Insights
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When Swedish regions review their electronic health record systems, it is easy to start at the wrong end of the process: Which system should we buy? But the more important question is often a different one. Which information architecture will give healthcare the best conditions for continuous development over time?
At Vitalis, we demonstrated what happens when AI moves from general promises into real-world workflows in healthcare and social care. The focus was on medical-record summaries, better documentation, quality assurance and more usable healthcare data—but also on what is required for these solutions to work in practice: clear sources, quality-assured guidelines and integration with the systems that organisations already use.
Network automation projects have a reputation problem. Too many of them start with great ambition, consume years of effort and budget, and end up delivering something that's already outdated by the time it ships – or worse, never ships at all. The problem isn't a lack of effort or talent – often, it's a lack of foundation. Without the right framework to build on, even the best automation ideas struggle to scale, integrate, or last.
What’s the mechanics behind autonomous networks? How does a network actually "decide" anything? What stops an autonomous system from making a confident, catastrophic mistake at 3am with nobody watching?
Telecoms are increasingly feeling the urge to automate their networks: rising maintenance costs, budget pressures, and the AI race are having their effects. But is AI alone enough for the automation that yields benefits?