Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

VoltDB

OCTOBER 30, 2024

The process typically includes: Inspection: Regular equipment inspections to identify potential issues. Industrial IoT (IIoT): Sensors and devices provide real-time data, enabling condition-based maintenance and improving insights. How Does Preventative Maintenance Work?

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

Testsigma

JANUARY 7, 2022

2015 saw the trend of scriptless testing and IoT focussed methodologies. QAOps is a term derived by combining the two processes – the DevOps and QA into one. When we fuse QA into the DevOps process the newly integrated process is called QAOps. IoT automation testing. AI and Machine learning-based testing.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

Dynatrace

NOVEMBER 5, 2023

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

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Mobile apps, websites, and business applications are typical use cases for monitoring.

Monitoring 165

Monitoring Mobile Social Media Open Source 165

VoltDB

JUNE 26, 2024

Increased efficiency Leveraging advanced technologies like automation, IoT, AI, and edge computing , intelligent manufacturing streamlines production processes and eliminates inefficiencies, leading to a more profitable operation.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

ACM Sigarch

DECEMBER 6, 2018

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). Orchestrate the processing flow across an end-to-end infrastructure. For many IoT applications involving wireless video sensors (e.g.

Wireless 55

Wireless IoT Analytics Architecture 55

Tech News Gather

FEBRUARY 20, 2023

New Opportunities for smart devices and IOT integration. With the increase in speed and less latency, there are a lot of possibilities that can be explored in the field of the internet of things (IOT) and smart devices. Such devices can help to have real-time processing and communication. Enhanced Data Processing.

Mobile 40

Mobile Development Artificial Intelligence IoT 40

Tech News Gather

FEBRUARY 15, 2023

These meetings will give you a chance to learn more about each company’s strengths, capabilities, and processes, as well as get a sense of their team’s culture and communication style. The company offers services like Mobile App Development, Web Development, Software Development, Salesforce Development, IoT and Artificial Intelligence.

Development 52

Development Artificial Intelligence Mobile IoT 52

Testsigma

DECEMBER 8, 2019

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 Test Automation. IoT or Internet of Things is an example of that. Autonomous Test Automation.

IoT 78

IoT Software Software Testing 78

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. With all of these processes in place, cost optimization is also a high concern for organizations worldwide. IoT Test Automation. Many changes are rendered through automated testing. Hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. Only parts of the processes are being performed by machines, or at least supported by them.

Artificial Intelligence 68

Artificial Intelligence Technology Technology IoT 68

VoltDB

OCTOBER 17, 2024

But real-time data is of little to no value without real-time decisioning – ie, the ability to make complex, intelligent decisions on that data. Indeed, real-time decisioning has become a critical capability for automotive manufacturers looking to stay competitive in the age of AI and IoT.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52