Pickl AI

APRIL 1, 2025

Collaborating with DevOps Teams and Software Developers Cloud Engineers work closely with developers to create, test, and improve applications. Understand DevOps and CI/CD Cloud Engineers often work closely with DevOps teams to ensure smooth deployments. How is cloud computing related to data science?

DevOps 52

DevOps Data Science Automation Big Data 52

IBM Journey to AI blog

AUGUST 6, 2024

Serverless, or serverless computing, is an approach to software development that empowers developers to build and run application code without having to worry about maintenance tasks like installing software updates, security, monitoring and more. How does serverless work?

DevOps 112

DevOps Big Data Chatbots Artificial Intelligence 112

Flipboard

NOVEMBER 24, 2023

Moreover, the JuMa infrastructure, which is based on AWS serverless and managed services, helps reduce operational overhead for DevOps teams and allows them to focus on enabling use cases and accelerating AI innovation at BMW Group. Marinus Krommenhoek is a Senior Cloud Solution Architect and a Software Developer at BMW Group.

ML 152

ML DevOps Data Scientist ML Engineer 152

Pickl AI

JANUARY 30, 2023

The role of Python is not just limited to Data Science. It’s a universal programming language that finds application in different technologies like AI, ML, Big Data and others. Data Automation: Automate data processing pipelines and workflows using Python scripting and libraries such as PyAutoGUI and Task Scheduler.

Python 97

Python DevOps Machine Learning Data Science 97

AWS Machine Learning Blog

FEBRUARY 1, 2024

She has a diverse background, having worked in many technical disciplines, including software development, agile leadership, and DevOps, and is an advocate for women in tech. Randy has held a variety of positions in the technology space, ranging from software engineering to product management.

Generative AI 138

Generative AI Prompt Engineer Prompt Engineering AI 138

IBM Journey to AI blog

AUGUST 12, 2024

When enterprises need to build an application, one of the most important decisions their leaders must make is what kind of software development to use. While there are many software architectures to choose from, serverless and microservices architectures are increasingly popular due to their scalability, flexibility and performance.

Software Development 112

Software Development Artificial Intelligence Artificial Intelligence DevOps 112

ODSC - Open Data Science

OCTOBER 9, 2024

Let’s go and explore together how AI can revolutionize key areas of software development, from coding to testing, deployment, and security. These tools use machine learning models trained on vast amounts of code to assist developers in writing cleaner, more efficient code. The result? So what are you waiting for?

Software Engineer 40

Software Engineer Software Development DevOps Machine Learning 40

AWS Machine Learning Blog

MARCH 5, 2025

He has touched on most aspects of these projects, from infrastructure and DevOps to software development and AI/ML. After earning his bachelors degree in software engineering and a masters in computer vision and machine learning from Polytechnique Montreal, Philippe joined AWS to put his expertise to work for customers.

Generative AI 78

Generative AI LLM AI AI 78

Flipboard

MARCH 7, 2023

Each user role such as a data scientist; an ML, MLOps, or DevOps engineer; and an administrator can choose the most suitable approach based on their needs, place in the development cycle, and enterprise guardrails. He develops and codes cloud native solutions with a focus on big data, analytics, and data engineering.

Python 123

Python Data Science Data Scientist ML 123

AWS Machine Learning Blog

FEBRUARY 21, 2023

With this option, you are testing the new model and minimizing the risks of a low-performing model, and you can compare both models’ performance with the same data. SageMaker deployment guardrails Guardrails are an essential part of software development. She is also the Co-Director of Women In Big Data (WiBD), Denver chapter.

ML 96

ML Software Development Automation Metadata 96