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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AWS Machine Learning Blog

NOVEMBER 7, 2024

These indexes enable efficient searching and retrieval of part data and vehicle information, providing quick and accurate results. The agents also automatically call APIs to perform actions and access knowledge bases to provide additional information.

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DevOps Generative AI Python Automation 128

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 145

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. This statement replaces all prior statements on this topic.

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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.

Automation 317

Automation AI AI DevOps 317

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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DevOps Auto-complete Automation Python 231

Unite.AI

FEBRUARY 7, 2025

In fact, one of the biggest changes AI brings to the freelancing world is the automation of daily, routine tasks. With the help of AI tools, freelancers can automate such tasks and free up their time to focus on crafting, building relationships, and taking on more gigs. But what if you can automate a large part of this work?

AI Tools 124

AI Tools Automation AI AI 124

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.

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DevOps Generative AI Automation Data Scientist 102

AWS Machine Learning Blog

MARCH 21, 2025

Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data. samples/2003.10304/page_0.png'

Metadata 108

Metadata Convolutional Neural Networks Generative AI Data Scientist 108

IBM Journey to AI blog

MARCH 28, 2024

A private cloud also provides an ideal setting for companies with workloads that deal with confidential documents, intellectual property, personally identifiable information (PII) , medical records, financial data or other sensitive data. Automation: Cloud automation tools run on top of virtual environments and speed tasks (e.g.,

DevOps 298

DevOps Automation Generative AI Artificial Intelligence 298

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 DevOps Automation 299

IBM Journey to AI blog

FEBRUARY 6, 2024

A CMP creates a single pane of glass (SPOG) that provides enterprise-wide visibility into multiple sources of information and data. Automation Automation tools are a significant feature of cloud-based infrastructure. Automation Automation tools are a significant feature of cloud-based infrastructure.

DevOps 299

DevOps Automation Big Data Software Development 299

Flipboard

MARCH 27, 2023

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

DevOps 166

DevOps Automation Big Data Machine Learning 166

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. For more information about the concept, see the link below. We assume readers are familiar with Industry 4.0, Learn more about Industry 4.0 Learn more about Industry 4.0

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Flipboard

NOVEMBER 22, 2024

We provide additional information later in this post. The functional architecture with different capabilities is implemented using a number of AWS services, including AWS Organizations , Amazon SageMaker , AWS DevOps services, and a data lake. For more information about the architecture in detail, refer to Part 1 of this series.

ML 130

ML Data Science Metadata DevOps 130

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?

DevOps 243

DevOps Software Development Automation Metadata 243

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.

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DevOps Natural Language Processing AI AI 277

AWS Machine Learning Blog

MARCH 10, 2025

Investment professionals face the mounting challenge of processing vast amounts of data to make timely, informed decisions. This challenge is particularly acute in credit markets, where the complexity of information and the need for quick, accurate insights directly impacts investment outcomes.

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DevOps Metadata Auto-complete Automation 87

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.

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Auto-complete DevOps Automation Knowledge Model 252

IBM Journey to AI blog

SEPTEMBER 19, 2024

They created an Intelligent Feedback Analysis tool that automates the extraction and analysis of customer comments and reviews across the energy sector. They used generative AI to develop a solution that might effectively analyze and extract valuable information from unstructured feedback data.

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Generative AI DevOps Natural Language Processing NLP 281

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

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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Automation DevOps Software Development 228

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.

Software Engineer 182

Software Engineer DevOps Machine Learning ML 182

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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Automation DevOps AI AI 103

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. The increasing complexity of IT systems has created a need for organizations to monitor and analyze data better to make more informed decisions.

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DevOps Automation Big Data Data Mining 173

IBM Journey to AI blog

JANUARY 26, 2024

At Instana, addressing our customers’ needs and creating a simple tool that is easy to use is fundamental to helping our DevOps and SRE teams reduce burnout rates, allowing them to excel in what they do best. Mobile developers will have all the information in a single tool. You asked, and we delivered!

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Automation DevOps Software Development Artificial Intelligence 271

IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Automation can significantly improve efficiency and reduce errors.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

AWS Machine Learning Blog

MAY 1, 2024

For handling more intricate queries, achieving comprehensive answers demands information sourced from both documentation and databases. This integration allows for the synthesis of combined information, resulting in detailed and exhaustive answers. For more information, see Knowledge bases for Amazon Bedrock. 32xlarge instance.

Chatbots 128

Chatbots Automation Machine Learning DevOps 128

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. For more information, refer to Deploy models for inference.

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LLM AI AI Python 158

IBM Journey to AI blog

AUGUST 11, 2023

The information can deepen our understanding of how our world works—and help create better and “smarter” products. The paper suggested creating a systematic “MLOps” process that incorporated CI/CD methodology commonly used in DevOps to essentially create an assembly line for each step. What is MLOps?

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

IBM Journey to AI blog

JANUARY 15, 2024

Chief information officers (CIOs) must work directly with CEOs and other business leaders to align on the cultural changes needed to make a digital transformation successful. Trend: Automation Like AI and ML, automation will be a huge driver of human productivity.

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Machine Learning Automation DevOps Artificial Intelligence 219

IBM Journey to AI blog

MARCH 20, 2024

But without integration, the data would be locked into siloes; and the applications would be isolated and overloaded with complexity as fragile, tightly coupled connections were added to allow applications to work together and share information. Integration helps connect, automate and digitally transform businesses.

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Automation DevOps AI AI 196

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). Machine learning operations (MLOps) Intact also built an automated MLOps pipeline that use Step Functions, Lambda, and Amazon S3. Amazon DynamoDB is used in this architecture to control the limits of the queues.

Machine Learning 84

Machine Learning Data Scientist Deep Learning ML 84

IBM Journey to AI blog

APRIL 4, 2024

Across industries like education, retail and government, organizations are choosing private cloud settings to conduct business use cases involving workloads with sensitive information and to comply with data privacy and compliance needs.

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DevOps Automation Software Development Generative AI 289

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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Automation Auto-complete DevOps UX Design 130

IBM Journey to AI blog

DECEMBER 1, 2023

Today, hybrid cloud architecture has expanded beyond physical connectivity and basic cloud migration to offer a flexible, secure and cost-effective environment that supports the portability and automated deployment of workloads across multiple environments. fast and secure mobile banking apps).

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DevOps Generative AI Automation Large Language Models 256

Pickl AI

APRIL 1, 2025

Instead of keeping data on bulky hard drives, companies now use cloud services to store, manage, and process information securely. They ensure data is safe, systems run smoothly, and companies can access their information anytime. Other useful languages include: Bash/Shell scripting : For automating server tasks. And guess what?

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DevOps Data Science Automation Big Data 52