Every major economy now has an AI safety body. The international network that came out of the Seoul Summit in 2024 has grown to include the UK, the US, the EU, France, Germany, Japan, South Korea, Canada, Singapore, India and Australia. On paper it looks like coordinated global governance. In practice, almost none of these… Continue reading International AI Bodies and their Powers
These three concepts get conflated constantly in healthcare informatics conversations. All deal with clinical codes and they all do fundamentally different jobs. Understanding what each does is critical if you're building anything that touches coded clinical data. Category What it does Major examples Healthcare context Terminology Clinical code systems Defines the codes, concepts, descriptions and… Continue reading Understanding AI Classifiers, Terminologies, terminology Engines
Because SNOMED and ICD Codes must be treated as categories for gradient boosting The 8 main blood types (A+, A-, B- rare, B+, O+, O- universal, AB+, AB-) are categories. If I used label encoding then each category becomes integer (e.g A+ =0, B-=1, AB+=2). This is compact but introduces a false ordering and the… Continue reading Using CatBoost.ai in Healthcare
Setting up MLOps for repeatable pipelines when using scikit-learn Not every AI problem requires a large language model. In many enterprise environments, the most valuable systems are still well engineered, explainable, repeatable and operationally governed. This is where classical machine learning pipelines still provide benefit and Scikit-learn remains one of the strongest foundations for these… Continue reading MLOps for Scikit-learn
Mobile Network Operators have an opportunity to provide a secure UK Open Banking Service using their location services, 5G Network Slicing and Password-less Multi-Factor Authentication
As a Google Cloud Platform certified architect I really should blog some more about my actual usage of GCP. One of my favourite tools is Dataproc as it provides a managed Spark & Hadoop environment and enables a lambda architecture suitable for complex network event processing and function remediation. A mobile radio network is a… Continue reading Google Cloud managed Spark & Hadoop for Mobile Network Performance
Monitoring and observability across hybrid clouds is complex and requires avoid stove pipes by working in a multi-cluster environment.
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