CIO

SEPTEMBER 20, 2023

ServiceNow has developed its own domain-specific large language model, Now LLM, to assist with these enterprise workflows, although enterprises can also hook up the new assistants with other commercially available models, or even their own. They’re actually faster, cheaper, and safer.

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DevOps.com

MAY 22, 2024

Microsoft this week added a bevy of tools to its portfolio that infuses generative artificial intelligence (AI) into DevOps workflows.

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DevOps Artificial Inteligence Artificial Intelligence Tools 121

OTS Solutions

JULY 18, 2023

To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? The Key Principles and Importance of DevOps in Enterprise Applications 1.

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CIO

SEPTEMBER 6, 2023

Since ChatGPT’s release in November of 2022, there have been countless conversations on the impact of similar large language models. Developers still need to be able to understand the context and meaning of AI’s answers, as sometimes they are not entirely correct, says Thomas Rudrof, DevOps Engineer at DATEV eG.

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Generative AI Software Review Software Development Artificial Inteligence 293

DevOps.com

JUNE 6, 2023

PagerDuty has signaled its intention to add generative artificial intelligence (AI) capabilities to its cloud platform for managing IT operations via integrations with large language model (LLM) providers that it will disclose at a future date.

Artificial Inteligence 98

Artificial Inteligence Generative AI Artificial Intelligence Cloud 98

OTS Solutions

JULY 18, 2023

To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? The Key Principles and Importance of DevOps in Enterprise Applications 1.

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DevOps Engineering Artificial Inteligence Software Review 130

DevOps.com

DECEMBER 19, 2023

Here are six distinct technology trends that are poised to be particularly influential for DevOps and software development in the new year.

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Artificial Inteligence Machine Learning Trends DevOps 125

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

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Artificial Inteligence Machine Learning DevOps Tools 145

CIO

OCTOBER 25, 2022

To remain resilient to change and deliver innovative experiences and offerings fast, organizations have introduced DevOps testing into their infrastructures. However, introducing DevOps to mainframe infrastructure can be nearly impossible for companies that do not adequately standardize and automate testing processes before implementation.

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Software Review DevOps Testing Artificial Inteligence 261

DevOps.com

NOVEMBER 22, 2022

CircleCI has committed to adding additional collective intelligence capabilities to its continuous integration/continuous delivery (CI/CD) platform that will leverage machine learning and other forms of artificial intelligence (AI) to optimize application development and delivery.

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Artificial Inteligence DevOps Artificial Intelligence Continuous Delivery 145

DevOps.com

MAY 3, 2023

GitLab extended its alliance with Google as part of an effort to bring more generative artificial intelligence (AI) capabilities to DevOps workflows. Over the course of the […] The post GitLab Allies With Google to Bring AI to DevOps appeared first on DevOps.com.

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DevOps.com

MAY 7, 2024

Oracle today revealed it is developing a generative artificial intelligence assistant that leverages multiple large language models to create Java and SQL code, in a way that is tuned to the existing code bases and best practices that an organization employs.

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Artificial Inteligence Generative AI Artificial Intelligence Applications 120

CIO

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. CIOs and CDOs should lead ModelOps and oversee the lifecycle Leaders can review and address issues if the data science teams struggle to develop models.

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Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 318

DevOps.com

MARCH 12, 2024

The integration of AI and ML in testing is a fundamental shift in how we approach software quality and reliability in DevOps environments.

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Artificial Inteligence Machine Learning DevOps Testing 68

Blue Sentry

MAY 17, 2021

In particular, deep learning, machine learning, and AI tend to be the three trickiest to pin down. All three solutions are relatively complex, driven by cutting-edge technology, and highly dependent on digital transformation and tech-forward business models. Despite machine learning and AI embedding into.

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Artificial Inteligence Artificial Intelligence Machine Learning Technology 59

DevOps.com

MARCH 24, 2023

Tabnine has extended its alliance with Google Cloud to advance the adoption of generative artificial intelligence (AI) to automate the writing and testing of code. The generative AI platform provider has already developed its own large language model that is hosted on Google Cloud.

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Generative AI Artificial Inteligence Google Cloud Artificial Intelligence 110

Dzone - DevOps

DECEMBER 6, 2021

Today, artificial intelligence-powered machine learning (ML) and data analytics solutions are high in demand by companies in almost every area, whether it’s the financial sector, power industry, retail, healthcare, technology, or telecommunications.

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Artificial Inteligence Machine Learning Telecommunications Artificial Intelligence 52

Lacework

DECEMBER 18, 2023

As businesses increasingly migrate to the cloud, the importance of robust threat detection in these new environments is paramount. This post delves into 12 effective methods that Lacework uses to detect cloud-based attacks. January: Anomaly detection Lacework leverages anomaly detection algorithms to monitor cloud environments.

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Artificial Inteligence Cloud Analysis Machine Learning 111

The Crazy Programmer

NOVEMBER 6, 2021

hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure. And implementing programming languages including C++, Java, and Python can be a fruitful career for you. Cloud Architect. AI or Artificial Intelligence Engineer. DevOps Engineer.

