AWS Machine Learning Blog

MARCH 10, 2025

By surrounding unparalleled human expertise with proven technology, data and AI tools, Octus unlocks powerful truths that fuel decisive action across financial markets. The use of multiple external cloud providers complicated DevOps, support, and budgeting. The system also enables rapid rollback capabilities if needed.

DevOps 90

DevOps Metadata Auto-complete Automation 90

Artificial Corner

MARCH 6, 2025

And while we all recognize that AI can write code far faster than any human, the real question is: How good is the code it produces? Is AI Replacing Programmers? For decades, every new automation tool has raised the same question: "Will it replace developers?" Hype or Reality? In the 2010s, it was no-code platforms.

Software Engineer 82

Software Engineer AI AI DevOps 82

Marktechpost

MAY 3, 2024

Trained on a large open-source code dataset, it suggests snippets to full functions, automating repetitive tasks and enhancing code quality. Notion AI Inside the Notion workspace, the AI assistant Notion may help with various writing-related tasks, including creativity, revision, and summary.

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence AI Tools Auto-complete 111

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

MAY 1, 2024

Agents for Amazon Bedrock is a generative AI tool offered through Amazon Bedrock that enables generative AI applications to execute multistep tasks across company systems and data sources. Praveen Kumar Jeyarajan is a Principal DevOps Consultant at AWS, supporting Enterprise customers and their journey to the cloud.

Chatbots 119

Chatbots Automation Machine Learning DevOps 119

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. Routine questions from staff can be quickly answered using AI.

Computer Vision 247

Computer Vision NLP Robotics Automation 247

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. The following diagram illustrates the solution architecture.

LLM 160

LLM AI AI Python 160

Becoming Human

APRIL 19, 2024

Developers can now use natural language prompts to build code snippets, operations, or even full programs with the help of tools like Open AI’s Codex. It expedites the development process and enables non-programmers to make better contributions to software production through the use of the best AI tools for coding.

Software Development 103

Software Development Generative AI DevOps Automation 103

IBM Journey to AI blog

JULY 11, 2024

AI can also provide actionable recommendations to address issues and augment incomplete or inconsistent data, leading to more accurate insights and informed decision-making. Developments in machine learning , automation and predictive analytics are helping operations managers improve planning and streamline workflows.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Automation DevOps 122

IBM Journey to AI blog

JULY 11, 2024

AI can also provide actionable recommendations to address issues and augment incomplete or inconsistent data, leading to more accurate insights and informed decision-making. Developments in machine learning , automation and predictive analytics are helping operations managers improve planning and streamline workflows.

Artificial Intelligence 100

Artificial Intelligence Artificial Intelligence Automation DevOps 100

O'Reilly Media

FEBRUARY 25, 2025

Hi, I am a professor of cognitive science and design at UC San Diego, and I recently wrote posts on Radar about my experiences coding with and speaking to generative AI tools like ChatGPT. But the problem was that AI wasnt nearly good enough back then to emulate a human tutor.

Generative AI 81

Generative AI Python LLM AI 81

Viso.ai

DECEMBER 20, 2023

CVAT for Businesses and Enterprises Review and key features of CVAT How to use the Computer Vision Annotation Tool? Semi-automatic Image Annotation features and Artificial Intelligence (AI) tools Viso Suite: Cover the entire computer vision lifecycle in one workspace What is CVAT?

Computer Vision 98

Computer Vision Deep Learning Neural Network Machine Learning 98

The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Flipboard

MARCH 5, 2025

SimilarWeb data reveals dramatic AI market upheaval with Deepseek (8,658% growth) and Lovable (928% growth) dominating while traditional players like Microsoft and Tabnine lose significant market share. Read More

OpenAI 170

OpenAI AI AI DevOps 170

Unite.AI

DECEMBER 19, 2023

Generally, these customers are also adopting a “shift left” with DevOps. But now threat actors are using tools like ChatGPT to craft more in-depth, grammatically correct emails in a variety of languages that are harder for spam filters and readers to catch.

Neural Network 144

Neural Network Deep Learning ML Metadata 144

ODSC - Open Data Science

OCTOBER 9, 2024

At West, you’ll learn even more about AI’s role in reshaping software engineering. So let’s take a look at some of the specific AI tools and how they’re transforming the landscape. AI Code Generators: Writing Code Smarter, Faster Gone are the days when developers had to write every line of code manually. The result?

Software Engineer 40

Software Engineer Software Development DevOps Machine Learning 40

AWS Machine Learning Blog

AUGUST 16, 2023

The introduction of generative AI provides another opportunity for Thomson Reuters to work with customers and once again advance how they do their work, helping professionals draw insights and automate workflows, enabling them to focus their time where it matters most.

Large Language Models 85

Large Language Models Machine Learning Generative AI ML 85

Mlearning.ai

DECEMBER 21, 2023

Comparison with Other Software Development Practices Design patterns and software development methodologies like Agile or DevOps serve different but complementary roles in the software development process. The team decides to adopt the Agile methodology for project management and DevOps practices for continuous integration and deployment.

Software Engineer 52

Software Engineer Software Development DevOps Algorithm 52

Marktechpost

JULY 17, 2023

The advantages of using synthetic data include easing restrictions when using private or controlled data, adjusting the data requirements to specific circumstances that cannot be met with accurate data, and producing datasets for DevOps teams to use for software testing and quality assurance.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

IBM Journey to AI blog

MARCH 6, 2024

Software development is one arena where we are already seeing significant impacts from generative AI tools. The benefits are many, and significant productivity gains are currently available to enterprises that embrace these tools. Generative AI is just one tool in the toolbelt.

Generative AI 321

Generative AI DevOps Software Development Auto-complete 321

Unite.AI

OCTOBER 8, 2024

AI-augmented development redefines team collaboration by automating routine tasks such as bug detection, code reviews, and version control. By handling these repetitive tasks, AI allows developers to focus on more complex, higher-order problems, improving their productivity and efficiency.

Software Development 260

Software Development DevOps Automation AI 260

IBM Journey to AI blog

AUGUST 15, 2023

Recent AI developments are also helping businesses automate and optimize HR recruiting and professional development, DevOps and cloud management, and biotech research and manufacturing. Companies should not only discuss how AI will be implemented to achieve these goals, but also the desired outcomes.

Artificial Intelligence 234

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 234

Unite.AI

MARCH 21, 2024

After that, I worked for startups for a few years and then spent a decade at Palo Alto Networks, eventually becoming a VP responsible for development, QA, DevOps, and data science. Could you discuss Amplitude’s core AI philosophy that AI should aid humans in improving their work rather than replacing them?

DevOps 144

DevOps Data Quality Machine Learning Generative AI 144

Unite.AI

NOVEMBER 21, 2024

Archana Joshi brings over 24 years of experience in the IT services industry, with expertise in AI (including generative AI), Agile and DevOps methodologies, and green software initiatives. They support us by providing valuable insights, automating tasks and keeping us aligned with our strategic goals.

DevOps 144

DevOps Automation Responsible AI Software Development 144

AWS Machine Learning Blog

JANUARY 9, 2025

Automation of evaluation To make this process more scalable and efficient, we introduced an automatic evaluation phase. We trained a language model specifically designed to critique DIANNAs outputs, providing a level of automation in assessing how well DIANNA was generating reports.

Deep Learning 102

Deep Learning Neural Network Explainability AI 102