Flipboard

MARCH 21, 2025

The agent uses Anthropics Claude LLM available on Amazon Bedrock as one of the FMs to analyze incident details and retrieve relevant information from the knowledge base, a curated collection of runbooks and best practices. If more details are needed, the agent prompts the user for additional information.

Automation 161

Automation Large Language Models Generative AI DevOps 161

IBM Journey to AI blog

DECEMBER 1, 2023

The initial use of generative AI is often for making DevOps more productive. This enables IT operations and DevOps teams to respond more quickly (even proactively) to slowdowns and outages, thereby improving efficiency and productivity in operations.

Generative AI 292

Generative AI DevOps Automation Neural Network 292

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. A DevOps practice is being developed, bringing together cloud engineers and developer groups.

DevOps 300

DevOps Automation AI AI 300

IBM Journey to AI blog

NOVEMBER 13, 2023

Understanding legacy applications Legacy applications, in the context of information technology, refer to systems that have been in use for an extended period and typically exhibit the following characteristics: Outdated technology: Legacy applications often rely on outdated technology, which means they were built using older tools and systems.

DevOps 293

DevOps Automation Software Development Artificial Intelligence 293

AWS Machine Learning Blog

JANUARY 13, 2025

Solution overview The Amazon Q Business web experience provides seamless access to information, step-by-step instructions, troubleshooting, and prescriptive guidance so teams can deploy well-architected applications or cloud-centered infrastructure. This post covers how to integrate Amazon Q Business into your enterprise setup.

DevOps 100

DevOps Generative AI Automation Data Scientist 100

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.

DevOps 237

DevOps Automation 237

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 113

Metadata Convolutional Neural Networks Generative AI Data Scientist 113

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

AWS Machine Learning Blog

DECEMBER 23, 2024

Virtual Agent: Thats great, please say your 5 character booking reference, you will find it at the top of the information pack we sent. Virtual Agent: Thats great, please say your 5 character booking reference, you will find it at the top of the information pack we sent. Customer: Id like to check my booking. Please say yes or no.

DevOps 113

DevOps Natural Language Processing Software Engineer Large Language Models 113

IBM Journey to AI blog

OCTOBER 17, 2023

This solution extends observability to a wide range of roles, including DevOps, SRE, platform engineering, ITOps and development. The solution gives users contextual information so that they can quickly access insights without struggling with data and application monitoring.

DevOps 231

DevOps Auto-complete Automation Python 231

Unite.AI

OCTOBER 8, 2024

AI also assists in forecasting timelines, reducing project delays, and providing data-driven insights that help team leaders make more informed decisions. AI-driven CI/CD fosters better collaboration among developers and operations teams ( DevOps ).

Software Development 263

Software Development DevOps Automation AI 263

IBM Journey to AI blog

SEPTEMBER 19, 2024

They used generative AI to develop a solution that might effectively analyze and extract valuable information from unstructured feedback data. By using AWS services such as Amazon Comprehend, Amazon Bedrock, Amazon Aurora, Amazon DynamoDB, the solution can process text feedback, redact personally identifiable information (PII).

Generative AI 281

Generative AI DevOps Natural Language Processing NLP 281

IBM Journey to AI blog

MARCH 20, 2024

Additionally, they offer numerous cloud security tools and solutions like identity and access management (IAM) , data loss prevention (DLP), and security information and event management (SIEM). When developers finish using a testing environment, they can easily take it down.

DevOps 281

DevOps Big Data Artificial Intelligence Artificial Intelligence 281

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. processors, memory and storage) into multiple virtual machines (VMs).

DevOps 298

DevOps Automation Generative AI Artificial Intelligence 298

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

SEPTEMBER 12, 2023

In today’s complex and dynamic environments, traditional manual approaches fall short in delivering the agility, accuracy and scalability demanded by site reliability engineering (SRE) and DevOps practices. This information is vital for capacity planning and performance optimization.

Automation 206

Automation DevOps Machine Learning Explainability 206

AWS Machine Learning Blog

DECEMBER 3, 2024

This complexity hinders quick, accurate data analysis and informed decision-making during critical incidents. Solution Overview The New Relic custom plugin for Amazon Q Business centralizes critical information and actions in one interface, streamlining your workflow. The following diagram illustrates the workflow.

DevOps 103

DevOps AI AI ML 103

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.

