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. Selenium-based and hence can leverage open-source modules and Selenium powerful functionalities.

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

Testsigma

DECEMBER 20, 2019

Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. The following are a few examples of functional test automation tools: Quick Test Professional from HP Rational Robot from IBM Selenium, which is an open-source framework. trillion in 2021.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

O'Reilly Software

AUGUST 29, 2018

They’ve identified six areas where technology can make a real difference in disaster preparedness: blockchain, artificial intelligence, logistics, data science, sensor data processing, and visual recognition. See the IBM Code Patterns site for more information.

Code 80

Code Artificial Intelligence Development Logistics 80

Adrian Cockcroft

JUNE 29, 2019

This is different to the question of whether we can figure out how to create artificial intelligence, as I don’t think intelligence is a prerequisite for consciousness, its an attribute of more sophisticated conscious systems that allows us to interact with and view the internal model more directly than observing the raw behavior of the system.

Artificial Intelligence 72

Artificial Intelligence Energy Monitoring Open Source 72

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What Exactly is Greenplum? Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Adrian Cockcroft

JUNE 29, 2019

This is different to the question of whether we can figure out how to create artificial intelligence, as I don’t think intelligence is a prerequisite for consciousness, its an attribute of more sophisticated conscious systems that allows us to interact with and view the internal model more directly than observing the raw behavior of the system.

Artificial Intelligence 52

Artificial Intelligence Energy Monitoring Open Source 52

DZone

NOVEMBER 27, 2021

Modern science- and enterprise-driven Artificial intelligence (AI) and Machine Learning (ML) workflows are not simple to execute given the complexities arising from multiple packages and frameworks often used in any such typical task. What Is NVIDIA NGC?

Artificial Intelligence 246

Artificial Intelligence Open Source Software Software 246

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. ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes. What is IT operations analytics?

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

Dynatrace

OCTOBER 2, 2023

It is better to consider refactoring as part of the application transformation process before migrating, if possible. Many organizations also find it useful to use an open source observability tool, such as OpenTelemetry. An observability platform approach makes it easy to combine both methods.

Architecture 232

Architecture Artificial Intelligence Cloud Open Source 232

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.

Cloud 226

Cloud Artificial Intelligence DevOps Scalability 226

Dynatrace

OCTOBER 4, 2022

Further, it builds a rich analytics layer powered by Dynatrace causational artificial intelligence, Davis® AI, and creates a query engine that offers insights at unmatched speed. As a result, we created Grail with three different building blocks, each serving a special duty: Ingest and process. Ingest and process with Grail.

Artificial Intelligence 268

Artificial Intelligence Analytics Storage Architecture 268

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. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. What is AIOps, and how does it work?

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

O'Reilly

APRIL 23, 2024

They published the original Transformer paper (not quite coincidentally called “Attention is All You Need”) in 2017, and released BERT , an open source implementation, in late 2018, but they never went so far as to build and release anything like OpenAI’s GPT line of services.

Social Media 108

Social Media Google Internet Internet 108

Dynatrace

JANUARY 19, 2022

In contrast, a modern observability platform uses artificial intelligence (AI) to gather information in real-time and automatically pinpoint root causes in context. Utilizing cloud-native platforms, Kubernetes, and open-source technologies requires a radically different approach to application security.

Artificial Intelligence 180

Artificial Intelligence DevOps Performance Games 180

O'Reilly

JANUARY 16, 2024

Whenever I paused for too long, ChatGPT would interpret what I said so far as my request and start processing it. There’s a click sound when it starts processing my request, but then I may need to wait a few seconds in silence before hearing a response … maybe it’s only one second or maybe it’s five seconds.

Entertainment 73

Entertainment Internet Internet Design 73

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

Dynatrace

JANUARY 12, 2021

Yesterday’s monolithic processes used preallocated resources set aside for a specific purpose, provisioned for a specific need. To identify those that matter most and make them visible to the relevant teams requires a modern observability platform with automation and artificial intelligence (AI) at the core.

Monitoring 192

Monitoring Artificial Intelligence DevOps Serverless 192

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

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. 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. But 18% already have applications in production. Or is there still room for growth?

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

JUNE 7, 2022

And that refusal is as important to intelligence as the ability to solve differential equations, or to play chess. Indeed, the path towards artificial intelligence is as much about teaching us what intelligence isn’t (as Turing knew) as it is about building an AGI. It requires two abilities: chess and language.

Artificial Intelligence 145

Artificial Intelligence Games Energy Open Source 145

KeyCDN

FEBRUARY 22, 2023

Source: web.dev 2. 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.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Observability is also a critical capability of artificial intelligence for IT operations (AIOps).

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

MARCH 16, 2021

While some AIOps tools offer significant benefits over manual processes, not all of them can deliver the results organizations expect. To recognize both immediate and long-term benefits, organizations must deploy intelligent solutions that can unify management, streamline operations, and reduce overall complexity. Here’s how.

Artificial Intelligence 192

Artificial Intelligence Open Source Cloud Analytics 192

Percona

DECEMBER 14, 2023

Will 2023 be called the year of Generative Artificial Intelligence (AI)? This streamlined process reduces the risk of errors and simplifies the downgrade procedure. implemented improved data integrity checks during the downgrade process. In summary, the downgrade process in MongoDB 7.0 to previous versions.

Database 86

Database Artificial Intelligence Servers Operating System 86

Dynatrace

DECEMBER 22, 2021

A database could start executing a storage management process that consumes database server resources. In this case, the best option may be to stop the process and execute it when system load is low. It must provide analysis tools and artificial intelligence to sift through data to identify and integrate what’s most important.

Artificial Intelligence 178

Artificial Intelligence Metrics Architecture DevOps 178

O'Reilly

MARCH 23, 2023

While most of the foundation models people are talking about are LLMs, foundation models aren’t limited to language: a generative art model like Stable Diffusion incorporates the ability to process language, but the ability to generate images belongs to an entirely different branch of AI. GPT-2 is open source. GPT-2, 3, 3.5,

Google 104

Google Open Source Programming Code 104

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

O'Reilly

SEPTEMBER 19, 2023

These approaches vary some parameters, run the process a few million times, and give us a nice curve that shows how often the answer is (or, “is not”) close to that $744k. Similarly, Monte Carlo simulations can help us spot trends and outliers in potential outcomes of a process. “Here’s our risk model.

Hardware 99

Hardware Storage Big Data Blockchain 99

O'Reilly

JULY 25, 2023

I guessed that maybe ChatGPT only knew about v2 since it was trained on open-source code from before September 2021 (its knowledge cutoff date) and v2 was the dominant format before that date. And since this setup process was so new to me, I had a hard time thinking about how to phrase my questions.

Programming 98

Programming Code Design Benchmarking 98