AI News

AUGUST 29, 2023

The operationalisation of data projects has been a key factor in helping organisations turn a data deluge into a workable digital transformation strategy, and DataOps carries on from where DevOps started. And everybody agrees that in production, this should be automated.” Yet this leads into another important point.

Data Ingestion 164

Data Ingestion Explainability Big Data ETL 164

AWS Machine Learning Blog

JANUARY 5, 2024

Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process. MLOps – Model monitoring and ongoing governance wasn’t tightly integrated and automated with the ML models.

Data Science 121

Data Science Data Drift DevOps Auto-complete 121

Marktechpost

JULY 5, 2024

The curriculum also includes classical search, automated planning, and probabilistic graphical models for comprehensive AI training. It covers advanced topics, including scikit-learn for machine learning, statistical modeling, software engineering practices, and data engineering with ETL and NLP pipelines.

Data Science 62

Data Science Machine Learning Data Analysis Software Engineer 62

AWS Machine Learning Blog

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Generative AI 115

Generative AI Prompt Engineer Prompt Engineering AI 115

Marktechpost

JULY 17, 2023

We can automate the procedure to deliver forecasts based on new data continuously fed throughout time. A few automated and enhanced features for feature engineering, model selection and parameter tuning, natural language processing, and semantic analysis are noteworthy.

Data Mining 98

Data Mining Machine Learning Data Scientist Artificial Intelligence 98

ODSC - Open Data Science

OCTOBER 9, 2024

By automating repetitive tasks and generating boilerplate code, these tools free up time for engineers to focus on more complex, creative aspects of software development. Well, it is offering a way to automate the time-consuming process of writing and running tests. Just keep in mind, that this shouldn’t replace the human element.

Software Engineer 40

Software Engineer Software Development DevOps Machine Learning 40

Bugra Akyildiz

NOVEMBER 20, 2022

AI for DevOps to infuse AI/ML into the entire software development lifecycle to achieve high productivity. The library is centered on the following concetps: ETL : central framework to create data pipelines. Zpy is available in GitHub. Butterfree is a library to build features for your machine learning pipelines.

ML 52

ML ETL Data Science DevOps 52