Marktechpost

MARCH 21, 2024

Meet OneGrep , an AI-driven DevOps Copilot that solves these problems quickly. Benefits of this DevOps Tool Save money: OneGrep reduces processing and infrastructure expenses by optimizing observability data. With OneGrep, engineers can better control observability.

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DevOps Software Engineer Machine Learning AI 86

Marktechpost

MAY 20, 2024

The post Bisheng: An Open-Source LLM DevOps Platform Revolutionizing LLM Application Development appeared first on MarkTechPost. By providing tools for both novices and experts and ensuring reliability and scalability for enterprise use, Bisheng is poised to play a significant role in the future of intelligent application development.

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DevOps LLM Large Language Models Data Quality 84

IBM Journey to AI blog

MARCH 6, 2024

Software development is one arena where we are already seeing significant impacts from generative AI tools. A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. Generative AI is just one tool in the toolbelt. A burned-out developer is usually an unproductive one.

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Generative AI DevOps Software Development Auto-complete 270

Pickl AI

APRIL 17, 2023

How can a DevOps team take advantage of Artificial Intelligence (AI)? DevOps is mainly the practice of combining different teams including development and operations teams to make improvements in the software delivery processes. So now, how can a DevOps team take advantage of Artificial Intelligence (AI)?

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DevOps Artificial Intelligence Artificial Intelligence Automation 52

IBM Journey to AI blog

SEPTEMBER 5, 2023

DevOps, open source and the mainframe Open-source software and DevOps share a common philosophy and technical underpinnings. DevOps is a mindset, a culture and a set of technical practices that foster better communication and collaboration across the software lifecycle. The key to this deep relationship? Open-source software.

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DevOps Automation Software Development AI 305

O'Reilly Media

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.

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DevOps Software Engineer Data Scientist ML 137

IBM Journey to AI blog

NOVEMBER 13, 2023

Overview of Kubernetes Containers —lightweight units of software that package code and all its dependencies to run in any environment—form the foundation of Kubernetes and are mission-critical for modern microservices, cloud-native software and DevOps workflows.

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IBM Journey to AI blog

DECEMBER 1, 2023

Role of generative AI in digital transformation and core modernization Whether used in routine IT infrastructure operations, customer-facing interactions, or back-office risk analysis, underwriting and claims processing, traditional AI and generative AI are key to core modernization and digital transformation initiatives.

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IBM Journey to AI blog

JANUARY 10, 2024

Traditionally, applications and their hosting infrastructure align with DevOps and CloudOps. Typically, DevOps initiates requests, scrutinized by CloudOps, NetOps, SecOps and FinOps teams. However, rising costs due to diverse IT environments led to the emergence of FinOps, focusing on expense monitoring and control.

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IBM Journey to AI blog

OCTOBER 13, 2023

Automatic issue identification and predictive anomaly detection Instana’s AI-powered capabilities allow it to automatically identify issues and detect abnormalities in application behavior. DevOps culture and collaboration Instana’s focus on fostering a Dev Ops culture and collaboration is another distinguishing factor.

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The MLOps Blog

JANUARY 23, 2023

Lived through the DevOps revolution. If you’d like a TLDR, here it is: MLOps is an extension of DevOps. Not a fork: – The MLOps team should consist of a DevOps engineer, a backend software engineer, a data scientist, + regular software folks. Model monitoring tools will merge with the DevOps monitoring stack. Not a fork.

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DevOps Metadata Software Engineer Data Scientist 59

databricks

SEPTEMBER 13, 2023

The opportunity for machine learning and AI in manufacturing is immense. From better alignment of production with consumer demand to improved process control.

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DevOps Machine Learning AI AI 62

Unite.AI

NOVEMBER 28, 2023

Despite being in its infancy, artificial intelligence (AI) is already irrevocably impacting the IT industry and the way people across teams. On the one hand, tech pros feel a need to act with urgency to implement AI-powered solutions to enjoy the benefits of increased productivity and efficiency.

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Marktechpost

APRIL 22, 2024

Cloud infrastructure is a key component of AI development and implementation in the modern era. Most companies create their own DevOps automation by combining Terraform, Pulumi, in-house scripts, and variables set in the environment. There should be less complexity in managing and utilizing cloud infrastructure.

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DevOps Python Automation AI Developer 95

IBM Journey to AI blog

JANUARY 11, 2024

And there’s no reason why mainframe applications wouldn’t benefit from agile development and smaller, incremental releases within a DevOps-style automated pipeline. When AIs are trained with content found on the internet, they may often provide convincing and believable dialogss, but not fully accurate responses.

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Generative AI AI AI DevOps 254

IBM Journey to AI blog

MAY 17, 2024

It identifies the technologies and internal knowledge that an organization has, how suited its culture is to embrace managed services, the experience of its DevOps team, the initiatives it can begin to migrate to cloud and more. A DevOps practice is being developed, bringing together cloud engineers and developer groups.

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IBM Journey to AI blog

MARCH 20, 2024

artificial intelligence (AI) , edge computing, the Internet of Things (IoT) ). Cloud-native applications and DevOps A public cloud setting supports cloud-native applications—software programs that consist of multiple small, interdependent services called microservices , a crucial part of DevOps practices.

