IBM Journey to AI blog

SEPTEMBER 12, 2023

The notion that you can create an observable system without observability-driven automation is a myth because it underestimates the vital role observability-driven automation plays in modern IT operations. Why is this a myth? Reduced human error: Manual observation introduces a higher risk of human error.

Automation 206

Automation DevOps Machine Learning Explainability 206

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. By leveraging machine learning algorithms, Instana can identify patterns and trends in application behavior, anticipating issues before they manifest as problems.

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DevOps Automation Machine Learning Algorithm 287

AWS Machine Learning Blog

MARCH 20, 2025

Fortunately, AWS provides a powerful tool called AWS Support Automation Workflows , which is a collection of curated AWS Systems Manager self-service automation runbooks. These runbooks are created by AWS Support Engineering with best practices learned from solving customer issues. The agent uses Anthropics Claude 3.5

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Automation DevOps Metadata Generative AI 80

Marktechpost

DECEMBER 18, 2024

AI-powered tools have become indispensable for automating tasks, boosting productivity, and improving decision-making. It automates code documentation and integrates seamlessly with AWS services, simplifying deployment processes. It automates model development and scales predictive analytics for businesses across industries.

Software Development 103

Software Development AI Tools DevOps Machine Learning 103

Unite.AI

SEPTEMBER 30, 2024

AI quality assurance (QA) uses artificial intelligence to streamline and automate different parts of the software testing process. Machine learning models analyze historical data to detect high-risk areas, prioritize test cases, and optimize test coverage. Automated QA surpasses manual testing by offering up to 90% accuracy.

Automation 312

Automation AI AI DevOps 312

O'Reilly Media

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. The new category is often called MLOps.

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DevOps Software Engineer Data Scientist ML 145

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 105

DevOps Generative AI Automation Software Development 105

Unite.AI

JUNE 19, 2024

In world of Artificial Intelligence (AI) and Machine Learning (ML), a new professionals has emerged, bridging the gap between cutting-edge algorithms and real-world deployment. CI/CD Pipelines : Setting up continuous integration and delivery pipelines to automate model updates and deployments.

Software Engineer 176

Software Engineer DevOps Machine Learning ML 176

AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. Machine learning operations (MLOps) applies DevOps principles to ML systems.

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Machine Learning ML Engineer DevOps ML 121

AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. This is a guest post written by Axfood AB.

Machine Learning 129

Machine Learning DevOps Data Scientist Data Quality 129

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. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

IBM Journey to AI blog

JUNE 8, 2023

With machine learning-based protection through a single platform, Zimperium offers customers mobile threat defense and in-app protection. He then selected Krista’s AI-powered intelligent automation platform to optimize Zimperium’s project management suite, messaging solutions, development and operations (DevOps).

DevOps 214

DevOps Automation Machine Learning NLP 214

Unite.AI

OCTOBER 4, 2023

Another recent announcement was the launch of Next generation version of Amdocs Cloud Management Platform which leverages the amAIz GenAI framework for automating the entire lifecycle of IT and is built to accelerate service providers’ journey to cloud, utilizing DevOps and FinOps.

Generative AI 274

Generative AI DevOps Machine Learning Automation 274

IBM Journey to AI blog

JANUARY 11, 2024

With a lean set of commands, it shouldn’t be a complicated language for newer developers to learn or understand. And there’s no reason why mainframe applications wouldn’t benefit from agile development and smaller, incremental releases within a DevOps-style automated pipeline.

Generative AI 307

Generative AI DevOps AI AI 307

AWS Machine Learning Blog

OCTOBER 16, 2024

The company developed an automated solution called Call Quality (CQ) using AI services from Amazon Web Services (AWS). Solution overview Intact aimed to develop a cost-effective and efficient call analytics platform for their contact centers by using speech-to-text and machine learning technologies.

Machine Learning 76

Machine Learning Data Scientist Deep Learning ML 76

AWS Machine Learning Blog

JANUARY 13, 2025

MuleSoft from Salesforce provides the Anypoint platform that gives IT the tools to automate everything. This includes integrating data and systems and automating workflows and processes, and the creation of incredible digital experiencesall on a single, user-friendly platform. Sona Rajamani is a Sr. Manager Solutions Architect at AWS.

DevOps 93

DevOps Generative AI Automation Data Scientist 93

IBM Journey to AI blog

FEBRUARY 6, 2024

Automation Automation tools are a significant feature of cloud-based infrastructure. Today, hybrid cloud architecture focuses more on supporting the portability of workloads across all cloud environments and then automating the cloud deployment of those workloads to the best cloud environment for a given business purpose.

DevOps 299

DevOps Automation Big Data Software Development 299

IBM Journey to AI blog

DECEMBER 11, 2023

Kubernetes , Docker Swarm ) to automate the deployment of apps across all clouds. Lastly, a hybrid cloud ecosystem delivers the agility that DevOps and other teams need to rapidly develop, test and launch applications in a cloud-based environment—another critical driver for business growth.

