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)?

DevOps 52

DevOps Artificial Intelligence Artificial Intelligence Automation 52

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.

Python 399

Python DevOps Automation Data Science 399

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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DevOps Automation 193

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.

DevOps 212

DevOps Automation 212

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.

Automation 269

Automation DevOps 269

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.”

Automation 124

Automation Generative AI DevOps Explainability 124

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.

DevOps 194

DevOps Automation Software Development 194

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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DevOps Automation Natural Language Processing Artificial Intelligence 152

Flipboard

MARCH 27, 2023

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

DevOps 138

DevOps Automation Big Data Machine Learning 138

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.

Automation 72

Automation DevOps Machine Learning ML 72

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.

Automation 219

Automation DevOps Software Development 219

IBM Journey to AI blog

FEBRUARY 13, 2024

Optimize performance through automation Turbonomic revolutionizes application performance optimization by leveraging AI and machine learning algorithms to analyze real-time performance data and give insight into application response time and transaction time.

Automation 195

Automation DevOps Machine Learning Algorithm 195

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.

Data Science 157

Data Science DevOps Machine Learning Data Scientist 157

Unite.AI

NOVEMBER 17, 2023

Automated Code Review and Analysis AI can review and analyze code for potential vulnerabilities. AI recommends safer libraries, DevOps methods, and a lot more. Automated Patch Generation Beyond identifying possible vulnerabilities, AI is helpful in suggesting or even generating software patches when unpredictable threats appear.

Artificial Intelligence 299

Artificial Intelligence Artificial Intelligence Automation DevOps 299

Unite.AI

NOVEMBER 28, 2023

AI can pre-define processes, automate repetitive workflows, set reminders, filter, and tag projects, helping team members focus on other important business needs. The IT sector is also beginning to understand how the benefits of advances in natural language processing can aid DevOps, SecOps, and CloudOps teams.

AI 277

AI AI DevOps Natural Language Processing 277

IBM Journey to AI blog

OCTOBER 24, 2023

Organizations need simplified, integrated and automated solutions to help optimize IT spend, improve operations and drive greater financial returns. The result of the implemented solutions was increased automation and improved budgeting. They began in the initial stages of the FinOps journey and maturity.

DevOps 218

DevOps Automation 218

AWS Machine Learning Blog

JANUARY 5, 2024

Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process. MLOps – Model monitoring and ongoing governance wasn’t tightly integrated and automated with the ML models.

Data Science 117

Data Science Data Drift DevOps Auto-complete 117

IBM Journey to AI blog

SEPTEMBER 19, 2023

DevOps , SRE , Platform, I TOps, and developer teams are all under pressure to keep applications performant while operating faster and smarter than ever. Automation for efficient operations Instana was built with automation in mind, understanding that manual intervention leads to delays, inefficiencies and potential errors.

Automation 231

Automation DevOps Artificial Intelligence Artificial Intelligence 231

IBM Journey to AI blog

JUNE 2, 2023

Automate routine tasks to free up time to provide personalized services and build relationships with families. IBM Operational Decision Manager (ODM) enables businesses to respond to real-time data by applying automated decisions, enabling business users to develop and maintain operational systems decision logic.

Auto-complete 238

Auto-complete DevOps Automation Knowledge Model 238

IBM Journey to AI blog

MAY 31, 2023

This allows for greater automation and optimization of production processes, leading to increased efficiency, productivity and flexibility in manufacturing. We assume readers are familiar with Industry 4.0, For more information about the concept, see the link below. Learn more about Industry 4.0

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DevOps Robotics Automation 264

IBM Journey to AI blog

NOVEMBER 14, 2023

The platform can be automated through a standardized framework validated for Financial Services, leveraging the IBM Cloud Security and Compliance Center service (SCC). It combines the power of the z-Mod stack with secure DevOps practices, creating a seamless and efficient development process.

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DevOps Automation Data Integration Generative AI 272

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. The Intellyx take We are generally skeptical of most vendor claims about AI, as often they are simply automation by another name.

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Generative AI AI AI DevOps 289

IBM Journey to AI blog

JULY 11, 2023

Announcing IBM Instana Observability Business Monitoring That’s why we are so excited to announce IBM Instana Observability Business Monitoring , an automated solution designed to provide organizations with an end-to-end view of their business processes and applications.

