Dynatrace

FEBRUARY 28, 2024

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. In the development environment, you see exactly where in the pipeline security issues exist, and you can address them right there, so it speeds up development,” Fuqua said.

Monitoring 182

Monitoring Artificial Intelligence Performance Healthcare 182

Dynatrace

APRIL 22, 2024

Automation thus contributes to accelerated productivity and innovation across the organization. Development & delivery automation: This section addresses the extent to which an organization automates processes within the software development lifecycle (SDLC), including deployment strategies, configuration approaches, and more.

DevOps 185

DevOps Artificial Intelligence Government Innovation 185

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications. How can organizations use AI observability to optimize AI costs?

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. Instead, as IT pros adopt IT automation and AIOps (or AI for IT operations), IT teams can focus on innovative, high-value tasks that drive better business outcomes. Data explosion hinders better data insight.

Cloud 176

Cloud Artificial Intelligence Innovation Analytics 176

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 211

Artificial Intelligence DevOps Innovation Metrics 211

Dynatrace

FEBRUARY 10, 2022

Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage.

Artificial Intelligence 185

Artificial Intelligence Performance Innovation Speed 185

Dynatrace

JUNE 28, 2021

Reducing downtime, improving user experience, speed, reliability, and flexibility, and ensuring IT investments are delivering on promised ROI across local IT stacks and in the cloud. Leveraging artificial intelligence and continuous automation is the most promising path—to evolve from ITOps to AIOps. The challenge?

Infrastructure 178

Infrastructure Monitoring Artificial Intelligence Open Source 178

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. Instead, as IT pros adopt IT automation and AIOps (or AI for IT operations), IT teams can focus on innovative, high-value tasks that drive better business outcomes. Data explosion hinders better data insight. Read report now!

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. Observability with AWS and beyond.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

JUNE 1, 2022

Vulnerability management continues to be a key concern as organizations strive to innovate more rapidly and adopt cloud-native technologies to achieve their goals. Further, software development in multicloud environments introduces multiple coding languages and third-party libraries. Dynatrace news.

Artificial Intelligence 179

Artificial Intelligence Java Strategy Cloud 179

Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. 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. Dynatrace news.

Artificial Intelligence 284

Artificial Intelligence Cloud Innovation Strategy 284

Dynatrace

DECEMBER 6, 2022

The COVID-19 pandemic accelerated the speed at which organizations digitally transform — especially in industries such as eCommerce and healthcare — as expectations for a great customer experience dramatically increased. Typically, organizations digitally transform because they need to innovate and become more agile.

Strategy 194

Strategy Artificial Intelligence Innovation Healthcare 194

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. A huge advantage of this approach is speed. CloudOps: Applying AIOps to multicloud operations. In this case, it’s a chatty neighbor.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

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. But not all rents are bad.

Social Media 88

Social Media Artificial Intelligence Innovation Logistics 88

Dynatrace

MAY 4, 2023

Many organizations are adopting a DevSecOps approach to software delivery with the goal of accelerating release validation and ensuring frictionless, secure software delivery. But without intelligent automation, they’re running into siloed processes and reduced efficiency.

DevOps 212

DevOps Speed Innovation Open Source 212

Dynatrace

JANUARY 19, 2022

As strained IT, development, and security teams head into 2022, the pressure to deliver better, more secure software faster has never been more consequential. A key arrow in the quiver for game-changers for developing and managing modern software is automatic, intelligent observability. Dynatrace news.

Artificial Intelligence 179

Artificial Intelligence DevOps Performance Games 179

Dynatrace

OCTOBER 30, 2023

Consolidate log management tools into a unified observability platform As businesses increasingly shift toward software-centric models, the number of specialized IT monitoring tools to manage cloud environments has proliferated. and/or its affiliates in the U.S. and internationally and is used herein with permission.

Best Practices 242

Best Practices Analytics Artificial Intelligence Infrastructure 242

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.

AWS 144

AWS Cloud Artificial Intelligence Innovation 144

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. What is log monitoring?

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

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. To break through this barrier to automation, organizations need a single source of software intelligence they can rely on. Here’s how.

Artificial Intelligence 191

Artificial Intelligence Open Source Cloud Analytics 191

Testsigma

DECEMBER 8, 2019

IoT aims to greatly improve the lives of its users but such great innovations also come with great responsibilities. Here, the content hosted on the cloud could be accessed from the nearest cloud instead of a fixed location of the cloud, thus improving the speed and efficiency of executing the hosted test cases and getting the results.

IoT 78

IoT Software Software Artificial Intelligence 78

Scalegrid

JANUARY 12, 2024

Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. Memory Allocation: Allocating sufficient memory linked directly to the assigned CPU ensures effective utilization resulting in better system speed. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

O'Reilly

OCTOBER 31, 2019

It does not mean that cryptography is broken, or that we can achieve general artificial intelligence, or anything of the sort. Quantum computing is useful to speed up a relatively small number of very difficult computational problems that can’t be solved on classical computers. Certainly not now, and possibly never.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

O'Reilly

DECEMBER 2, 2019

High-speed networks through 5G may represent the next generation of cord cutting. Rural connectivity is a persistent problem; many rural users (and some urban users) are still limited to dial-up speeds. We hope you’ll join us at our upcoming events: O’Reilly Software Architecture Conference in New York , February 23-26, 2020.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

O'Reilly

NOVEMBER 28, 2023

Advanced Data Analysis does a decent job of exploring and analyzing datasets—though we expect data analysts to be careful about checking AI’s output and to distrust software that’s labeled as “beta.” We can’t tally and tabulate all the responses, but it’s clear that there’s no shortage of creativity and innovation.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

All Things Distributed

MAY 21, 2018

And artificial intelligence makes it possible to break down tasks in such a way that everyone contributes what he or she can do best. Other companies, such as the Japanese firm Mitsui or the software provider bmc, use Alexa for Business to achieve a more efficient and better collaboration between their employees, among others.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76