DevOps 98

DevOps Metadata Auto-complete Automation 98

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

IBM Journey to AI blog

MAY 31, 2023

For more information about the concept, see the link below. Learn more about Industry 4.0

DevOps 281

DevOps Robotics Automation 281

IBM Journey to AI blog

DECEMBER 11, 2023

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. intellectual property, personally identifiable information (PII), medical records) by storing them in a private cloud setting.

DevOps 308

DevOps Automation Generative AI Big Data 308

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. For example, government agencies frequently choose private cloud settings for workloads that deal with confidential documents, personally identifiable information (PII) or other sensitive data.

DevOps 299

DevOps Automation Big Data Software Development 299

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

Unite.AI

FEBRUARY 7, 2025

However, AI tools are not just for creatives but also for more complex fields, such as DevOps, finance, and even legal. AI tools can help you analyse market data, predict trends, and even make recommendations for your clients portfolios based on real-time information. But what if you can automate a large part of this work?

AI Tools 124

AI Tools Automation AI AI 124

Unite.AI

NOVEMBER 28, 2023

The IT sector is also beginning to understand how the benefits of advances in natural language processing can aid DevOps, SecOps, and CloudOps teams. When getting started with AI, as with any new technologies, you should keep in mind one of the Information Technology Infrastructure Library guiding principles: Start where you are.

DevOps 277

DevOps Natural Language Processing AI AI 277

Unite.AI

NOVEMBER 17, 2023

AI recommends safer libraries, DevOps methods, and a lot more. For example, in healthcare, AI assesses the risk of patient data exposure and recommends enhanced encryption and access controls to safeguard sensitive information. For example, if an app's encryption protocols are outdated, AI can suggest the necessary upgrades.

Artificial Intelligence 299

Artificial Intelligence Artificial Intelligence DevOps Automation 299

Flipboard

FEBRUARY 10, 2025

For more information, refer to Deploy models for inference. Without tools, agents would be like smart speakers that can only talkthey could process information but couldnt take actual actions. For more information, refer to the GitHub repo. backstory="An AI agent skilled in finding relevant information from a variety of sources.",

LLM 158

LLM AI AI Python 158

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. They should also have access to relevant information about how data is collected, stored and used.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

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.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Unite.AI

SEPTEMBER 30, 2024

Solutions offering synthetic data generation and data masking ensure that the test data is realistic and accurate while protecting sensitive information. AI-powered QA is also becoming central to DevOps. Enhanced Test Data Management With AI-driven tools, managing test data becomes much simpler.

Automation 317

Automation AI AI DevOps 317

AWS Machine Learning Blog

FEBRUARY 10, 2025

Making credit decisions using AI can be challenging, requiring data science and portfolio teams to synthesize complex subject matter information and collaborate productively. To efficiently use the models context window, we construct a tool selector that retrieves only the relevant tools based on the information in the agent state.

Generative AI 95

Generative AI Data Science Data Scientist AI 95

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. Understanding DevOps concepts will give you an edge in the field. Thats cloud computing!

DevOps 52

DevOps Data Science Automation Big Data 52

IBM Journey to AI blog

DECEMBER 1, 2023

A hybrid cloud solution provides a flexible alternative way for banks to isolate this data by hosting applications on industry-compliant public clouds and storing sensitive information on-premises in their private cloud. fast and secure mobile banking apps).

DevOps 256

DevOps Generative AI Automation Large Language Models 256

AWS Machine Learning Blog

SEPTEMBER 4, 2024

DevOps engineers often use Kubernetes to manage and scale ML applications, but before an ML model is available, it must be trained and evaluated and, if the quality of the obtained model is satisfactory, uploaded to a model registry. They often work with DevOps engineers to operate those pipelines. curl for transmitting data with URLs.

DevOps 102

DevOps ML Engineer ML Metadata 102

IBM Journey to AI blog

JUNE 2, 2023

They led the modernization and migration of 29 user-facing applications, developing standardized DevOps, technology, and quality-assurance processes while modernizing and migrating three legacy applications to AWS by Q1 2023. Rearchitecting and modernizing with new channels of information delivery (leveraging microservices).

Auto-complete 252

Auto-complete DevOps Automation Knowledge Model 252

AWS Machine Learning Blog

OCTOBER 16, 2024

The transcriptions in OpenSearch are then further enriched with these custom ML models to perform components identification and provide valuable insights such as named entity recognition, speaker role identification, sentiment analysis, and personally identifiable information (PII) redaction.

Machine Learning 82

Machine Learning Data Scientist Deep Learning ML 82

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.

DevOps 173

DevOps Automation Big Data Data Mining 173