DZone

JUNE 6, 2023

This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools. This is where software testing comes in. As software systems become more complex, testing becomes more critical than ever.

Artificial Intelligence 130

Artificial Intelligence Systems IoT Testing 130

Dynatrace

NOVEMBER 8, 2021

Artificial intelligence for IT operations (AIOps) for applications. To deliver flawless user experiences, an APM solution should be able to delve into real-user monitoring and synthetic testing, with the ability to replay session-level details. Application discovery, tracing, and diagnostics (ADTD). Insight into business KPIs.

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

Adrian Cockcroft

NOVEMBER 30, 2020

AWS at the edge: Using AWS IoT to optimize Amazon wind farms AES22 ?—?Climate Test drive the Accenture EV roaming platform IOT205 ? Fighting wildfire with artificial intelligence ZWL201 ?—?Scaling charity: water and Twisthink keep water flowing with AWS IoT. OSDU: Reinventing the energy data platform AUT301 ?—?Alexa,

AWS 52

AWS Artificial Intelligence IoT Energy 52

Testsigma

JANUARY 7, 2022

2014 saw the trend of mobile app testing as they were becoming a multi-billion dollar business all over the world. 2015 saw the trend of scriptless testing and IoT focussed methodologies. So the trend of mobile web testing came into the picture. AI and Machine learning-based testing.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

Dynatrace

OCTOBER 1, 2021

Observability is also a critical capability of artificial intelligence for IT operations (AIOps). DevSecOps teams can tap observability to get more insights into the apps they develop, and automate testing and CI/CD processes so they can release better quality code faster. Bring observability to everything.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Testsigma

FEBRUARY 12, 2021

With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Many changes are rendered through automated testing. IoT Test Automation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

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