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.

Agentic AI, Data Security and Enterprise Productivity in 2026

Softcat’s Dean Gardner (Technology Director) and Adam Harding (Head of OCTO) unpack the findings of the organisation's latest Business Tech Report. From agentic AI and ransomware resilience to sustainability...

Empowering MSPs to Combine Human Expertise with CISO Insights

Erin McLean, CMO at Cynomi, explains how MSPs can use embedded CISO intelligence to manage enterprise-wide cybersecurity programs. She discusses translating technical controls into business outcomes, engaging...

Driving innovation in the energy resilience industry

Lenaik Andrieux, General Manager – Power Systems EMEA, India & Australia, Rehlko, explains how the acquisition of The Wilmott Group, a UK-based supplier of critical backup-power solutions, makes Rehlko one...

Small Businesses at Risk from Cybersecurity Threats

Dor Eisner, Co-Founder and CEO of Guardz, shares insights from the latest Cybersecurity SMB Report. He discusses the evolving threat landscape, including the impact of AI and automation, and why smaller...

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Veeam software updates senior leadership with three key appointments

Veeam Software strengthens its executive team with three new strategic appointments to drive innovation and enhance global partnerships.

Luminance updates legal-grade AI for enterprise contracts

Luminance's latest AI platform overhaul retains negotiation history, aiming to bridge a longstanding gap in contract systems and enhancing enterprise operational efficiency.

Alerify partners with Zadara on private, sovereign AI platform

Alerify partners with Zadara and aims to enhance AI capabilities while ensuring data privacy and control.

AI adoption challenges: navigating the trust paradox

Informatica's new study reveals the trust paradox of AI: rapid adoption yet high risks due to lack of data literacy and governance. Solutions involve investment and upskilling.

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