Dynatrace

MARCH 27, 2024

This is further exacerbated by the fact that a significant portion of their IT budgets are allocated to maintaining outdated legacy systems. However, emerging technologies such as artificial intelligence (AI) and observability are proving instrumental in addressing this issue. First, let’s discuss observability.

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Government Network Artificial Intelligence Cloud 177

Dynatrace

FEBRUARY 29, 2024

As digital transformation continues to redefine how the government does business, cloud migrations and artificial intelligence (AI) are playing increasingly indispensable roles. Specifically, we considered how to strike the right balance between embracing these advancements and safeguarding systems, data, and users.

Government 193

Government Innovation Artificial Intelligence Small Business 193

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

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Artificial Intelligence Cloud Best Practices DevOps 251

Scalegrid

JANUARY 11, 2024

What does it take to secure your cloud assets effectively? Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure.

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Best Practices Cloud Monitoring Strategy 130

Dynatrace

JULY 7, 2022

But as IT teams increasingly design and manage cloud-native technologies, the tasks IT pros need to accomplish are equally variable and complex. In multicloud environments, IT teams often struggle to take timely action given a deluge of data and alerts for issues ranging from system performance, security risks, and application problems.

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Artificial Intelligence Automotive DevOps Infrastructure 204

Dynatrace

OCTOBER 4, 2023

Business resilience is when organizations have systems and processes in place to protect against unforeseen shocks and build organizational agility. Certain technologies can support these goals, such as cloud observability , workflow automation , and artificial intelligence. What is business resilience?

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Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

DECEMBER 13, 2023

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. Composite AI combines generative AI with other types of artificial intelligence to enable more advanced reasoning and to bring precision, context, and meaning to the outputs that generative AI produces.

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Technology Technology Artificial Intelligence Analytics 227

Dynatrace

JANUARY 5, 2023

These are precisely the business goals of AIOps: an IT approach that applies artificial intelligence (AI) to IT operations, bringing process efficiencies. AIOps, together with an observability platform, can enable organizations to precisely identify the root cause of cloud application performance and security issues.

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Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. More generally, causal AI can contribute to explainable and fair AI systems. Government.

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Artificial Intelligence Healthcare Retail Government 232

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The IT help desk creates a ticketing system and resolves service request issues. So, what is ITOps?

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Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

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DevOps Engineering Artificial Intelligence Infrastructure 214

Dynatrace

JANUARY 16, 2020

In part one, we began our discussion about intellectual debt by pointing out how machine learning systems contribute to the widening gap between what works and our understanding of why it works. We concluded by suggesting that the fuzziness of machine learning systems presents a fundamental problem for autonomous IT operations.

Cloud 162

Cloud Artificial Intelligence Virtualization Efficiency 162

Dynatrace

NOVEMBER 22, 2021

In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

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Dynatrace

FEBRUARY 10, 2022

Observability and AIOps help drive automated delivery and operations processes. The Dynatrace artificial intelligence engine, Davis , and our Cloud Automation module adaptively trigger these solutions during required steps in the SDLC. Dynatrace Cloud Automation ensures automation for the entire SDLC. LaunchDarkly.

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Artificial Intelligence DevOps Azure Cloud 242

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. The range of use cases for automating IT is as broad as IT itself.

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Artificial Intelligence Tuning Strategy Big Data 213

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. This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments.

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Dynatrace

MARCH 22, 2023

In today’s complex multicloud environments, ensuring that your cloud applications are protected and secure is critical. The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services.

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Open Source Artificial Intelligence Internet Internet 222

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

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Performance DevOps Innovation Artificial Intelligence 210

Dynatrace

FEBRUARY 1, 2024

The second use case involves a security engineer who becomes aware of a new threat and wants to know if any of the organization’s systems might be affected. The complexity of modern cloud environments necessitates broad and deep observability into every layer of the tech stack to mitigate risk and deliver software quickly and securely.

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Artificial Intelligence Analytics Efficiency Database 210

VoltDB

OCTOBER 17, 2024

The automotive industry is characterized by complex supply chains, intricate production processes, and stringent quality requirements. Production Optimization Optimizing production processes is essential for improving efficiency and reducing costs. What Makes the Automotive Industry Ripe for Real-Time Data Decisioning?

