Dynatrace

DECEMBER 12, 2023

Artificial intelligence (AI) has revolutionized the business and IT landscape. And now, it has become integral to organizations’ efforts to drive efficiency and improve productivity. For example, 73% of technology leaders are investing in AI to generate insight from observability, security, and business events data.

Artificial Intelligence 203

Artificial Intelligence DevOps Analytics Strategy 203

Testsigma

FEBRUARY 18, 2020

What is Artificial Intelligence? Artificial intelligence works on the principle of human intelligence. Almost all artificial machines built to date fall under this category. Examples: Siri, Alexa, Self-driving cars, Google search. Artificial General Intelligence.

Artificial Intelligence 52

Artificial Intelligence Healthcare Programming Logistics 52

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. And industry watchers have begun to make their technology predictions for 2024.

Technology 200

Technology Technology Artificial Intelligence Analytics 200

Dynatrace

SEPTEMBER 5, 2023

But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value. This enables efficient resource allocation, avoiding unnecessary expenses and ensuring optimal performance. This is just one example of predictive AI in action. Capacity planning.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

DECEMBER 6, 2022

Through it all, best practices such as AIOps and DevSecOps have enabled IT teams to efficiently and securely transform. As the analyst firm noted, organizations increasingly realize that digital capability is at the heart of execution, whether that’s to offer new products and services, minimize risk, or improve operational efficiency.

Strategy 191

Strategy Artificial Intelligence Innovation Healthcare 191

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. In another survey, for example, 85% of respondents said their organizations have increasingly shifted toward creating digital experiences. Autonomous testing. Chaos engineering.

Software 192

Software Software Artificial Intelligence DevOps 192

O'Reilly

APRIL 30, 2024

Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. We’ll see more innovation if emerging AI tools are accessible to everyone, such that a dispersed ecosystem of new firms, start-ups, and AI tools can arise.

Social Media 88

Social Media Artificial Intelligence Innovation Logistics 88

Dynatrace

JULY 6, 2022

Vulnerability management is one example of a DevSecOps workflow that teams should automate to ensure vulnerability scans run regularly. Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. IT automation tools can achieve enterprise-wide efficiency. Read eBook now!

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

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. We are moving into the 2020s and smart integration and automation are driving the next innovation cycle in digital transformation and enterprise software. Dynatrace news.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

Dynatrace

JANUARY 16, 2020

Part two added a few simple examples of how intellectual debt might accrue, highlighting the subtle but real drag on efficiency. One of the fundamental differences between machine learning systems and the artificial intelligence (AI) at the core of the Dynatrace Software Intelligence Platform is the method of analysis.

Cloud 155

Cloud Artificial Intelligence Virtualization Efficiency 155

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

DECEMBER 16, 2019

At some point the debt reaches a tipping point where the high costs of maintenance prevent innovation. Perhaps the most common examples lie in the pharmaceutical world; drugs are sometimes tested and approved based on statistically meaningful outcomes on patients, even though nobody knows how they work. “We Intellectual debt.

Artificial Intelligence 147

Artificial Intelligence Traffic Efficiency Innovation 147

O'Reilly

APRIL 23, 2024

For example, consider drug pricing. Patents—exclusive, government-granted rights intended to encourage innovation—protect pharmaceutical companies from competition and allow them to charge high prices. They are a price that we pay for a rising tide of innovation. What Is Economic Rent? But not all rents represent abuse of power.

Social Media 108

Social Media Google Internet Internet 108

Dynatrace

JANUARY 6, 2020

We also made the point that machine learning systems can improve IT efficiency; speeding analysis by narrowing focus. But with autonomous IT operations on the horizon, it’s important to understand the path to intellectual debt and its impact on both efficiency and innovation.

Artificial Intelligence 144

Artificial Intelligence Efficiency Analytics Innovation 144

Dynatrace

NOVEMBER 8, 2021

Artificial intelligence for IT operations (AIOps) for applications. As the pace of digital transformation continues to accelerate, an APM solution should leverage the full range of technological innovations available and help you to future-proof your business. Application discovery, tracing, and diagnostics (ADTD).

