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Browsing: AI & Automation
Meta is implementing an AI-first approach to ad buying, which is transforming the way paid social teams operate. This shift moves focus from manual optimization toward data management, governance, and increased creative output.
When it comes to designing and building networks for AI, the challenges look a bit like a multi-headed monster, with capacity, latency, policy and rising supply chain costs all demanding attention.
Amazon and Alphabet are two of the biggest spenders in the AI world. Both see huge demand for their cloud computing products and are spending as much money as they can get their hands on to meet it.
La. (WAFB) – A number of LSU students say they feel stuck after being accused of using artificial intelligence to cheat. Students have a chance to clear their names, but the process has become bogged down
Cleveland-Cliffs just committed US$1b to upgrade its Middletown Works plant with AI-enabled process controls, which puts a fresh spotlight on companies that help factories run smarter and cheaper. That kind of spending can ripple across suppliers and rivals, and investors who ignore it risk missing where capital is quietly flowing. This article walks through three…
Machine learning (ML) helps video game developers create dynamic experiences and higher-quality games more efficiently.
President Donald Trump urged governors and mayors to welcome AI plants and data centers into their communities, saying he would “absolutely want” such projects because of the jobs and tax revenue they bring.
Data engineering teams routinely spend weeks standing up a single new data source: writing ETL, hand-writing quality checks, updating semantic models, and validating compliance. The Agentic Data Operations Platform (ADOP) on AWS is designed to significantly accelerate that timeline. It’s a reference architecture built on Amazon Bedrock and your AI coding tool of choice. Specialized…
CoreWeave (NASDAQ: CRWV) and Nebius(NASDAQ: NBIS) are two of the most popular picks in the artificial intelligence (AI) cloud infrastructure space. So far, they’ve been strong stock picks in 2026, with CoreWeave rising about 30% and Nebius nearly tripling, at a 196% gain. While Nebius has clearly been the better performer so far this year,…
Healthcare, retail, and life sciences organizations generate massive quantities of operational data in cloud data warehouses like Snowflake. While these systems store and scale information efficiently, transforming that data into meaningful predictions remains a challenge. Traditional machine learning (ML) approaches require specialized teams, long development cycles, and heavy engineering support, creating delays and limiting experimentation…