Dynatrace

NOVEMBER 5, 2019

Microsoft offers a wide variety of tools to monitor applications deployed within Microsoft Azure, and the Azure Monitor suite includes several integration points into the enterprise applications, including: VM agent – Collects logs and metrics from the guest OS of virtual machines. Available as an agent installer).

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

Dynatrace

JANUARY 23, 2024

Join us at Dynatrace Perform 2024 , either on-site or virtuall y, to explore these themes further. 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 186

Performance DevOps Energy Innovation 186

Dynatrace

JANUARY 16, 2020

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. Works without training ; the entire system context is captured and updated in real-time, as hosts and processes appear.

Cloud 156

Cloud Artificial Intelligence Virtualization Efficiency 156

Abhishek Tiwari

JULY 8, 2023

The Evolution of Testing and Monitoring Historically, software testing and system monitoring have been separate processes, each serving distinct purposes. This close resemblance to actual usage patterns makes it virtually indistinguishable from traditional testing methods.

Monitoring 52

Monitoring Testing Artificial Intelligence Traffic 52

Tech News Gather

FEBRUARY 20, 2023

Such devices can help to have real-time processing and communication. Enhanced Data Processing. With 5G technology, there have been a lot of improvements seen in the data processing field. Moreover, 5G technology also allows data to be easily processed locally with the help of edge computing instead of sending it to the server.

Mobile 40

Mobile Development Artificial Intelligence IoT 40

All Things Distributed

SEPTEMBER 4, 2017

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Both concepts are virtually omnipresent and at the top of most buzzword rankings. Many are uncomfortable with the idea that an artificial intelligence exists alongside human intelligence. That is understandable.

Artificial Intelligence 149

Artificial Intelligence Transportation Education Airlines 149

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

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 AWS Logistics 79

O'Reilly

JULY 11, 2023

You still have to write prompts, and we’re all in the process of learning that if you want ChatGPT to do a good job, the prompts have to be very detailed. Programming without virtual punch cards. My own sense, from talking to and observing many people over the years, falls into the lower end of that range: 15% to 20%.

Programming 99

Programming Code Design Software 99

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. On-Premises Data Center A hybrid cloud architecture necessitates that an organization retains full authority over its physical or virtual infrastructure within the private cloud segment.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JANUARY 19, 2022

At our virtual conference, Dynatrace Perform 2022 , the theme is “Empowering the game changers.”. Organizations seek to modernize, reduce costs, and adjust to the realities of globalization, increased competition in virtually every industry, and shifts in economic development since the emergence of COVID-19.

Artificial Intelligence 180

Artificial Intelligence DevOps Performance Games 180

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. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

Serverless 244

Serverless Efficiency Lambda Azure 244

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. This applies to both virtual machines and container-based deployments.

Cloud 130

Cloud Storage Virtualization Efficiency 130

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. 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.

Storage 130

Storage Systems Big Data Azure 130

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

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 Artificial Intelligence Monitoring Open Source 179

O'Reilly

NOVEMBER 28, 2023

Users and Nonusers AI adoption is in the process of becoming widespread, but it’s still not universal. Until AI reaches 100%, it’s still in the process of adoption. Automating the process of building complex prompts has become common, with patterns like retrieval-augmented generation (RAG) and tools like LangChain.

Open Source 107

Open Source Google Artificial Intelligence Infrastructure 107

O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. there’s a Python library for virtually anything a developer or data scientist might need to do. Interestingly, R itself continues to decline.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

Official Blog - World Web Technology

MARCH 16, 2023

For example, if you want to add features such as Augmented Reality, Virtual Reality, Artificial Intelligence, and others, costs of creating an app might go up. App Development Cost Breakdown (Stage-Wise) There are various mobile app development stages that complete the whole process.

Development 52

Development Mobile Artificial Intelligence Design 52

Testsigma

SEPTEMBER 28, 2021

Testsigma’s test creation stands on two pillars – natural language processing and artificial intelligence. Natural language processing understands your requirements and recommends the next step while constructing the test cases. It favours the English language when it comes to creating tests on the cloud.

Testing Tools 52

Testing Tools Mobile Testing Artificial Intelligence 52

KeyCDN

MARCH 14, 2019

Customer Service Chatbots Speaking of which, artificial intelligence has evolved to the point that bots can answer customers’ questions and solve problems more efficiently than humans. Also, now that virtual reality is relatively cheap to produce and access, expect more things like road-testing apps from vehicle manufactures.

Development 101

Development Blockchain Serverless Social Media 101

Dynatrace

JUNE 1, 2021

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 a company’s customers and employees. Mobile apps, websites, and business applications are typical use cases for monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

All Things Distributed

MAY 21, 2018

Even the activities of doctors, lawyers or taxi drivers have hardly changed in the last decade, at least in terms of their underlying processes. Only parts of the processes are being performed by machines, or at least supported by them. These new offerings are organized on platforms or networks, and less so in processes.

Artificial Intelligence 77

Artificial Intelligence Technology Technology IoT 77

O'Reilly

OCTOBER 18, 2022

A recent sampling of headlines features sociological bias in generated images , a chatbot , and a virtual rapper. In particular, NIST’s SP1270 Towards a Standard for Identifying and Managing Bias in Artificial Intelligence , a resource associated with the draft AI RMF, is extremely useful in bias audits of newer and complex AI systems.

Artificial Intelligence 116

Artificial Intelligence Government Healthcare Metrics 116

Dynatrace

JANUARY 4, 2024

Artificial intelligence is rapidly transforming the world around us, with applications based on AI emerging in virtually every industry and sector. Users are in control of each phase of Davis AI processing to ensure data privacy, eliminate bias, and promote fairness. Transparent and explainable AI. Trusted data.

Artificial Intelligence 235

Artificial Intelligence Strategy Traffic Virtualization 235