News & Insights Intro
One Size Doesn’t Fit All – Tailoring AI Adoption to Generations and Roles
Article 4 of 4
AI adoption isn’t just a technical rollout, it’s a human transition. And like any meaningful change, it must be tailored to the people it affects. That means recognising the different needs, expectations, and motivations of employees across generations and experience levels.
Learning Never Stops – Why AI Demands a Culture of Continuous Development
Article 3 of 4
In an AI-driven business, learning isn’t a phase. It’s a mindset. And it’s the only way to ensure that people, not just platforms, remain at the heart of innovation and the customer’s experience.
The challenge isn’t just about keeping up with technology. It’s about helping people grow with it. That means creating a culture where learning is embedded in daily work, not confined to training sessions.
AI Is a Change Journey – Not Just a Technology Implementation
Article 2 of 4
Too often, AI is introduced as a technical upgrade. But in reality, it shifts decision-making, redefines roles, and reshapes how teams collaborate. It challenges assumptions, accelerates workflows, and introduces new ethical considerations.
It isn’t a software rollout. It’s a strategic, cultural journey.
The Skills Shift – What It Takes to Thrive in an AI-Driven Automotive Business
Article 1 of 4
As artificial intelligence continues to transform the automotive industry—from predictive maintenance to hyper-personalised customer journeys—one thing is clear: the future isn’t just about smarter tools, but about more empowered people.
For OEMs, NSCs, and retailers alike, AI is not a plug-in solution. It’s a catalyst for rethinking how we work, lead, and serve. And that starts with skills.
Motivating learners to apply learning
What really represents project success? For a piece of workplace learning, success is usually measured through positive stakeholder feedback after a course is launched. Then we march on, ready to attack the next challenge.