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 201

DevOps Automation 201

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 182

DevOps Automation Software Development 182

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). But where to start?

DevOps 140

DevOps Automation Natural Language Processing Artificial Intelligence 140

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

MAY 31, 2023

In this blog post, we will look at the frequently overlooked phenomenon of connected products and how enterprises are using them to their advantage. This allows for greater automation and optimization of production processes, leading to increased efficiency, productivity and flexibility in manufacturing. Learn more about Industry 4.0

DevOps 248

DevOps Robotics Automation 248

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 183

Automation DevOps Machine Learning Algorithm 183

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 208

Automation DevOps Software Development 208

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 212

DevOps Automation 212

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.

DevOps 257

DevOps Automation Data Integration Generative AI 257

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 222

Automation DevOps Artificial Intelligence Artificial Intelligence 222

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. The post 4 questions to consider when you’re selecting an external DNS provider appeared first on IBM Blog. The mechanics of failover matter.

DevOps 247

DevOps Automation 247

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 145

Data Science DevOps Machine Learning Data Scientist 145

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

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.

Generative AI 273

Generative AI AI AI DevOps 273

IBM Journey to AI blog

FEBRUARY 15, 2024

In this blog, we discuss how Kubernetes observability works, and how organizations can use it to optimize cloud-native IT architectures. 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. How does observability work?

Automation 186

Automation DevOps 186

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. Watch the demo.

DevOps 160

DevOps Automation 160

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 222

Auto-complete DevOps Automation Knowledge Model 222

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

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.

Automation 196

Automation Machine Learning DevOps Artificial Intelligence 196

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. The post Application modernization overview appeared first on IBM Blog.

Generative AI 252

Generative AI Auto-complete DevOps Automation 252

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. appeared first on IBM Blog. IBM® NS1 Connect®’s powerful Filter Chain [GG1] technology optimizes DNS routing decisions based on specific use cases.

DevOps 261

DevOps Explainability Automation 261

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.

Generative AI 226

Generative AI Automation AI AI 226

IBM Journey to AI blog

DECEMBER 13, 2023

Read the blog: How generative AI is transforming customer service Customer service types that organizations should prioritize By offering different types of customer service and several customer support channels, organizations demonstrate they are investing in customer care.

Chatbots 207

Chatbots Generative AI DevOps Conversational AI 207

IBM Journey to AI blog

JUNE 26, 2023

Across the 30+ episodes published so far, three themes have emerged that appeared to come up: Research , which I covered in the previous blog Journey to Cloud , which I will cover here Life Stories , which I will leave for the next blog post Theme: Journey to Cloud Cloud computing has impacted the IT industry like few other technologies.

DevOps 157

DevOps Explainability Automation AI 157

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.

DevOps 96

DevOps Machine Learning Data Scientist Software Engineer 96

Pickl AI

JANUARY 30, 2023

In this blog, we are going to explore details about a career in Python and what are the new Python jobs for freshers. Data Automation: Automate data processing pipelines and workflows using Python scripting and libraries such as PyAutoGUI and Task Scheduler. Hence making a career in Python can open up several new opportunities.

Python 97

Python DevOps Machine Learning Automation 97

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 221

Computer Vision Automation Robotics AI 221

IBM Journey to AI blog

JUNE 20, 2023

A custom z/OS development environment can be established via an automated, cloud-native approach. Seamlessly integrate with standard (Git) enterprise-wide CI/CD toolchains or with DevOps platforms of our partners. Use the IBM-provided capabilities to rapidly recreate complex z/OS environments for development.

DevOps 200

DevOps Python Automation Artificial Intelligence 200

IBM Journey to AI blog

AUGUST 16, 2023

Proper financial management requires FinOps—a combination of financial personnel and DevOps. Embracing cloud optimization tools and automation can keep costs down, especially for periods of low resource usage. These tools can also forecast future usage and costs.

Automation 172

Automation DevOps Algorithm Machine Learning 172

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. This blog post discusses how BMC Software added AWS Generative AI capabilities to its product BMC AMI zAdviser Enterprise.

DevOps 94

DevOps Generative AI Automation Software Development 94

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

IBM Journey to AI blog

MAY 12, 2023

IBM’s recommendations included API-specific improvements, bot UX optimization, workflow optimization, DevOps microservices and design consideration, and best practices for Azure manage services. IBM Consulting™ helped the customer modernize its architecture for a heavily used business-to-business conversational AI app.

DevOps 203

DevOps Conversational AI Automation AI 203

IBM Journey to AI blog

AUGUST 2, 2023

In our first blog post in this series on debunking observability myths, we focused on the myth that “ You can skip monitoring and rely solely on logs.” Stay tuned for our next blog post, where we debunk another common myth: Observability is only useful for large-scale systems or complex architectures. Why is this a myth?

DevOps 151

DevOps Software Development Automation 151

AWS Machine Learning Blog

OCTOBER 2, 2023

In this post, we focus on how to automate the edge deployment part of the end-to-end MLOps pipeline. We show you how to use AWS IoT Greengrass to manage model inference at the edge and how to automate the process using AWS Step Functions and other AWS services. If you haven’t read it yet, we recommend checking out Part 1.

Automation 96

Automation DevOps ML Machine Learning 96

IBM Journey to AI blog

AUGUST 1, 2023

Organizations have embraced advanced development operations ( DevOps ) procedures to minimize incidents, but they need a resolution process for when they occur. When the server goes offline, an automated tool or employee may identify the incident, initiating the incident management process.

Automation 155

Automation Categorization DevOps Explainability 155

AWS Machine Learning Blog

OCTOBER 2, 2023

It is architected to automate the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. Automating data labeling Data labeling is an inherently labor-intensive task that involves humans (labelers) to label the data. Let’s look at how to automate model building next!

Automation 99

Automation DevOps Machine Learning Metadata 99