Expert Opinions | Digitalisation World

Why Interactive Prototyping provides a better development journey

Published in Apps + DevOps Case Studies DevOps ICT Management Open Source Software-as-a-Service Vertical Applications

By Jake Davis, Design Director, Pocket App.

AI deep dive: from early lessons to an agentic future

Andy, Data & AI Director at Pax8, explores what the agentic inflection point means in practice and how AI is moving beyond experimentation into real-world application. He breaks down the 'empty box' approach...

Building IT services that scale with customer expectations

Daniel Reeves, CEO of The Computer Clinic Bicester, shares how the business has evolved from its roots into a modern IT services provider supporting both consumers and organisations. He discusses shifting...

Hybrid IT creates observability challenges, and opportunities

Cullen discusses the findings of the company’s recent 2026 SolarWinds State of Monitoring & Observability Report, examining how IT teams are navigating increasingly fragmented hybrid environments, and in...

Why AI isn’t one size fits all for MSPs and their growth journey

Pete Hughes, Founder and Managing Director of Zalara Tech, shares how building a business in the age of AI shapes growth and delivery, and why success depends on understanding that AI is never a...

News

Vulnerability discovered in GitHub repository highlights security risks

Tenable Research has identified a vulnerability in a Microsoft GitHub repository that could affect its CI/CD infrastructure.

Mouser Electronics partners with StarTech for global distribution

Mouser Electronics has partnered with StarTech to distribute connectivity accessories globally, supporting IT and industrial technology integration.

The growing fault line: AI tools and employee disengagement

A gap exists between executive enthusiasm for AI and employee trust in these tools, alongside the use of unsanctioned AI applications.

Addressing AI-driven gaps in disaster recovery planning

Keepit survey unveils the chasm between confidence and verification in AI disaster readiness, underscoring risks and the necessity for enhanced governance.

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