Which customers leave a telecom company, why, and how much revenue does it cost? This project answers those questions with SQL Server for the analysis queries and Python (pandas, scikit-learn) for ...

Oracle expands its AI Lakehouse with new data integration, forecasting, and analytics tools to help businesses improve decision-making.

This article was not written by AI. It is long, so it might be easier to read if you summarize it with AI.The 'computer-savvy ...

Nvidia gave us access to its Vera data center CPU for testing against Intel's Granite Rapids-AP and AMD's EPYC Turin.

This project analyzes historical Brazilian e-commerce transaction data from the Olist dataset (2016–2018) to evaluate delivery performance, customer satisfaction, geographic delivery patterns, and ...

MOCHITEC I am Ueda (@ryo_u27), the head of the AI Development Department at . I share content related to AI agents and peripheral technologies as a way to organize my thoughts.IntroductionStreamlit ...

Despite file names of the data taken indicating migrant worker organization files, the contents of the backups are not ...

AI data preparation is the unglamorous half of working with data: cleaning, joining, and reshaping raw tables while an AI drafts each step. AI data ...

Treat the LLM as a brain, not a source of facts. A practical guide to multi-agent LLM systems: prompts, orchestration, RAG, ...

Eclypsium found 16 advisories tied to CISA KEV flaws from Sept. 18 to Oct. 14, led by Ivanti, NetScaler and PHP2Shell.

On 4 August 2026 UK AISI reported 19 unsanctioned agent actions in 122 cyber-evaluation runs. Here is what the record can, ...