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IBM Journey to AI blog

NOVEMBER 24, 2023

Application modernization is the process of updating legacy applications leveraging modern technologies, enhancing performance and making it adaptable to evolving business speeds by infusing cloud native principles like DevOps, Infrastructure-as-code (IAC) and so on.

Generative AI 268

Generative AI Auto-complete DevOps Automation 268

Becoming Human

MAY 11, 2023

Machine learning operations, or MLOps, are the set of practices and tools that aim to streamline and automate the machine learning lifecycle. It is a discipline that seeks to automate the various stages of the machine learning lifecycle, from data acquisition and cleaning to model training, deployment, and monitoring.

Machine Learning 78

Machine Learning DevOps Software Development Automation 78

IBM Journey to AI blog

JANUARY 15, 2024

Trend: Automation Like AI and ML, automation will be a huge driver of human productivity. Organizations undergoing digital transformations are likely to uncover wide swaths of manual work that can and should be automated. But organizations still need humans to decide what actions to take based on what the ML-analyzed data shows.

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Automation Machine Learning DevOps Artificial Intelligence 208

IBM Journey to AI blog

FEBRUARY 15, 2024

In DevOps , the concept of observability has evolved to refer to the end-to-end visibility of a system state as dictated by telemetry data. It’s the ability to diagnose and understand why a system is behaving in a particular way, which is vital to troubleshooting, deciphering performance issues and improving system design.

Automation 198

Automation DevOps 198

IBM Journey to AI blog

FEBRUARY 2, 2024

Is it automated? Today’s networks are driven by DevOps, edge computing, and serverless architectures, all of which require an API-first approach to infrastructure. NS1 takes a different approach, offering a separated redundant system that you can manage from the same control plane. The mechanics of failover matter.

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DevOps Automation 263

Becoming Human

APRIL 19, 2024

Automated Testing: By automating the creation of test cases, generative AI can expedite the software development process’ testing phase. This automated testing method improves software products’ overall reliability and quality. These include code creation, automated testing, and design support.

Software Development 83

Software Development Generative AI DevOps Automation 83

Heartbeat

FEBRUARY 1, 2023

MLOps is a highly collaborative effort that aims to manipulate, automate, and generate knowledge through machine learning. They may also be involved in the deployment process’s automation. It can assist you in simplifying and automating the creation and operation of machine-learning models.

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DevOps Machine Learning Data Scientist Software Engineer 96

IBM Journey to AI blog

OCTOBER 25, 2023

But simultaneously, generative AI has the power to transform the process of application modernization through code reverse engineering, code generation, code conversion from one language to another, defining modernization workflow and other automated processes. Much more can be said about IT operations as a foundation of modernization.

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Generative AI Automation AI AI 236

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.

DevOps 52

DevOps Machine Learning Data Scientist Automation 52

IBM Journey to AI blog

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions.

Computer Vision 234

Computer Vision Automation Robotics AI 234

AWS Machine Learning Blog

DECEMBER 19, 2023

Machine learning operations (MLOps) applies DevOps principles to ML systems. Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations. It’s much more than just automation. Only a small fraction of a real-world ML use case comprises the model itself.

Machine Learning 111

Machine Learning ML Engineer DevOps ML 111

AWS Machine Learning Blog

MARCH 27, 2024

This is achieved through practices like infrastructure as code (IaC) for deployments, automated testing, application observability, and complete application lifecycle ownership. Lead time for changes and change failure rate KPIs aggregate data from code commits, log files, and automated test results.

DevOps 94

DevOps Generative AI Automation Software Development 94

IBM Journey to AI blog

FEBRUARY 28, 2024

Infrastructure as code : Today’s networks are driven by DevOps, edge computingand serverless architectures, which require an API-first approach to infrastructure. IBM® NS1 Connect®’s powerful Filter Chain [GG1] technology optimizes DNS routing decisions based on specific use cases.

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DevOps Explainability Automation 276

AWS Machine Learning Blog

FEBRUARY 27, 2024

Automation of building new projects based on the template is streamlined through AWS Service Catalog , where a portfolio is created, serving as an abstraction for multiple products. This is made possible by automating tedious, repetitive MLOps tasks as part of the template.

Machine Learning 119

Machine Learning DevOps Data Quality Data Scientist 119