DevOps 308

DevOps Automation Generative AI Big Data 308

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.

Chatbots 119

Chatbots Automation Machine Learning DevOps 119

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).

DevOps 166

DevOps Automation Natural Language Processing Artificial Intelligence 166

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. MLOps projects are projects that focus on implementing machine learning operations best practices into a company’s existing software development and deployment process.

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Machine Learning DevOps Software Development Data Scientist 78

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. Once the telemetry data is collected, Instana uses advanced analytics and machine learning algorithms to automatically detect and diagnose issues.

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Automation DevOps Artificial Intelligence Artificial Intelligence 236

Flipboard

MARCH 27, 2023

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

DevOps 168

DevOps Automation Big Data Machine Learning 168

IBM Journey to AI blog

JANUARY 15, 2024

Digital transformation trends that drive a competitive advantage Trend: Artificial intelligence and machine learning We’re entering year two of widespread adoption of generative AI tools. Trend: Automation Like AI and ML, automation will be a huge driver of human productivity.

Machine Learning 219

Machine Learning Automation DevOps Artificial Intelligence 219

AWS Machine Learning Blog

MARCH 21, 2025

However, by using Anthropics Claude on Amazon Bedrock , researchers and engineers can now automate the indexing and tagging of these technical documents. JupyterLab applications flexible and extensive interface can be used to configure and arrange machine learning (ML) workflows.

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Metadata Convolutional Neural Networks Generative AI Data Scientist 109

AWS Machine Learning Blog

MARCH 10, 2025

The use of multiple external cloud providers complicated DevOps, support, and budgeting. Automated deployment strategy Our GitOps-embedded framework streamlines the deployment process by implementing a clear branching strategy for different environments. The system also enables rapid rollback capabilities if needed.

DevOps 90

DevOps Metadata Auto-complete Automation 90

IBM Journey to AI blog

DECEMBER 20, 2023

Also known as “k8s” or “kube,” Kubernetes is a container orchestration platform for scheduling and automating the deployment, management and scaling of containerized applications. Business acceleration : Harness the latest cloud technologies, such as generative AI and machine learning, to gain a competitive edge.

DevOps 294

DevOps Machine Learning Automation Big Data 294

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. They can also help automate for innovation and management within and across IT teams.

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DevOps Automation Big Data Data Mining 173

Flipboard

FEBRUARY 10, 2025

Unlike traditional systems, which rely on rule-based automation and structured data, agentic systems, powered by large language models (LLMs), can operate autonomously, learn from their environment, and make nuanced, context-aware decisions. Bobby Lindsey is a Machine Learning Specialist at Amazon Web Services.

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AWS Machine Learning Blog

MAY 7, 2024

Hugging Face is an open-source machine learning (ML) platform that provides tools and resources for the development of AI projects. About the Authors Gabriel Rodriguez Garcia is a Machine Learning engineer at AWS Professional Services in Zurich. Mateusz Zaremba is a DevOps Architect at AWS Professional Services.

Automation 122

Automation Auto-complete DevOps UX Design 122

AWS Machine Learning Blog

NOVEMBER 7, 2024

To explore how AI agents can transform your own support operations, refer to Automate tasks in your application using conversational agents. He has over 6 years of experience in helping customers architecting a DevOps strategy for their cloud workloads. He holds a Master’s in Information Systems.

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DevOps Generative AI Python Automation 120

IBM Journey to AI blog

JANUARY 30, 2024

Multicloud architecture not only empowers businesses to choose a mix of the best cloud products and services to match their business needs, but it also accelerates innovation by supporting game-changing technologies like generative AI and machine learning (ML).

Automation 288

Automation DevOps Artificial Intelligence Artificial Intelligence 288

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 208

Automation DevOps Machine Learning Algorithm 208

IBM Journey to AI blog

FEBRUARY 29, 2024

Kubernetes The most popular container orchestration platform is Kubernetes , which was created by Google in 2014 and is still popular for the robust way it automates the deployment of software, enables scalability and supports container management.

DevOps 267

DevOps Software Development Artificial Intelligence Artificial Intelligence 267

Unite.AI

JUNE 7, 2023

DevSecOps, also known as “secure devops”, is the mindset that security is integrated throughout the entire SDLC, from requirements to architecture and design, coding, testing, release and deployment. Veracode Fix uses machine learning to generate suggested fixes that developers can review and implement without writing any code.

Software Development 257

Software Development Automation DevOps Machine Learning 257

IBM Journey to AI blog

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. 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.

Computer Vision 247

Computer Vision NLP Robotics Automation 247

AI News

AUGUST 29, 2023

The operationalisation of data projects has been a key factor in helping organisations turn a data deluge into a workable digital transformation strategy, and DataOps carries on from where DevOps started. And everybody agrees that in production, this should be automated.” Yet this leads into another important point.

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Data Ingestion Big Data Explainability ETL 244