Insights

Most organizations approach AI through the familiar lens of digital transformation: identify use cases, build a roadmap, launch pilots, and hope value will follow. But AI does not behave like traditional software. Narrow use cases and rigid roadmaps may create activity, but they often fail to unlock the true transformative potential of artificial intelligence.

AI is scaling fast. But so are its costs and environmental impact. What was once an innovation advantage is quickly becoming a challenge for infrastructure, budgets, and sustainability targets.

Most organizations approach AI through the familiar lens of digital transformation: identify use cases, build a roadmap, launch pilots, and hope value will follow. But AI does not behave like traditional software. Narrow use cases and rigid roadmaps may create activity, but they often fail to unlock the true transformative potential of artificial intelligence.

Most AI pilots never escape the experiment stage. Experts from Yuma and SD Worx share what it actually takes to scale agentic AI — moving past automation toward hybrid human-AI teams, and the architectural choices that make it hold up at enterprise level. Friday 12 June, 08h30.

For most SMEs, AI still feels like something reserved for large corporations with deep budgets and dedicated teams. The result is hesitation: waiting for clarity on regulation, on cost, on where to even begin. But the barrier is no longer access; it's approach. The right starting point turns compliance from a brake into a foundation for performance.

Today’s digital landscape is more interconnected and more vulnerable than ever. This webinar equips you with practical, actionable insights to protect your critical data, limit the impact of breaches, and maintain business continuity.