Dynatrace

APRIL 22, 2024

DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale. It includes questions relating to vulnerability prioritization, attack detection and response, application testing, and other central aspects of security.

DevOps 195

DevOps Artificial Intelligence Government Innovation 195

Dynatrace

NOVEMBER 2, 2022

According to Dynatrace research, 89% of CIOs said digital transformation accelerated over the course of 2020 , and 58% predicted it will continue to speed up. Autonomous testing. As teams develop software more quickly, they can’t rely on manual methods to test applications. The five elements of digital immunity.

Software 205

Software Software Artificial Intelligence DevOps 205

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. A huge advantage of this approach is speed. Dynatrace news. But what is AIOps, exactly? What is AIOps?

Artificial Intelligence 221

Artificial Intelligence DevOps Innovation Metrics 221

Dynatrace

JUNE 1, 2022

Many of these libraries have not been adequately tested before deployment. Moreover, 51% of respondents say that the speed of modern software delivery makes it easier for vulnerabilities to re-enter production after they have been resolved. Ultimately, mature DevSecOps practices may speed code development rather than block it.

Artificial Intelligence 189

Artificial Intelligence Java Strategy Cloud 189

Dynatrace

MAY 17, 2023

The technology lets people learn about solutions by typing questions into a search bar, such as, “How do I import and export test cases between my environments?” Achieving this precision requires another type of artificial intelligence: causal AI. and “What’s the best way to integrate this solution with my toolchain?”

Innovation 269

Innovation Software Software Artificial Intelligence 269

DZone

MARCH 12, 2021

Thunderhead is the recognized global leader in the Customer Journey Orchestration and Analytics market. The ONE Engagement Hub helps global brands build customer engagement in the era of digital transformation. Thunderhead provides its users with great insights into customer behavior.

Speed 243

Speed Analytics Artificial Intelligence Development 243

Testsigma

MAY 15, 2021

As the complexities of the software applications increased, the need for software testing became more and more apparent. That was when Manual testing of software applications came into being. Soon, when the software was big and hefty, manual testing became a hectic and time-consuming job too.

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. But before that new code can be deployed, it needs to be tested and reviewed from a security perspective.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

Dynatrace

OCTOBER 30, 2023

Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach. This integrated approach represents significant time savings, drastically reducing MTTI and speeding mean time to resolution (MTTR).

Best Practices 253

Best Practices Analytics Artificial Intelligence Infrastructure 253

Alex Podelko

DECEMBER 19, 2019

System Performance Estimation, Evaluation, and Decision (SPEED) by Kingsum Chow, Yingying Wen, Alibaba. Solving the “Need for Speed” in the World of Continuous Integration by Vivek Koul, Mcgraw Hill. How Website Speed affects your Bottom Line and what you can do about it by Alla Gringaus, Rigor. by Stefano Doni, Akamas.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

MAY 4, 2023

Integrating security into development and operations frameworks also improves testing, validation, and distribution practices with a continual feedback loop. Two factors play a role in this challenge: specificity and speed. Speed, meanwhile, is a shared problem that paradoxically leads to silos.

DevOps 222

DevOps Speed Innovation Open Source 222

Testsigma

DECEMBER 8, 2019

In this article, we will be talking about the technologies and techniques that are expected to become test automation trends in 2020. The highlights of the top test automation trends that we will be discussing in this article are: Integration of Automation of different processes to enable improved and enhanced end to end automation for eg.

IoT 78

IoT Software Software Artificial Intelligence 78

Testsigma

DECEMBER 21, 2020

As the world moves forward, it wants to progress, more efficiency, more speed, and the same is the case with the software development industry. Software Testing being a major part of software development also needs more efficiency. There are plenty of regression testing automation tools available in the market today. Scriptless.

Artificial Intelligence 52

Artificial Intelligence Testing Testing Tools Efficiency 52

Testsigma

JULY 14, 2020

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

Dynatrace

NOVEMBER 15, 2021

Whether a situation arises during development, testing, deployment, or in production, it’s important to work with a solution that can detect conditions in real-time so teams can troubleshoot issues before they slow down development or impact customers. Use cases for log monitoring and log analytics.

Analytics 218

Analytics Monitoring Artificial Intelligence DevOps 218

O'Reilly

OCTOBER 18, 2022

In particular, NIST’s SP1270 Towards a Standard for Identifying and Managing Bias in Artificial Intelligence , a resource associated with the draft AI RMF, is extremely useful in bias audits of newer and complex AI systems. When that data is used to train an AI system, that system can replicate our bad behavior with speed and scale.

Artificial Intelligence 115

Artificial Intelligence Government Healthcare Metrics 115

Testsigma

JULY 13, 2021

In this article, we will focus on what NLP is all about and how it is useful for Smart Test Automation. Natural Language Processing (NLP) refers to a branch of Computer Science, or in more simple words, let us say it refers to a branch of Artificial Intelligence (AI). Smart Test Automation. What is NLP?

Testing 52

Testing Artificial Intelligence Processing Programming 52

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. See Dynatrace for yourself – take test drive with our free trial. Dynatrace news. There are many other areas where AI plays a powerful role.

AWS 147

AWS Cloud Artificial Intelligence Innovation 147

Testsigma

JANUARY 7, 2022

For simplicity, I have divided this post into two different sections – technical and management – how Testsigma, a completely cloud-based test automation tool , supports team members in both these domains while they work from home. This can slow down the process and delay the test results. Technical capabilities.

Testing 52

Testing Social Media Artificial Intelligence Cloud 52

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

O'Reilly

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Programmers have always developed tools that would help them do their jobs, from test frameworks to source control to integrated development environments. Only 4% pointed to lower head counts.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

Enprowess

MAY 10, 2018

As Artificial intelligence and Machine learning are in action now, there are various APIs and libraries available with Java too. Note: inception5h contains trained model from google and it is test on around 2000+ images (I guess). Offline employ batch normalization to speed up training of the model. Post by, Vipul Dave.

Artificial Intelligence 52

Artificial Intelligence Open Source Google Java 52

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Dotcom-Montior

JUNE 15, 2020

The firewall’s artificial intelligence (AI) technology analyzes website keywords and meta tags then whitelists or blacklists the URL or IP address. Websites and apps that are allowed to be used in China can be accessed at a very fast speed, up to the recent 5G (20Gbps) upgrade. HTTP/S Certificate Filtering.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52