Expert Opinions | Digitalisation World

Predicting the top five SMB threats of 2016

Published in Compliance/Governance/Risk Management Datacentre + Network Security Device Security Security + Compliance Security-as-a-Service

AppRiver’s manager of security research, Troy Gill, has analysed threat trends over the last 12 months and offers his perspective of what lies ahead...

How Slide is rethinking backup and disaster recovery for MSPs

Carlson Choi, COO of Slide, outlines how Slide is rebuilding backup and disaster recovery for modern MSPs, moving away from legacy systems toward a platform built for security, speed, and scale. He discusses...

Interview with Gerchamp at DCW Frankfurt 2026

Data Centre World Frankfurt 2026

Industry under-prepared for surge in AI data centre demand

Tim Collier, director and UK data centre lead at Turner & Townsend, explains what’s needed to build confidence in the industry and to deliver data centres on schedule, how to navigate heightened competition...

Architecting the agentic enterprise: How AI is reshaping modern cloud platforms

In this interview, Cathleen Nelson, VP Cloud Partnership at WSO2, discusses how enterprises are moving from treating AI as an add-on to embedding it at the heart of modern digital architecture. The...

News

Enterprise AI hits the wall

Demands for privacy and sovereignty expose limits of architectures built for centralised and borderless data flows.

Navigating AI risks: the launch of TrustAssure governance assessment

Addressing AI-related risks is becoming increasingly important as organisations adopt intelligent systems. New approaches and tools are being developed to support AI governance and compliance.

Check Point’s agentic platform for network security

Check Point introduces its Agentic Network Security Orchestration Platform, designed to support network security with increased efficiency and automation.

Enhancing intelligence: Huawei's full-stack data infrastructure for AI centres

Huawei has introduced a data infrastructure aimed at supporting AI-driven enterprise environments, covering areas including AI data lakes, model engineering, and data resilience.

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