Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and an excellent playground for experimenting with agents.
In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.
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IT job watch: AI automation engineer
This article takes a look at the current and expected hiring demand for AI automation engineers. It explores the skills, ...
Phenomenon Studio reveals what SaaS, ERP, and digital product development actually costs in 2026. Real project budgets, ...
The post Bring out your dead: How agentic AI for cybersecurity helps you rid your cloud of forgotten, risky assets appeared first on Tenable Blog. Tenable Hexa AI eliminates “zombie” cloud ...
Announcement of an order for 1,000 micro drones by the DGA – Direction générale de l’armement from the start-up Harmattan AI to be supplied to the Armée de Terre for the Orion 2026 financial year in ...
With Flash GA, the company is attempting to transition from being a provider of raw compute to becoming the essential orchestration layer for the AI-first cloud.
Microsoft disrupted Fox Tempest, a malware-signing service accused of abusing Azure certificates to disguise ransomware and ...
[SINGAPORE] SP Mobility and ComfortDelGro Engie have won contracts from EV-Electric Charging (EVe) to deploy electric vehicle (EV) fast-charging hubs in HDB towns. EVe is a subsidiary of the Land ...
Fox Tempest is a financially motivated threat actor operating a malware‑signing‑as‑a‑service (MSaaS) used by other ...
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