CIO

OCTOBER 16, 2023

Artificial intelligence has so dominated headlines and conversations that it seems like every company is announcing their own AI-related feature, solution, or initiative for their business. From a DevOps perspective, operators face some of the same issues as developers when it comes to accessing the right information.

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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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CIO

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

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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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TechCrunch

APRIL 7, 2021

As a company founded by data scientists, Streamlit may be in a unique position to develop tooling to help companies build machine learning applications. Data scientists can download the open-source project and build a machine learning application, but it requires a certain level of technical aptitude to make all the parts work.

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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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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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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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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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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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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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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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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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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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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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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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Kovair - DevOps

MAY 6, 2022

Views: 35 When discussing AI in software development, we often talk about machine learning. Can machine learning replace DevOps? But is this the same thing?

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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

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

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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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

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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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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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

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

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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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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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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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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DevOps.com

NOVEMBER 7, 2019

As organizations add machine learning (ML) to their workflows, it’s tempting to try to squeeze model creation and deployment into the existing software development lifecycle (SDLC). The post Five Challenges of Machine Learning DevOps appeared first on DevOps.com. We have identified […].

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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

JANUARY 27, 2022

While we invest in founders across a wide spectrum of businesses, this series focuses on outlining our theses on four verticals that we’re particularly excited about in 2022: Artificial intelligence (AI), fintech, cybersecurity and healthtech. […].

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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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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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