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?

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

JANUARY 18, 2024

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations.

Artificial Intelligence 209

Artificial Intelligence Healthcare Government Technology 209

Dynatrace

MAY 2, 2024

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 226

Artificial Intelligence Cloud Best Practices DevOps 226

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Therefore, the integration of predictive artificial intelligence (AI) in the workflows of these teams has become essential to meet service-level objectives, collaborate effectively, and boost productivity.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. 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. Technology prediction No.

Technology 200

Technology Technology Artificial Intelligence Analytics 200

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. Armed with this data, the developer can then change the query to ask for the statements over a period (for example, the previous week). In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

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. Chaos engineering. Auto-remediation.

Software 192

Software Software Artificial Intelligence DevOps 192

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. This is one example of the many use cases we’re exploring.

Innovation 256

Innovation Software Software Artificial Intelligence 256

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.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

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

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. AI data analysis can help development teams release software faster and at higher quality.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

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. Nevertheless, this integration can present certain challenges to organizations.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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. Part two added a few simple examples of how intellectual debt might accrue, highlighting the subtle but real drag on efficiency.

Cloud 155

Cloud Artificial Intelligence Virtualization Efficiency 155

O'Reilly

APRIL 30, 2024

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? But how much greater are the risks for the next generation of AI systems?

Social Media 88

Social Media Artificial Intelligence Innovation Logistics 88

Dynatrace

DECEMBER 16, 2019

Even small amounts of technical debt compound as new code branches from old, further embedding the shortcomings into the system. 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

Artificial Intelligence 147

Artificial Intelligence Traffic Efficiency Innovation 147

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 accurate and precise intelligence is now the type of data that can be trusted to trigger auto-remediation processes proactively. Dynatrace news.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

Dynatrace

SEPTEMBER 3, 2020

AIOps is the terminology that indicates the use of, typically, machine learning (ML) based artificial intelligence to cut through the noise in IT operations, specifically incident handling and management. The above example walks us through and explains how the technical root cause is identified; a CPU spike of another process.

Software 264

Software Software Artificial Intelligence Metrics 264

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. I’ve picked one.

Artificial Intelligence 144

Artificial Intelligence Efficiency Analytics Innovation 144

Dynatrace

NOVEMBER 8, 2021

Organizations use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Artificial intelligence for IT operations (AIOps) for applications. “Observability is an important aspect for managing our infrastructure stack, and Dynatrace helps us do it efficiently.

Artificial Intelligence 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

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.

Storage 130

Storage Systems Big Data Azure 130

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. Artificial intelligence helps to satisfy the customer. That is understandable.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

Tech News Gather

JULY 18, 2023

These apps offer several benefits for both patients and providers including convenience, accessibility, efficiency, and cost-effectiveness. Healthcare web apps improve the quality and efficiency of healthcare services as they bring down costs, and improve patient satisfaction and positive engagement.

Healthcare 52

Healthcare Social Media Development Artificial Intelligence 52

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

ACM Sigarch

APRIL 26, 2018

Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. For example, Nvidia’s Volta-based Quadro GV100 and DGX-2 was just announced at GTC’18. The new GV100 packs 7.4 TFLOPS FP-64, 14.8

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. There is no need to plan for extra resources, update operating systems, or install frameworks. The provider is essentially your system administrator. What is serverless computing?

Serverless 242

Serverless Efficiency Lambda Azure 242

O'Reilly

APRIL 23, 2024

For example, consider drug pricing. Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” These are all astonishing tools for making our limited capacity for attention more efficient.

Social Media 108

Social Media Google Internet Internet 108

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.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

Testsigma

SEPTEMBER 21, 2019

In layman terms, AI or Artificial intelligence is the area of computer science that focuses on making machines “intelligent.” And by intelligence, it means making the system capable of learning and taking decisions like humans. What is AI? Is AI Really important for Software Test Automation?

Software 51

Software Software Testing Artificial Intelligence 51

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. For example, a separate bucket could be used for detailed logs from Dynatrace Synthetic nodes.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

CSS - Tricks

MARCH 13, 2019

That way, the number of obscure edge cases can be reduced and the images can be handled as efficiently as possible. In general, images are either: Dynamic : Dynamic images are uploaded by the audience, having been generated by other events in the system. An example is in the upcoming sections. Below is an example.

Media 72

Media Artificial Intelligence Strategy Open Source 72

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. For example, consider the adoption of a multicloud framework that enables companies to use best-fit clouds for important operational tasks.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

MAY 1, 2023

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example.

Analytics 184

Analytics Artificial Intelligence Big Data Open Source 184

Scalegrid

DECEMBER 21, 2023

With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This starts with a highly efficient ingestion pipeline that supports adding hundreds of petabytes daily. Thus, it can scale massively.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

Scalegrid

MAY 13, 2020

The MPP system leverages a shared-nothing architecture to handle multiple operations in parallel. Typically an MPP system has one leader node and one or many compute nodes. This allows Greenplum to distribute the load between their different segments and use all of the system’s resources parallely to process a query.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. The four stages of data processing.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192