IBM Journey to AI blog

AUGUST 12, 2024

AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps). Scope and focus AIOps methodologies are fundamentally geared toward enhancing and automating IT operations. AIOps and MLOps: What’s the difference?

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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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Marktechpost

MAY 20, 2024

The platform aims to support various application forms, including process automation and search functionalities, to meet the evolving needs of enterprise scenarios. The post Bisheng: An Open-Source LLM DevOps Platform Revolutionizing LLM Application Development appeared first on MarkTechPost.

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IBM Journey to AI blog

AUGUST 28, 2023

If you’re ready to expand—or even start—your automation and AIOps strategy, you’ve come to the right place. First, let’s start with a basic premise—as IT systems become more complex and intertwined, automation is the most essential tool you have at your disposal. Read the Enterprise Guide.

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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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IBM Journey to AI blog

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

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Analytics Vidhya

MARCH 2, 2023

And also Python is a flexible language that can be applied in various domains, including scientific programming, DevOps, automation, and web development. Introduction Setting up an environment is the first step in Python development, and it’s crucial because package management can be challenging with Python.

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IBM Journey to AI blog

JANUARY 10, 2024

This helps with continuous business support through applications automating essential workflows. Traditionally, applications and their hosting infrastructure align with DevOps and CloudOps. Typically, DevOps initiates requests, scrutinized by CloudOps, NetOps, SecOps and FinOps teams.

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IBM Journey to AI blog

OCTOBER 13, 2023

Automatic and continuous discovery of application components One of Instana’s key advantages is its fully automated and continuous discovery of application components. DevOps culture and collaboration Instana’s focus on fostering a Dev Ops culture and collaboration is another distinguishing factor.

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IBM Journey to AI blog

MARCH 22, 2024

However, various challenges arise in the QA domain that affect test case inventory, test case automation and defect volume. Test case automation, while beneficial, can pose challenges in terms of selecting appropriate cases, safeguarding proper maintenance and achieving comprehensive coverage.

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Marktechpost

JUNE 20, 2024

Automated testing and continuous integration systems help catch errors early. By integrating with popular git platforms like GitHub, GitLab, Bitbucket, and Azure DevOps, PR-Agent aims to streamline and enhance the pull request workflow. Currently, several tools and practices aim to ease the burden of pull request management.

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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. The model’s five stages revolve around the organization’s level of security automation.

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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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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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Unite.AI

NOVEMBER 21, 2024

Archana Joshi brings over 24 years of experience in the IT services industry, with expertise in AI (including generative AI), Agile and DevOps methodologies, and green software initiatives. They support us by providing valuable insights, automating tasks and keeping us aligned with our strategic goals.

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Unite.AI

SEPTEMBER 30, 2024

AI quality assurance (QA) uses artificial intelligence to streamline and automate different parts of the software testing process. AI also automates test data generation, creating a wide range of test data that reduces the need for manual input. Automated QA surpasses manual testing by offering up to 90% accuracy.

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IBM Journey to AI blog

MARCH 15, 2024

These improvements are further underscored by the solution’s automated discovery of dead code or unreachable code and its ability to identify microservices in potential target states. Cloud services configuration: Automate the build-out and configuration of the cloud platform and the required cloud services for application workloads.

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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. We need both automated continuous monitoring AND periodic manual inspection.

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IBM Journey to AI blog

DECEMBER 1, 2023

The initial use of generative AI is often for making DevOps more productive. AIOps integrates multiple separate manual IT operations tools into a single, intelligent and automated IT operations platform. On the other hand, self-supervised learning is computer powered, requires little labeling, and is quick, automated and efficient.

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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. Why SAP BTP + IBM Instana?

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Unite.AI

SEPTEMBER 25, 2024

The funding round was led by Flint Capital and Glilot Capital Partners , with notable industry figures such as Yochay Ettun, CEO of cnvrg.io (acquired by Intel), and Raz Shaked, Head of DevOps at Wiz, among the investors. Traditional Infrastructure as Code (IaC) tools, like Terraform, often struggle to scale efficiently in such setups.

