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. Conclusion and next steps with RDC To expedite development, RDC collaborated with AWS Startups and the AWS Generative AI Innovation Center.

Generative AI 95

Generative AI Data Science Data Scientist AI 95

AWS Machine Learning Blog

MARCH 27, 2024

Although much of the focus around analysis of DevOps is on distributed and cloud technologies, the mainframe still maintains a unique and powerful position, and it can use the DORA 4 metrics to further its reputation as the engine of commerce. Pass the generative AI prompt to Amazon Bedrock (using Anthropic’s Claude2 model on Amazon Bedrock).

DevOps 113

DevOps Generative AI Automation Software Development 113

AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

ML 94

ML Generative AI AI AI 94

IBM Journey to AI blog

OCTOBER 25, 2023

Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. From our perspective, the debate over architecture is over.

Generative AI 243

Generative AI Automation ESG AI 243

Unite.AI

MARCH 7, 2025

Goutham (Gou) Rao is the CEO and co-founder of NeuBird , the creators of Hawkeye, the worlds first generative AI-powered ITOps engineer, designed to help IT teams diagnose and resolve technical issues instantly, enabling seamless collaboration between human teams and AI.

DevOps 162

DevOps Automation Data Analysis Generative AI 162

Flipboard

MARCH 21, 2025

Using generative AI for IT operations offers a transformative solution that helps automate incident detection, diagnosis, and remediation, enhancing operational efficiency. AI for IT operations (AIOps) is the application of AI and machine learning (ML) technologies to automate and enhance IT operations.

Automation 164

Automation Large Language Models Generative AI DevOps 164

Unite.AI

FEBRUARY 6, 2025

The exponential rise of generative AI has brought new challenges for enterprises looking to deploy machine learning models at scale. Governance, data privacy, and infrastructure costs have become critical roadblocks, often delaying AI implementation.

DevOps 179

DevOps Machine Learning Large Language Models Automation 179

NVIDIA

DECEMBER 3, 2024

As generative AI continues to grow, implementing and managing the right infrastructure becomes even more critical to ensure the secure and efficient development and deployment of AI-based solutions. earlier this year.

DevOps 113

DevOps Software Engineer Large Language Models Generative AI 113

IBM Journey to AI blog

SEPTEMBER 19, 2024

Generative AI innovations can transform industries. Eight client teams collaborated with IBM® and AWS this spring to develop generative AI prototypes to address real-world business challenges in the public sector, financial services, energy, healthcare and other industries.

Generative AI 281

Generative AI DevOps Natural Language Processing NLP 281

AWS Machine Learning Blog

NOVEMBER 7, 2024

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses.

DevOps 127

DevOps Generative AI Python Automation 127

AWS Machine Learning Blog

JANUARY 13, 2025

This post shows how MuleSoft introduced a generative AI -powered assistant using Amazon Q Business to enhance their internal Cloud Central dashboard. Amazon Q Business is one of the AWS suites of generative AI services that provides a web-based utility to set up, manage, and interact with Amazon Q. Sona Rajamani is a Sr.

DevOps 100

DevOps Generative AI Automation Data Scientist 100

Flipboard

DECEMBER 10, 2024

Technology operations (TechOps) is a broad topic that includes AIOps, SecOps, DevOps, FinOps, DataOps and so on. Generative AI (GenAI), armed with large language models (LLMs) and agentic AI, Sandeep Shilawat is a renowned tech innovator, thought leader and strategic advisor in U.S. federal markets.

DevOps 166

DevOps Large Language Models Generative AI AI 166

Unite.AI

DECEMBER 10, 2024

Gentrace , a cutting-edge platform for testing and monitoring generative AI applications, has announced the successful completion of an $8 million Series A funding round led by Matrix Partners , with contributions from Headline and K9 Ventures. It has drastically improved our ability to predict the impact of changes in our AI models.

Generative AI 147

Generative AI Auto-complete LLM DevOps 147

AWS Machine Learning Blog

JANUARY 21, 2025

Responsible AI using Guardrails for Amazon Bedrock Conversational AI applications require robust guardrails to safeguard sensitive user data, adhere to privacy regulations, enforce ethical principles, and mitigate hallucinations, fostering responsible development and deployment.

Generative AI 82

Generative AI Auto-complete Responsible AI Automation 82

IBM Journey to AI blog

MARCH 20, 2024

Cloud-native applications and DevOps A public cloud setting supports cloud-native applications—software programs that consist of multiple small, interdependent services called microservices , a crucial part of DevOps practices. 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

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. Let us explore the Generative AI possibilities across these lifecycle areas.

Generative AI 284

Generative AI Auto-complete DevOps Automation 284

IBM Journey to AI blog

SEPTEMBER 17, 2024

Generative AI is not only changing the way applications are built, but the way they are envisioned, designed, tested, documented, and deployed. With the advent of gen AI, we are witnessing another transformation in the way applications are developed and delivered.

