A Machine Learning (ML) pipeline is used to assist in the automation of machine learning processes. They work by allowing a sequence of data to be transformed and correlated in a model that can be ...

The University of the Sunshine Coast (UniSC) is launching a major digital transformation initiative beginning with a large-scale migration to Microsoft Azure ... on-premises data centres by ...

A project to create a conversion tool to make migrations between Azure Pipelines YAML and GitHub Actions YAML easier. As GitHub Actions becomes more popular, it's clear that a migration tool will be ...

In a world where technology evolves at breakneck speed, it’s astonishing to realize that many businesses still rely on systems built decades ago. Imagine this: 220 billion lines of COBOL code are ...

In this tutorial, we demonstrate how PraisonAI Agents can elevate your data analysis from manual scripting to a fully autonomous, AI-driven pipeline. In a few natural-language prompts, you’ll learn to ...

Embedded tool use, which ranges from code execution to web browsing and data analysis ... including AWS, Azure, Google Cloud, and Oracle Cloud. Nvidia even recently announced that it plans ...

Here are the five key ways to achieve digital transformation with data-driven decision-making: Utilities typically operate with many assets, including power stations, pipelines, transmission and ...

Embracing flexibility allows you to seize new opportunities and remain ahead of the curve. Case study: UKSBS – a data and reporting platform success story UKSBS partnered with ElysianIT to transform ...

The Data Monitoring Committee (DMC) identified no safety concerns related to changes ... BIOX-101’s unique mechanism of action is the foundation of an innovative pipeline of drug candidates for the ...

We’re empowering Microsoft employees with data-driven innovation including transforming experiences, modernizing functions, and optimizing infrastructure through AI and a robust data strategy. At ...