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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).

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Unite.AI

JUNE 19, 2024

MLOps, or Machine Learning Operations, is a multidisciplinary field that combines the principles of ML, software engineering, and DevOps practices to streamline the deployment, monitoring, and maintenance of ML models in production environments. ML Operations : Deploy and maintain ML models using established DevOps practices.

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IBM Journey to AI blog

MAY 18, 2023

It’s also an evolution from the current “fat pipes” method (which doesn’t differentiate between applications) to one that aligns the network to the needs of the business, its users, and its developers, their CI/CD pipeline and DevOps cycles.

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AWS Machine Learning Blog

OCTOBER 22, 2024

It accelerates your generative AI journey from prototype to production because you don’t need to learn about specialized workflow frameworks to automate model development or notebook execution at scale. She has a decade of experience in DevOps, infrastructure, and ML. Register a successful model in the Amazon SageMaker Model Registry.

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AI News

JULY 11, 2024

Software development emerges as the most popular area for AI investment (59%), followed by quality assurance (44%) and DevOps and automation (44%). The comprehensive event is co-located with other leading events including Intelligent Automation Conference , BlockX , Digital Transformation Week , and Cyber Security & Cloud Expo.

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AWS Machine Learning Blog

MARCH 7, 2024

However, Amazon Bedrock and AWS Step Functions make it straightforward to automate this process at scale. Step Functions allows you to create an automated workflow that seamlessly connects with Amazon Bedrock and other AWS services. In this example, the prompt for the background is “London city background.”

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Flipboard

MARCH 27, 2023

Devops teams build their infrastructure as code, automate deployments with continuous integration/continuous delivery (CI/CD), and establish …

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IBM Journey to AI blog

MARCH 29, 2024

OpenTelemetry and Prometheus enable the collection and transformation of metrics, which allows DevOps and IT teams to generate and act on performance insights. Logs can be created around specific aspects of a component that DevOps teams want to monitor. What is OpenTelemetry?

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AWS Machine Learning Blog

MAY 1, 2024

This post demonstrates how to build a chatbot using Amazon Bedrock including Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock , within an automated solution. Solution overview In this post, we use publicly available data, encompassing both unstructured and structured formats, to showcase our entirely automated chatbot system.

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IBM Journey to AI blog

JULY 24, 2023

It is often a part of AIOps , which uses artificial intelligence (AI) and machine learning to improve the overall DevOps of an organization so the organization can provide better service. Incident management enables DevOps teams to address unplanned events like server crashes or other service quality issues as quickly as possible.

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AWS Machine Learning Blog

MAY 7, 2024

For all languages that are supported by Amazon Transcribe, you can find FMs from Hugging Face supporting summarization in corresponding languages The following diagram depicts the automated meeting summarization workflow. Mateusz Zaremba is a DevOps Architect at AWS Professional Services.

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AWS Machine Learning Blog

APRIL 4, 2023

Note that the automation identifies the file format that it must use while creating the FAQ by reading the uploaded file extension and as an exception case by the prefix of header_ for the CSV document with a header. Conclusion In this post, we introduced an automated way to manage your Amazon Kendra FAQs.

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IBM Journey to AI blog

AUGUST 11, 2023

MLOps, which stands for machine learning operations, uses automation, continuous integration and continuous delivery/deployment (CI/CD) , and machine learning models to streamline the deployment, monitoring and maintenance of the overall machine learning system. How to use ML to automate the refining process into a cyclical ML process.

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Marktechpost

APRIL 22, 2024

Most companies create their own DevOps automation by combining Terraform, Pulumi, in-house scripts, and variables set in the environment. While these automations are fantastic when they function, they are frequently fragile and add a lot of complexity to the system as a whole.

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IBM Journey to AI blog

DECEMBER 19, 2023

Stage 1: Development automation Infrastructure automation (IaC) and pipeline automation are self-contained within the development team, which makes automation a great place to start. Automate firewall via generation of resource files from IaC execution & importing them to firewall systems as described here.

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