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. It may have third-party calls, such as content delivery networks, or more complex requests to a back end or microservice-based application.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Scalegrid

JANUARY 12, 2024

This is sometimes referred to as using an “over-cloud” model that involves a centrally managed resource pool that spans all parts of a connected global network with internal connections between regional borders, such as two instances in IAD-ORD for NYC-JS webpage DNS routing. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

JANUARY 11, 2024

Sophisticated monitoring solutions like Exabeam Fusion SIEM and Fusion XDR provide thorough analysis, behavioral analytics, and automated features to improve the identification of advanced attacks and insider threats. Companies like Palo Alto Networks Cloud Security, Fortinet Cloud, and Trend Micro.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Testsigma

FEBRUARY 12, 2021

From AI to ML, the shifting technology world is constantly innovating and making significant progress. The growing demand for IoT-testing is the government’s gradual acceptance of smart cities’ concept, which is why businesses are keen to incorporate IoT into their networks. Hyperautomation. Autonomous Test Automation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Dynatrace

JANUARY 6, 2020

Well into the third week of analysis, the network admin changed a security parameter in the firewall—to address an unrelated issue—and you can guess what happened: the session drop problem disappeared. You likely have personal stories of accidental successes, of solutions without theory; here’s one of mine.

Artificial Intelligence 145

Artificial Intelligence Efficiency Analytics Innovation 145

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. Increased time spent on innovation. What does APM stand for? Better user experiences.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Testsigma

DECEMBER 20, 2019

Testing continued to evolve, and it took advantage of technology innovations. Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. Artificial Intelligence (AI): A brief introduction. Test automation with AI: The need to embrace innovation.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. 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). interactive AR/VR, gaming and critical decision making).

Wireless 54

Wireless IoT Analytics Architecture 54

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

All Things Distributed

DECEMBER 13, 2016

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Take Peterborough City Council as an example. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

O'Reilly

NOVEMBER 28, 2023

Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. We can’t tally and tabulate all the responses, but it’s clear that there’s no shortage of creativity and innovation. Generative AI will take its place as the ultimate office productivity tool.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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. These new offerings are organized on platforms or networks, and less so in processes. The workplace of the future.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

All Things Distributed

NOVEMBER 30, 2016

in ML and neural networks) and access to vast amounts of data. The power of Alexa in the hands of every developer, without having to know deep learning technologies like speech recognition, has the potential of sparking innovation in entirely new categories of products and services. Summing it all up.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165