CIO

MARCH 5, 2024

That’s one of the main themes from IDC’s recent predictions report, “IDC FutureScape: Worldwide Artificial Intelligence and Automation 2024 Top 10 Predictions”. In DevOps, KPIs may be improvements in software quality or time to value. Artificial Intelligence, Business, Events It’s time to get to business.

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Dzone - DevOps

JANUARY 25, 2024

Large Visual Models (LVMs) have altered the artificial intelligence environment, allowing machines to grasp and analyze visual input with remarkable precision. Their influence extends across several industries, bringing in breakthrough applications and improvements.

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DevOps.com

JUNE 2, 2020

The use of artificial intelligence (AI) and machine learning (ML) is fundamentally changing the way we think about DevOps. Most notably, it is delivering a new form of DevOps that recognizes the need to have systems that are intelligent by design and underpinned by comprehensive security (DevSecOps).

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OTS Solutions

NOVEMBER 1, 2018

How Is Artificial Intelligence Changing The Business Landscape? While artificial intelligence has long been fodder for sci-fi novelists, but the reality is not nearly as dramatic as 2001 or The Terminator. But artificial intelligence can be just as useful in helping you bolster your physical security.

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RapidValue

FEBRUARY 24, 2020

The use of Artificial Intelligence in software development is still at a beginning stage. Through the application of reasoning, problem solving and in some cases Machine Learning, AI can used to support automation, decreasing the amount of mundane and tedious tasks in development and testing.

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Dzone - DevOps

JANUARY 5, 2024

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the way we approach problem-solving and data analysis. However, deploying and managing ML models in production environments can be a daunting task.

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AWS Machine Learning - AI

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage.

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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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DevOps.com

APRIL 21, 2023

With the rapid advancement of artificial intelligence (AI) and machine learning (ML), companies need to understand and evaluate their readiness to adopt these technologies and drive material business outcomes.

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Kovair - DevOps

MARCH 20, 2020

Artificial intelligence (AI) and machine learning (ML) are advanced technologies in the IT world. It is a perfect combination and helps in both the private.

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Artificial Inteligence Machine Learning Artificial Intelligence DevOps 142

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

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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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

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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Kovair - DevOps

MARCH 6, 2022

Views: 23 The IT sector is quickly adapting to artificial intelligence (AI) and machine learning has a significant role in this rapid improvement. Nowadays, we.

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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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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.

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DevOps.com

SEPTEMBER 16, 2022

While artificial intelligence (AI) and machine learning (ML) are emerging technologies, we know they can help an organization parse large data sets and glean actionable insights. But do AI-infused processes actually make a difference in organizations that employ DevOps?

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DevOps.com

JANUARY 4, 2021

has added a new artificial intelligence (AI) tool to more accurately predict cloud computing workloads and rein in cloud spending. The company says its Purchase Planner tool uses machine learning to optimize cloud computing workloads by automatically purchasing cloud reserve instances based on the forecasts it generates.

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DevOps.com

SEPTEMBER 19, 2021

Artificial intelligence has taken the tech world to a new level of automation. Today, almost every specialization demands the intervention of machine learning to develop AI technologies that help businesses do more with less time and resources. For DevOps, the answer is a […]. appeared first on DevOps.com.

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Dzone - DevOps

AUGUST 22, 2022

As advanced technologies like AI (Artificial Intelligence) and ML (Machine Learning) are gradually shaping the ways we live and work, DevOps teams are no exception. Artificial Intelligence has incredibly changed the way we approach DevOps and other IT operations.

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Artificial Inteligence DevOps Artificial Intelligence Machine Learning 110

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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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

Kovair - DevOps

SEPTEMBER 8, 2023

The technological landscape is perpetually evolving, with artificial intelligence (also known as AI) and Development Operations (DevOps) leading. The fusion of these two powerful tools.

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DevOps Artificial Intelligence Artificial Inteligence Tools 110

DevOps.com

JANUARY 6, 2022

Artificial intelligence, machine learning, intelligent process automation, advanced analytics, and robotic process automation (RPA) are among the top DevOps technology trends to watch. The post 6 Top DevOps Technology Trends to Watch appeared first on DevOps.com.

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Dzone - DevOps

MARCH 18, 2024

As we advance into 2024, the landscape of DevOps is undergoing a transformative shift. Emerging technologies, evolving methodologies, and changing business needs are redefining what it means to implement DevOps practices effectively.

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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 258

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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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. Machine Learning is Use-case Drenched.

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DevOps.com

OCTOBER 25, 2021

New Relic and Mona, a provider of a platform for monitoring the models used to provide artificial intelligence (AI), announced today they have formed an alliance to help bridge the divide between DevOps teams and data scientists.

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DevOps.com

MAY 27, 2019

DevOps teams seeking to step up their mojo in developing cutting-edge artificial intelligence (AI) features are facing a big skills bottleneck when it comes to data analytics and machine learning modeling. The post Are Self-Service Machine Learning Models the Future of AI Integration?

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DevOps.com

SEPTEMBER 27, 2021

Artificial intelligence (AI) and machine learning (ML) help improve the performance of DevOps teams by automating repetitive tasks and eliminating inefficiencies across the SDLC. In this episode of DevOps Unbound, Brian Dawson, Judith Hurwitz, Alan Shimel and Mitch Ashley discuss how […].

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TechCrunch

APRIL 26, 2022

As the tech world inches a closer to the idea of artificial general intelligence, we’re seeing another interesting theme emerging in the ongoing democratization of AI: a wave of startups building tech to make AI technologies more accessible overall by a wider range of users and organizations.

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Dzone - DevOps

FEBRUARY 20, 2024

DevOps has been an integral part of software development for the last 15 years. With the rise of Artificial Intelligence in recent years, the structure of how enterprises are delivering and consuming AI has changed drastically with the proliferation of open-source technology.

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CIO

APRIL 11, 2024

This technology, leveraging artificial intelligence, offers a self-managing, self-securing, and self-repairing database system that significantly reduces the operational overhead for businesses.” The allure of such a system for enterprises cannot be overstated, Lee says. “We

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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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