Logicalis, the leading global technology service provider, today announces it has achieved its 2025 target for carbon neutrality in Scope 1 and 2 emissions - marking a significant milestone in the company’s journey to reach its SBTi-validated goals. This includes a 50% reduction in Scope 1 and 2 emissions by 2030 and achieving net zero carbon emissions by 2050.

The way employees interact with technology in the workplace plays a major role in productivity, engagement and overall job satisfaction. A good digital experience means employees can work without frustration, collaborate easily and access the tools they need without delays. On the other hand, poor digital experiences slow things down, create unnecessary stress and lead to disengagement.

Logicalis, the leading global technology service provider, today announces it has achieved the Cisco Extended Detection Response (XDR) Cisco Powered Services (CPS) Solution Specialisation and becomes a Cisco XDR CPS Specialisation Partner.

I recently had the privilege of attending the Cisco Partner Technical Exchange Conference 2025 in Bangkok, and it truly was an unforgettable experience! The event brought together Cisco representatives and partners from across the Australia and Asia Pacific regions, providing a unique opportunity to connect, collaborate, and learn from one another.

Throughout this series, we’ve explored how AI is reshaping business, not just through technology, but through how organisations work, compete, and deliver value. Yet, in many organisations, AI is still seen as an IT initiative. A digital transformation project. A technical capability that can be “rolled out” by a team somewhere downstream. In this blog, Adrian Alatsas highlights why AI is much more than a technology solution; it’s a leadership decision.

When it comes to AI, most organisations are asking the same question: “Where do we start?” The answer? Start with what’s feasible, not just what’s exciting. Your first AI initiative is more than a project — it’s a tone-setter. A successful start builds trust, momentum, and capability. But failure, over-engineering, or underwhelming results can stall progress before it even begins.

While many organisations are hesitant to adopt AI due to perceived risks and uncertainties, the greater threat may lie in doing nothing. This blog explores how delaying AI adoption can result in lost productivity, missed opportunities, and falling behind competitors who are actively building AI capabilities.

When organisations launch AI initiatives, the first instinct is often to hire a data scientist. But what they really need — and often lack — is a business translator. This critical role connects business needs with data capabilities, ensuring AI efforts are aligned with real-world problems and lead to tangible outcomes. Without this bridge between business and technical teams, even the best AI models risk becoming unused dashboards. A business translator understands strategy, speaks the language of data, and ensures outputs are actionable. While the role often exists informally today, formalising it is essential as AI becomes core to operations.

The traditional AI Proof-of-Concept (PoC) model, focused on technical validation in isolated environments, is no longer fit for purpose. Real AI value comes from solving real business problems, with real data, in real-world conditions. This blog unpacks why so many AI pilots stall and introduces a smarter approach: Business-in-Concept. By aligning AI initiatives with genuine business needs from day one, involving stakeholders early, and focusing on measurable outcomes, organisations can close the value gap and build the internal muscle required to scale AI. The takeaway? Don’t just prove the tech works — prove it matters.