Dynatrace

JANUARY 18, 2024

Explainable AI is an aspect of artificial intelligence that aims to make AI more transparent and understandable, resulting in greater trust and confidence from the teams benefitting from the AI. In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns.

Artificial Intelligence 212

Artificial Intelligence Healthcare Government Technology 212

Dynatrace

JANUARY 26, 2024

From FedRAMP to zero trust and artificial intelligence (AI), the group covered a range of challenges facing public sector organizations today. But up to now, FedRAMP has been viewed as a bottleneck process that delays the delivery of cloud services, which ultimately hurts modernization efforts.

Government 212

Government Artificial Intelligence Innovation Programming 212

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 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. Further, not every business uses AI in the same way or for the same reasons.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

APRIL 29, 2021

Migrating to cloud-based operations from a traditional on-premises networked system also requires artificial intelligence and end-to-end observability of the full software stack. The ECMA has created “cloud teams” to aid in the application monitoring process.

Artificial Intelligence 140

Artificial Intelligence Cloud Monitoring Education 140

Dynatrace

OCTOBER 17, 2023

Artificial intelligence (AI) and IT automation are rapidly changing the landscape of IT operations. Intelligent IT automation Key to intelligent IT automation is the ability to generate accurate answers. AI can help automate tasks, improve efficiency, and identify potential problems before they occur.

Monitoring 226

Monitoring Artificial Intelligence Performance Analytics 226

Dynatrace

NOVEMBER 1, 2022

These metrics help to keep a network system up and running?, Mean time to recovery (MTTR) measures the entire amount of time it takes to get a downed network or system back up and running. The mean time to recovery lifecycle includes more measurements at the beginning and the end of the process. Mean time to recovery.

DevOps 207

DevOps Artificial Intelligence Metrics Network 207

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. Get ready for actionable insights that balance technical depth with practical advice.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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)? We ought to heed Collingridge’s warning that technology evolves in uncertain ways.

Social Media 88

Social Media Artificial Intelligence Innovation Logistics 88

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 144

AWS Cloud Artificial Intelligence Innovation 144

Tech News Gather

FEBRUARY 20, 2023

Introduction With the recent rollout of the 5G network across the world, it is ensured that the mobile industry will revolutionize and the way we interact will completely change. Such devices can help to have real-time processing and communication. Enhanced Data Processing. Lower latency and Faster Speed.

Mobile 40

Mobile Development Artificial Intelligence IoT 40

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

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Tech News Gather

FEBRUARY 15, 2023

Attend industry events or meetups, where you can network with app developers and get a feel for their work. These meetings will give you a chance to learn more about each company’s strengths, capabilities, and processes, as well as get a sense of their team’s culture and communication style.

Development 52

Development Artificial Intelligence Mobile IoT 52

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. The accuracy of the machine learning system’s answers will be artificially inflated. The result?

Artificial Intelligence 145

Artificial Intelligence Efficiency Analytics Innovation 145

Testsigma

DECEMBER 20, 2019

Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. Artificial Intelligence (AI): A brief introduction. Artificial Intelligence (AI) is an interdisciplinary branch of computer science, parts of which have been commercialized.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

Dynatrace

APRIL 23, 2019

With more AI (Artificial Intelligence) entering our lives (both in the personal and in the enterprise space) we need to make sure that we are not repeating the same issues. Today’s example comes from Chad Turner, Dynatrace Certified Associate Network Systems Technician at NYCM. Solution: Service & Process Group Naming Rules.

Artificial Intelligence 112

Artificial Intelligence Mobile Java Processing 112

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

Testsigma

JULY 13, 2021

Natural Language Processing (NLP) refers to a branch of Computer Science, or in more simple words, let us say it refers to a branch of Artificial Intelligence (AI). It is a process with which computers are able to understand the text and the spoken words in the same way as human beings can. What is NLP? Conclusion.

Testing 52

Testing Artificial Intelligence Processing Programming 52

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 188

Analytics Artificial Intelligence Big Data Open Source 188

O'Reilly

SEPTEMBER 12, 2023

That code may take the form of dozens of microservices running as asynchronous processes and communicating over a network. Most professional programmers work on large systems that can consist of thousands of functions and millions of lines of code. What is the overall structure, the overall architecture, of these programs?

Software 122

Software Software Development Programming 122

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 24, 2020

Tracking changes to automated processes, including auditing impacts to the system, and reverting to the previous environment states seamlessly. The ultimate goal of each of these reviews is to identify gaps, quantify risk, and develop recommendations for improving the team, processes, and architecture with each of the five pillars.

AWS 144

AWS Artificial Intelligence Best Practices Lambda 144

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. CloudOps includes processes such as incident management and event management. The four stages of data processing. Aggregate it for alerts.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

O'Reilly

APRIL 23, 2024

Perhaps a more direct way to say this in the context of economic value creation is that companies such as Amazon and Google and Facebook had developed a set of remarkable advances in networked and data-enabled market coordination. But over time, something went very wrong.

Social Media 108

Social Media Google Internet Internet 108

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Leveraging artificial intelligence and continuous automation is the most promising path—to evolve from ITOps to AIOps. Dynatrace news.

Infrastructure 179

Infrastructure Monitoring Artificial Intelligence Open Source 179

Testsigma

JANUARY 7, 2022

QAOps is a term derived by combining the two processes – the DevOps and QA into one. When we fuse QA into the DevOps process the newly integrated process is called QAOps. With QAOps we are incorporating the testing process into DevOps and let QA engineers work with developers while the software is in development.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

Dynatrace

JUNE 1, 2020

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 your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. However, the process of log analysis can become complicated without the proper tools.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

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.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 4, 2022

The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Dynatrace built and optimized it for Davis® AI, the game-changing Dynatrace artificial intelligence engine that processes billions of dependencies in the blink of an eye.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Scalegrid

JANUARY 8, 2024

ScaleGrid offers solutions that address these difficulties by simplifying administration processes in multi-cloud environments and enabling smooth integration among various cloud platforms. Integrating data sources and applications across multiple cloud providers brings about integration hurdles due to the different platforms involved.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

All Things Distributed

DECEMBER 13, 2016

Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example. With AWS, GoSquared can process tens of billions of data points every day from four continents to provide customers with a single view. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Dynatrace

JUNE 1, 2020

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 your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132