VMware’s newly renamed Workstation Pro 25H2 introduces calendar-based versioning, automation tools, and expanded hardware and ...

This reporter has lately been complaining in team meetings about having to fight with our company ChatGPT, specifically mentioning 'yelling at a machine,' but recent research indicates that might not ...

A data integration process that collects data from multiple sources, converts it into a standardized format, and loads it into a target system such as a data warehouse or database.

Joey D’Antoni outlines how Microsoft Entra’s Conditional Access and Zero Trust capabilities help enterprises secure hybrid ...

Cribl announced expanded AI capabilities across its product suite aimed at IT and security teams, introducing Cribl Notebooks, a bring-your-own-AI (BYOAI) capability, and a standalone Model Context ...

Google Cloud's 2026 Cybersecurity Forecast predicts that AI will become standard for both attackers and defenders, with threats expanding to virtualization systems, blockchain networks, and ...

Before getting into the details of the conference, we should talk a bit about Nexthink. Nexthink has a rich history with EUC as it was founded 20 years ago in Lausanne, Switzerland, by Pedro Bados and ...

Get ready for what’s next in cloud defense—join the Cloud Security Summit: 2026 Preparedness Edition! Stay ahead of emerging threats, learn proven strategies from industry experts, and discover the ...

Every second counts after a breach. Secure your place at The Definitive Post-Breach Playbook: 2026 Edition and gain the tools, tactics, and confidence to take control when chaos hits.

Paul Schnackenburg warns that poorly governed OAuth app registrations in Microsoft Entra ID pose a serious security risk, as shown by recent Salesloft/Drift and Commvault breaches, and outlines how to ...

Join this webinar to hear Patrick Osborne, SVP of hybrid cloud at HPE, share how HPE GreenLake and HPE Private Cloud AI, available through Insight, help organizations go from pilot to production ...

Brien Posey explains that a large language model’s performance depends more on architecture, training, and data quality than on its parameter count alone.