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DevOps Big Data Artificial Intelligence Artificial Intelligence 225

IBM Journey to AI blog

OCTOBER 16, 2023

They have become more important as organizations embrace modern development techniques such as microservices, serverless and DevOps, all of which utilize regular code deployments in small increments. Containerization helps DevOps teams avoid the complications that arise when moving software from testing to production.

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IBM Journey to AI blog

FEBRUARY 22, 2024

They upskilled 3,000 software engineers for DevOps and cloud-native technologies. With a co-created custom curriculum that is designed to supplement their standard DevOps and cloud native offerings to ensure the content aligned with the client’s new technology stack.

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DevOps Software Engineer 155

IBM Journey to AI blog

OCTOBER 17, 2023

Introducing the SAP Business Technology Platform The SAP Business Technology Platform (BTP) is a technological innovation platform designed for SAP applications to combine data and analytics, AI, application development, automation and integration into a single, cohesive ecosystem.

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DevOps Auto-complete Automation Python 195

IBM Journey to AI blog

NOVEMBER 13, 2023

Embrace a DevOps methodology: DevOps outlines a software development process and an organizational culture shift that speeds the delivery of higher quality software by automating and integrating the efforts of development and IT operations teams.

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DevOps Automation Software Development Artificial Intelligence 240

Becoming Human

APRIL 19, 2024

The use of Generative AI is one of the most exciting technological developments that is changing the pattern for software development. We will examine all aspects of generative AI in this section, as well as how its implementation is changing the method for creating software.

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Software Development Generative AI DevOps Automation 103

IBM Journey to AI blog

MARCH 22, 2024

IBM® brings in all this through The IBM IGNITE Quality Platform (IQP), which is a DevOps-enabled single sign-on platform that leverages AI capabilities and patented methods to optimize tests.

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Automation DevOps IDP Software Development 189

Unite.AI

JANUARY 15, 2024

It's an AI code assistant with 30+ tools like a Code Generator, Code Extender, Code Simplifier, and more to simplify the coding process for beginners like myself. Regardless, CodePal is a robust AI coding assistant that helps beginner and expert developers generate, enhance, and debug their code without extensive programming knowledge.

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IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022.

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Data Science DevOps Machine Learning Data Scientist 134

IBM Journey to AI blog

DECEMBER 19, 2023

As practices like DevOps , cloud native , serverless and site reliability engineering (SRE) mature, the focus is shifting toward significant levels of automation, speed, agility and business alignment with IT (which helps enterprise IT transform into engineering organizations). Patterns (on paper) only as prescriptive guidance.

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IBM Journey to AI blog

JUNE 26, 2023

By infusing artificial intelligence (AI) into IT operations , you can leverage the considerable power of natural language processing and machine learning models to automate and streamline operational workflows. To address this waste, consider implementing FinOps (Finance + DevOps). The benefits of AIOps are many.

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Towards AI

JULY 20, 2023

Last Updated on July 20, 2023 by Editorial Team Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Why I should have opted for Visual Studio Code for DevOps Visual Studio 2019 is one of the best tools on the market for building applications. Join thousands of data leaders on the AI newsletter.

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DevOps Explainability AI AI 85

IBM Journey to AI blog

FEBRUARY 29, 2024

DevOps: The combination of microservices as an architecture and containers as a platform is a strong pairing and a common foundation for many teams that embrace DevOps and development environments as the way they choose to handle software development.

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IBM Journey to AI blog

OCTOBER 25, 2023

Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. Organizations that have mastered hybrid cloud are well positioned to implement generative AI across the organization.

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Generative AI Automation AI AI 208

IBM Journey to AI blog

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

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Computer Vision Automation Robotics AI 208

Towards AI

FEBRUARY 15, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, fellow AI enthusiasts! This week’s podcast episode is extremely useful if you are a student or want to switch to the AI space. Learn AI Together Community section! AI poll of the week! I wish you all a great weekend.

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AI AI DevOps Neural Network 97

IBM Journey to AI blog

AUGUST 17, 2023

IBM iX , the experience design arm of IBM Consulting, and IBM’s AI consultants work with the United States Tennis Association (USTA) to integrate technology from dozens of partners, automate key business processes and develop new features. IBM is the official digital innovation partner of the US Open Tennis Championships.

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IBM Journey to AI blog

MARCH 28, 2024

Serverless simplifies development and supports DevOps practices by allowing developers to spend less time defining the infrastructure required to integrate, test, deliver and deploy code builds into production. Generative AI Today, companies are beginning to leverage generative AI capabilities across cloud settings, including private cloud.

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Becoming Human

MAY 11, 2023

MLOps projects are becoming increasingly popular as companies seek to leverage the power of AI to gain a competitive edge. DevOps and DataOps: DevOps and DataOps are related approaches that emphasize collaboration between software developers and IT operations teams.

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Machine Learning DevOps Software Development Automation 78

Mlearning.ai

JULY 31, 2023

Extension Of Devops MLOps is an extension of DevOps. DevOps aims to streamline the development and operation of software applications, while MLOps focuses on the machine learning lifecycle. MLOps extends DevOps by including data science practices, like model training and data preprocessing.

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DevOps Machine Learning Data Scientist Automation 52

IBM Journey to AI blog

OCTOBER 3, 2023

Going beyond traditional APM solutions, IBM Instana extends observability to all teams, so anyone across DevOps , SRE , platform engineering, ITOps and development can get the data they want with the context they need. You’ll find automated full-stack visibility, one-second granularity and three seconds to notify.

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Automation DevOps 226