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Artificial Inteligence Blockchain Artificial Intelligence Software Review 290

DevOps.com

FEBRUARY 16, 2023

As indicated in my prior blog, Optimizing Cloud Costs for DevOps With AI-Assisted Orchestration, an AI-assisted Kubernetes orchestrator is needed to optimize cloud costs for DevOps, DevSecOps and SRE.

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DevOps Cloud Artificial Inteligence Artificial Intelligence 127

OTS Solutions

AUGUST 10, 2023

Most business owners talk about DevOps, but when it comes to implementing them, problems start. Having gone through the process with many companies, a DevOps engineer told me the five common DevOps mistakes organizations make when carrying out DevOps development for the first time.

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DevOps Software Review Weak Development Team Artificial Inteligence 130

DevOps.com

JULY 7, 2020

Amazon Web Services (AWS) has made generally available a tool dubbed Amazon CodeGuru that employs machine learning algorithms to recommend ways to improve code quality and identify which lines of code are the most expensive to run on its cloud service.

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Artificial Inteligence Machine Learning AWS Open Source 138

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

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Artificial Inteligence Machine Learning Engineering Data Engineering 105

CIO

JANUARY 31, 2024

CIOs and their IT teams — including operations/DevOps, site reliability engineering, and platform engineering — are charged with building and managing IT services that can provide near 100% uptime. Thankfully, generative artificial intelligence (genAI) holds a lot of promise for increasing the efficiency of IT teams.

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Artificial Inteligence Artificial Intelligence Generative AI Knowledge Base 311

TechCrunch

NOVEMBER 18, 2021

But with time, enterprises overcame their skepticism and moved critical applications to the cloud. DevOps fueled this shift to the cloud, as it gave decision-makers a sense of control over business-critical applications hosted outside their own data centers.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

CIO

AUGUST 4, 2023

You’ll also need a working knowledge of mobile, web, and desktop operating systems as well as experience with analytics, robotics, AI and machine learning. You’ll want a program that includes courses on robotics, databases, statistics, AI, control systems, and artificial neural networks (ANN).

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Engineering Artificial Inteligence Quality Assurance Hardware 246

CIO

MARCH 8, 2023

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

Cloud 252

Cloud Technical Review Quality Assurance Data Center 252

Dzone - DevOps

FEBRUARY 5, 2023

Welcome to our tutorial on deploying a machine learning (ML) model on Amazon Web Services (AWS) Lambda using Docker. In this tutorial, we will walk you through the process of packaging an ML model as a Docker container and deploying it on AWS Lambda, a serverless computing service. So, let’s get started!

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Artificial Inteligence Machine Learning Lambda AWS 98

DevOps.com

APRIL 10, 2024

Google this week added a generative artificial intelligence (AI) tool dubbed Gemini Cloud Assist to automate a wider range of tasks across the software development lifecycle, including troubleshooting applications running on the Google Cloud Platform (GCP) to surface recommendations to improve performance and enhance security.

Tools 68

Tools Artificial Inteligence Artificial Intelligence Google Cloud 68

O'Reilly Media - Data

JUNE 5, 2018

Why model development does not equal software development. Artificial intelligence is still in its infancy. Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. Models degrade in accuracy as soon as they are put in production.

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Artificial Inteligence Machine Learning Software Review Weak Development Team 160

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. It can also help organizations better understand their data and make data-driven decisions.

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Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

DevOps.com

JUNE 21, 2023

Harness today added a raft of generative artificial intelligence (AI) capabilities to its continuous integration/continuous delivery (CI/CD) platform as part of a larger effort to reduce the level of manual toil that today conspires to create DevOps bottlenecks.

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DevOps.com

JUNE 16, 2021

WSO2 today unfurled a Choreo cloud platform through which DevOps teams can create and manage application programming interfaces (APIs) more efficiently by leveraging machine learning algorithms and other forms of artificial intelligence (AI).

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Artificial Inteligence Artificial Intelligence Machine Learning DevOps 121

Perficient

MAY 28, 2024

The event gathered industry leaders to explore the latest advancements in artificial intelligence, data integration, and commerce, with a clear focus on how these technologies are reshaping the business landscape. By enabling zero-copy data access to Data Lakes, businesses gain a comprehensive, up-to-the-minute view of their customers.

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Artificial Inteligence Artificial Intelligence Automotive Cloud 52

Perficient

FEBRUARY 20, 2024

While many organizations have already invested in a CDP, the addition of Salesforce Data Cloud can elevate their data strategy to new heights. In this blog post, we’ll explore the compelling reasons why incorporating Data Cloud alongside an existing CDP can be a game-changer for businesses.

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Artificial Inteligence Cloud Artificial Intelligence Data 59

DevOps.com

OCTOBER 25, 2023

Stacklet's Jun0 tool leverages generative artificial intelligence (AI) to improve cloud governance and reduce costs.

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Generative AI Government Artificial Inteligence Artificial Intelligence 123

CIO

MAY 9, 2023

Tap into open-source software Mainframe-dependent businesses often think that open source is just for cloud-based products – but that assumption is incorrect. Through DevOps and application development, businesses can bring the accessibility of open source to the mainframe while ensuring the compliance and security of their system’s data.

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