Software Development 122

Software Development Generative AI DevOps Automation 122

AWS Machine Learning Blog

MARCH 21, 2025

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices. samples/2003.10304/page_2.png"

Metadata 113

Metadata Convolutional Neural Networks Generative AI Data Scientist 113

AWS Machine Learning Blog

DECEMBER 4, 2024

He focuses on core challenges related to deploying complex AI applications, inference with multi-tenant models, cost optimizations, and making the deployment of Generative AI models more accessible. Prior to joining AWS, Dr. Li held data science roles in the financial and retail industries.

Machine Learning 100

Machine Learning Large Language Models Data Scarcity Auto-complete 100

Unite.AI

OCTOBER 4, 2023

You recently oversaw the company’s recent launch of Amdocs amAIz , a Generative AI Framework for the Telecom industry. Generative AI is here, but just as importantly, it’s here to stay. What are some of the challenges behind Generative AI hallucinations and how is Amdocs addressing this to reduce or mitigate these?

Generative AI 278

Generative AI DevOps Machine Learning Automation 278

AWS Machine Learning Blog

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Generative AI workloads are no different.

Generative AI 135

Generative AI Prompt Engineer Prompt Engineering AI 135

AWS Machine Learning Blog

AUGUST 26, 2024

The rise of foundation models (FMs), and the fascinating world of generative AI that we live in, is incredibly exciting and opens doors to imagine and build what wasn’t previously possible. Users can input audio, video, or text into GenASL, which generates an ASL avatar video that interprets the provided data.

Generative AI 119

Generative AI DevOps AI AI 119

AWS Machine Learning Blog

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

Generative AI 76

Generative AI LLM AI AI 76

Becoming Human

APRIL 19, 2024

The use of Generative AI is one of the most exciting technological developments that is changing the pattern for software development. We will examine all aspects of generative AI in this section, as well as how its implementation is changing the method for creating software.

Software Development 103

Software Development Generative AI DevOps Automation 103

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. Hybrid cloud’s pay-as-you-go pricing model helps teams avoid unnecessary spending and balance overall costs and revenue.

DevOps 308

DevOps Automation Generative AI Big Data 308

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

Generative AI 125

Generative AI Prompt Engineer Prompt Engineering ML 125

IBM Journey to AI blog

MARCH 28, 2024

Serverless simplifies development and supports DevOps practices by allowing developers to spend less time defining the infrastructure required to integrate, test, deliver and deploy code builds into production. Generative AI Today, companies are beginning to leverage generative AI capabilities across cloud settings, including private cloud.

DevOps 298

DevOps Automation Generative AI Artificial Intelligence 298

AWS Machine Learning Blog

FEBRUARY 6, 2024

Accenture built a regulatory document authoring solution using automated generative AI that enables researchers and testers to produce CTDs efficiently. By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format.

Generative AI 127

Generative AI Large Language Models AI AI 127

AWS Machine Learning Blog

AUGUST 22, 2024

Building a deployment pipeline for generative artificial intelligence (AI) applications at scale is a formidable challenge because of the complexities and unique requirements of these systems. Generative AI models are constantly evolving, with new versions and updates released frequently.

Generative AI 122

Generative AI Metadata Python ML 122

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 235

Chatbots DevOps Generative AI Conversational AI 235

IBM Journey to AI blog

DECEMBER 1, 2023

Hybrid cloud also enables DevOps methodologies for banks to rapidly build customized solutions on software applications that streamline banking operations and deliver better customer experiences (e.g., DevOps teams frequently use public cloud platforms and other services, such as cloud storage , to host development projects.

DevOps 256

DevOps Generative AI Automation Large Language Models 256

IBM Journey to AI blog

AUGUST 11, 2023

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. How generative AI is evolving MLOps The release of OpenAI’s ChatGPT sparked interests in AI capabilities across industries and disciplines.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Flipboard

NOVEMBER 22, 2024

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. Ram Vittal is a Principal Generative AI Solutions Architect at AWS. In this post, we focus on the highlighted Amazon DataZone section.

ML 132

ML Data Science Metadata DevOps 132

Flipboard

FEBRUARY 10, 2025

Generative AI on SageMaker AI SageMaker AI, a fully managed service, provides a comprehensive suite of tools designed to deliver high-performance, cost-efficient machine learning (ML) and generative AI solutions for diverse use cases.

LLM 161

LLM AI AI Python 161

IBM Journey to AI blog

DECEMBER 20, 2023

For instance, a DevOps team can quickly scale or extend an application’s functionality by adding new microservices without having to add a line of code or affecting other aspects of the application. Workloads involving web content, big data analytics and AI are ideal for a hybrid cloud infrastructure.

DevOps 294

DevOps Machine Learning Automation Big Data 294

AWS Machine Learning Blog

AUGUST 1, 2024

In the next section, we explore how generative AI and Amazon Bedrock can help insurers overcome these challenges and streamline the underwriting process through intelligent document understanding and automation. Amazon Bedrock simplifies the deployment, scaling, implementation, and management of generative AI models for insurers.

Generative AI 122

Generative AI Natural Language Processing Machine Learning AI 122

AWS Machine Learning Blog

MARCH 10, 2025

The use of multiple external cloud providers complicated DevOps, support, and budgeting. It became apparent that a cost-effective solution for our generative AI needs was required. Response performance and latency The success of generative AI-based applications depends on the response quality and speed.

DevOps 98

DevOps Metadata Auto-complete Automation 98