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How can a DevOps team take advantage of Artificial Intelligence (AI)?

Pickl AI

How can a DevOps team take advantage of Artificial Intelligence (AI)? DevOps is mainly the practice of combining different teams including development and operations teams to make improvements in the software delivery processes. So now, how can a DevOps team take advantage of Artificial Intelligence (AI)?

DevOps 52
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Career in Python: Trending Job Roles

Pickl AI

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
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Top 6 Kubernetes use cases

IBM Journey to AI blog

Overview of Kubernetes Containers —lightweight units of software that package code and all its dependencies to run in any environment—form the foundation of Kubernetes and are mission-critical for modern microservices, cloud-native software and DevOps workflows.

DevOps 291
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Full-Stack Data Scientist?

Towards AI

I did my research about this idea and hoped my insight could inspire more data science practitioners. Definition of a full-stack data scientist The sibling relationship between data science and software development has led to the borrowing of many concepts from the software development domain into data science practice.

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Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

IBM Journey to AI blog

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. software applications, development platforms, VMs, bare metal servers , etc.) What is a public cloud?

DevOps 273
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Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio

Flipboard

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 95
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Designing generative AI workloads for resilience

AWS Machine Learning Blog

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.