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 Cloud 363

Dynatrace

JANUARY 12, 2021

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. When hundreds to thousands of alerts come in at once, it is nearly impossible for teams to establish which ones are relevant.

Monitoring 246

Monitoring Artificial Intelligence DevOps Serverless 246

Dynatrace

JULY 18, 2022

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. Dynatrace news. Then, it can combine them with additional monitoring data specific to Dynatrace.

Artificial Intelligence 246

Artificial Intelligence Open Source Analytics Monitoring 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. This open source framework stores and processes large sets of structured and unstructured data. Apache Spark. Dynatrace Grail.

Analytics 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

MAY 2, 2024

blog Generative AI is an artificial intelligence model that can generate new content—text, images, audio, code—based on existing data. Generative AI in IT operations – report Read the study to discover how artificial intelligence (AI) can help IT Ops teams accelerate processes, enable digital transformation, and reduce costs.

Artificial Intelligence 264

Artificial Intelligence Cloud Best Practices DevOps 264

Dynatrace

APRIL 26, 2022

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. That’s where AIOps comes in.

Cloud 246

Cloud Artificial Intelligence DevOps Scalability 246

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. As cloud-native technologies evolve, organizations layer in more tools and open source solutions to solve specific problems and provide specific benefits.

Artificial Intelligence 325

Artificial Intelligence Cloud Innovation Strategy 325

Dynatrace

OCTOBER 4, 2022

This decoupling ensures the openness of data and storage formats, while also preserving data in context. 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.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

MARCH 16, 2021

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. What is AIOps and what are the challenges? Which alerts demand priority response, and which can wait?

Artificial Intelligence 262

Artificial Intelligence Open Source Cloud Analytics 262

Dynatrace

NOVEMBER 22, 2021

Having recently achieved AWS Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category for its use of the AWS platform, Dynatrace has demonstrated success building AI-powered solutions on AWS. But teams need automatic and intelligent observability to realize true AIOps value at scale.

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

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 245

Artificial Intelligence DevOps Performance Games 245

Dynatrace

OCTOBER 2, 2023

Many organizations also find it useful to use an open source observability tool, such as OpenTelemetry. As an AI-driven, unified observability and security platform, Dynatrace uses topology and dependency mapping and artificial intelligence to automatically identify all entities and their dependencies.

Architecture 278

Architecture Artificial Intelligence Cloud Open Source 278

O'Reilly

MARCH 11, 2025

Finally, the most important question: Open source software enabled the vast software ecosystem that we now enjoy; will open AI lead to an flourishing AI ecosystem, or will it still be possible for a single vendor (or nation) to dominate? Many of these models will be open, to one extent or another.

Artificial Intelligence 63

Artificial Intelligence Infrastructure Government Open Source 63

Dynatrace

DECEMBER 22, 2021

The open-source observability framework, OpenTelemetry , provides a standard for adding observable instrumentation to cloud-native applications. It must provide analysis tools and artificial intelligence to sift through data to identify and integrate what’s most important.

Artificial Intelligence 245

Artificial Intelligence Metrics Architecture DevOps 245

O'Reilly

NOVEMBER 19, 2024

The popular open source libraries and most of the vendor solutions promote a general notion that the “graph” in GraphRAG gets generated automatically by an LLM. This is shown in the following: A set of open source tutorials serve as a reference implementation for this approach.

Open Source 127

Open Source Healthcare Database Entertainment 127

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.

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

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)? The internet protocols helped keep the internet open instead of closed.

Social Media 127

Social Media Artificial Intelligence Innovation Logistics 127

Dynatrace

JUNE 1, 2021

Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services. Digital teams use APM tools to view and address the many variables that can impact an application’s performance.

Monitoring 165

Monitoring Mobile Social Media Infrastructure 165

O'Reilly

APRIL 4, 2024

In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments. As Mike Loukides points out , “Smaller startups…will be priced out, along with every open-source effort. But those investments demand commensurately large returns.

Artificial Intelligence 94

Artificial Intelligence Open Source Innovation Transportation 94

Testsigma

JANUARY 7, 2022

Another software testing trend to watch out for in 2022 is artificial intelligence(AI) and machine learning(ML). All this implementation of artificial intelligence has been primarily into the development field. Such artificial intelligence practices can improve the quality of processes and save time.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

Dynatrace

MAY 4, 2023

During a Perform 2023 conference session, Christian Schwarzbauer, fellow product architect at Dynatrace, and Gerhard Byrne, senior product manager at Dynatrace, explored the role of intelligent automation in DevSecOps and three ways teams can converge automation and security and avoid DevSecOps silos.