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Automotive IoT Energy Artificial Intelligence 52

Dynatrace

NOVEMBER 8, 2021

Here’s a brief primer on APM and how it has changed for cloud-native environments, and some tips on what to look for in modern APM solutions. Organizations use APM to ensure system availability, optimize service performance and response times, and improve user experiences. APM solutions: A primer. How to evaluate APM solutions.

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Artificial Intelligence Monitoring Infrastructure Cloud 244

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It removes much of the guesswork of untangling complex system issues and establishes with certainty why a problem occurred. That’s where causal AI can help. Causal AI is particularly effective in observability. Timeliness.

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Government Analytics Benchmarking Storage 224

Dynatrace

DECEMBER 16, 2019

And while the concept is not new, the disruptions of cloud transformation and increasing time-to-market pressures shine a bright light on its many downsides. Commonly applied to development processes, technical debt accrues overtime when we choose an inefficient path of least resistance. Dynatrace news.

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Artificial Intelligence Traffic Efficiency Innovation 161

Dynatrace

NOVEMBER 20, 2020

We are excited to announce that Dynatrace has been named a Leader in the Forrester Wave™: Artificial Intelligence for IT Operations (AIOps), 2020 report. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics. Dynatrace news. A radically different approach to AIOps.

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Artificial Intelligence Serverless Analytics Innovation 269

Testsigma

MAY 15, 2021

Hence, we add another dish to our menu which could speed up the process of automation: scriptless automation and scriptless testing tools. And therefore, even business partners and stakeholders can contribute to the test automation process. Just sign up and test your application based on angular on any other technology on the cloud.

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Testing Tools Artificial Intelligence Testing Programming 52

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

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Dynatrace

JANUARY 6, 2020

We also made the point that machine learning systems can improve IT efficiency; speeding analysis by narrowing focus. For machine learning systems, intermittent problems are particularly challenging. Without consistency in the data, the system needs to look harder for possible causes. I’ve picked one. The result?

Artificial Intelligence 155

Artificial Intelligence Efficiency Analytics Innovation 155

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

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Storage Systems Big Data Azure 130

Scalegrid

JANUARY 8, 2024

Confused about multi-cloud vs hybrid cloud and which is the right strategy for your organization? Multicloud harnesses diverse cloud services to boost flexibility, while hybrid cloud merges public and private clouds for enhanced control. What is Multi-Cloud? But what do these entail?

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Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 26, 2022

As more organizations turn to application containerization, managing the tasks and processes that come with containers becomes critical. To combat Kubernetes complexity and capitalize on the full benefits of the open-source container orchestration platform, organizations need advanced AIOps that can intelligently manage the environment.

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Cloud Artificial Intelligence DevOps Scalability 241

ACM Sigarch

APRIL 26, 2018

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. BPU: Brain Processing Unit is the design of the AI chips by Horizon Robotics. They unveiled their first two embedded AI chips fabricated with TSMC 40nm process in December 2017: “Journey 1.0 TFLOPS FP-64, 14.8

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Hardware Artificial Intelligence Architecture Google 99

All Things Distributed

SEPTEMBER 4, 2017

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Secondly, there is enough affordable computing capacity in the cloud for companies and organizations, no matter what their size, to use intelligent applications. Artificial intelligence helps to satisfy the customer.

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Artificial Intelligence Transportation Education Airlines 139

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.

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Artificial Intelligence Social Media Logistics AWS 76

Official Blog - World Web Technology

NOVEMBER 22, 2023

It simplifies processes, boosts productivity, and delivers bespoke solutions, offering enterprises a competitive advantage and boosting user experiences in a digital-driven environment. Adobe Systems Adobe Systems is the industry standard for creative software solutions. WebCodeGenie WebCodeGenie Technology Pvt.

Software 59

Software Software Development Innovation 59

O'Reilly

SEPTEMBER 12, 2023

OS X, which used to trumpet “It just works,” has evolved to “it used to just work”; the most user-centric Unix-like system ever built now staggers under the load of new and poorly thought-out features. Most professional programmers work on large systems that can consist of thousands of functions and millions of lines of code.

Software 125

Software Software Development Programming 125

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. This contrasts stochastic AIOps approaches that use probability models to infer the state of systems.

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