Artificial Intelligence 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

All Things Distributed

SEPTEMBER 4, 2017

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Many are uncomfortable with the idea that an artificial intelligence exists alongside human intelligence. We know that innovative technologies always take off whenever barriers to entry fall for market participants.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

All Things Distributed

DECEMBER 20, 2017

In today's era of global digitalization there are many examples that show that IT does matter. Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Dynatrace

APRIL 22, 2024

Automation thus contributes to accelerated productivity and innovation across the organization. Examples of qualitative questions include: How is automation created at your organization? Intelligent: To reach the intelligent level, automation must be wholly reliable, sophisticated, and ingrained within organizational culture.

DevOps 182

DevOps Artificial Intelligence Government Innovation 182

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. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

Dynatrace

JULY 5, 2022

Artificial intelligence for IT operations (AIOps) uses machine learning and AI to help teams manage the increasing size and complexity of IT environments through automation. Increased business innovation. For example: Greater IT staff efficiency. Therefore, many organizations are evaluating the benefits of AIOps.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

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. Let’s say, for example, an application is experiencing a slowdown in receiving its search requests. Deterministic AI.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Scalegrid

FEBRUARY 8, 2024

It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

OCTOBER 30, 2023

The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

Dynatrace

NOVEMBER 24, 2020

Allowing architectures to be nimble and evolve over time, allowing organizations to take advantage of innovations as a standard practice. Below are a few examples within the five Well-Architected pillars for how Dynatrace empowers you: Dynatrace value within the AWS 5-pillars. AWS 5-pillars. Fully conceptualizing capacity requirements.

AWS 143

AWS Artificial Intelligence Best Practices Lambda 143

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

Dynatrace

NOVEMBER 15, 2021

Log files contain much of the data that makes a system observable: for example, records of all events that occur throughout the operating system, network devices, pieces of software, or even communication between users and application systems. Accelerated innovation. But to determine root causes, logs must be analyzed.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

Tech News Gather

NOVEMBER 5, 2023

These vehicles have the potential to revolutionize the way we commute, offering improved safety, efficiency, and convenience. To address this, innovative solutions must be explored. These transactions enhance transportation efficiency and usher in a new era of revenue generation, reshaping the automotive landscape.

Blockchain 52

Blockchain Automotive Transportation Energy 52

Dynatrace

MAY 4, 2021

million per year just “keeping the lights on,” with 63% of CIOs surveyed across five continents calling out complexity as their biggest barrier to controlling costs and improving efficiency. According to the Dynatrace 2020 Global CIO Report , companies now spend an average of $4.8

Infrastructure 178

Infrastructure Monitoring Artificial Intelligence Cloud 178

Dynatrace

MARCH 16, 2021

To recognize both immediate and long-term benefits, organizations must deploy intelligent solutions that can unify management, streamline operations, and reduce overall complexity. Here’s how. What is AIOps and what are the challenges? What are the benefits of AIOps tools?

Artificial Intelligence 189

Artificial Intelligence Open Source Cloud Analytics 189

O'Reilly

NOVEMBER 28, 2023

47% are using it specifically to generate marketing copy, and 56% are using it for other kinds of copy (internal memos and reports, for example). Those applications will be built soon; tldraw is a very early example of what they might be. Is generative AI the answer? Perhaps not yet. We’d like to see more companies test for fairness.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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). Advantages can be harnessed in terms of execution efficiency as well as realizing immersive VR usages for example. Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54

Dynatrace

JUNE 1, 2021

According to Gartner , “Application performance monitoring is a suite of monitoring software comprising digital experience monitoring (DEM), application discovery, tracing and diagnostics, and purpose-built artificial intelligence for IT operations.” Increased time spent on innovation. Better user experiences.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

All Things Distributed

MAY 21, 2018

Studies by the German ZEW Center for European Economic Research, for example, have found that companies that invest in digitalization create significantly more jobs than companies that don't. Many of the tasks carried out by people in manufacturing, for example, have remained similar over time in terms of the workflows.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

Testsigma

DECEMBER 8, 2019

IoT or Internet of Things is an example of that. IoT aims to greatly improve the lives of its users but such great innovations also come with great responsibilities. An example of autonomous automation testing tool is test.ai Automation using Artificial Intelligence(AI) and Machine Learning(ML). DevTestOps.

IoT 78

IoT Software Software Artificial Intelligence 78