting research challenges have emerged in the domain of visual computing and artificial intelligence (AI). Such models for immersive content generation leads to research in novel system architectures.

Wireless 54

Wireless IoT Analytics Architecture 54

O'Reilly

SEPTEMBER 19, 2023

And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards. Their research has applied evolutionary algorithms to groups that need efficient ways to manage finite, time-based resources such as classrooms and factory equipment. The mess is far from over.

Hardware 99

Hardware Storage Big Data Blockchain 99

O'Reilly

MARCH 23, 2023

It can pretend to be an operating system. Or a text adventure game. But bulk isn’t everything; a lot of work is going into making language models more efficient, and showing that you can get equivalent (or better) performance with fewer parameters. That’s a question the legal system has yet to rule on. It’s much more.

Google 104

Google Open Source Programming Code 104