Remove Analytics Remove Artificial Intelligence Remove Internet Remove IoT
article thumbnail

Revolutionizing System Testing With AI and ML

DZone

This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools. The digital transformation of businesses involves the adoption of digital technologies to change the way companies operate and deliver value to their customers.

article thumbnail

Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

The surge of the internet of things (IoT) has led to the exponential growth of applications and data processing at the edge. Furthermore, an accelerating digital-centric economy pushes us closer to the edge—processing client data as close to the originating source as possible.

Azure 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321
article thumbnail

Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 166
article thumbnail

Software Testing Trends 2021 – What can we expect?

Testsigma

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. IoT Test Automation. Hyperautomation. billion USD by 2025.