DevOps 246

DevOps Speed Innovation Code 246

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). Open source models are a large and diverse group.

Open Source 137

Open Source Google Artificial Intelligence Infrastructure 137

O'Reilly

FEBRUARY 13, 2024

Smaller startups (including companies like Anthropic and Cohere) will be priced out, along with every open source effort. Open source AI has been the victim of a lot of fear-mongering lately. Yes, open source will be used irresponsibly—as has every tool that has ever been invented.

Open Source 134

Open Source Strategy Government Tuning 134

O'Reilly

AUGUST 8, 2023

Searches for Artificial Intelligence appear to be holding their own, though it’s surprising that there are so few searches for AI compared to Machine Learning. Or should they start with an open source model that can run locally and be trained for their specific application?

Artificial Intelligence 98

Artificial Intelligence Programming Open Source Games 98

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 Blockchain 80

O'Reilly

JUNE 14, 2024

And Miso had already built an early LLM-based search engine using the open-source BERT model that delved into research papers—it could take a query in natural language and find a snippet of text in a document that answered that question with surprising reliability and smoothness.

Open Source 119

Open Source Media Tuning Engineering 119

O'Reilly

JUNE 18, 2024

Only the most deep-pocketed AI companies will be able to afford pre-emptive payments for the most valuable content, which will deepen their competitive moat with regard to smaller developers and open source models. Imagine with me, for a moment, a world of AI that works much like the World Wide Web or open source systems such as Linux.

Social Media 145

Social Media Media Open Source Traffic 145

O'Reilly

JUNE 18, 2024

Digital Green solves this problem through FarmStack , a secure open source protocol for opt-in data sharing. All sources of data, including farmers and government agencies, choose what data they want to share and how it is shared. Finally, Farmer.Chat and FarmStack are both open source.

Social Media 127

Social Media Open Source Government Azure 127

Adrian Cockcroft

NOVEMBER 30, 2020

smoky from wildfires I’ve recently become involved with the new Linux Foundation Open Source Climate Finance organization ( OS-Climate ). I’m helping manage AWS contributions to the project, as we build an open source data lake and analysis service that can be used to model climate related asset risks for investors.

AWS 52

AWS Artificial Intelligence IoT Open Source 52

O'Reilly

MARCH 23, 2023

GPT-2 is open source. GPT-3 and GPT-4 are not open source, but are available for free and paid access. Facebook released a previous model, OPT-175B , to the open source community. BLOOM An open source model developed by the BigScience workshop. with specialized training. GPT-2, 3, 3.5,

Google 139

Google Open Source Programming Code 139

Testsigma

MAY 15, 2021

The artificial intelligence algorithm paces up the automation test creation very easily (up to 5 times as claimed by Testsigma ). Features : Perfecto Scriptless makes use of artificial intelligence to adjust the test cases, automatically, when a change occurs which is a plus point during the automation of complex angular applications.

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

Percona

DECEMBER 14, 2023

Will 2023 be called the year of Generative Artificial Intelligence (AI)? Percona’s experts can maximize your application performance with our open source database support, managed services, or consulting. Interesting time indeed, we’re eyewitnesses to something that started changing our world. Get in touch

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Database Artificial Intelligence Servers Operating System 107

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.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

O'Reilly

MARCH 18, 2025

The subsurface knowledge also included legal concerns like intellectual property (IP), which dovetailed with open source licenses And so on. Then there was the need for separate dev, QA, and production runtime environments, each of which called for their own hardware. That led to we need to hire people to do QA and manage ops.

Best Practices 52

Best Practices Java Software Software 52

O'Reilly

JUNE 11, 2024

Most of the models we use are small, open source models. This process has two purposes: it minimizes hallucination and the data sent to the model answering the question; it minimizes the context required. The more context that’s required, the longer it takes to get an answer, and the more it costs to run the model.

Design 136

Design Open Source Database Programming 136

Enprowess

MAY 10, 2018

As Artificial intelligence and Machine learning are in action now, there are various APIs and libraries available with Java too. Let’s look at TensorFlow – TensorFlow is an open source software library for machine learning, developed by Google and currently used in many of their projects.

Artificial Intelligence 40

Artificial Intelligence Open Source Google Java 40