Kirsten Poon

  Kirsten Poon is an artificial intelligence analyst with experience in building and managing AI systems. She focuses on helping organizations use AI in a stable and practical way. Kirsten Poon shares 6 clear ways to manage AI changes over time. This explains why AI systems need regular attention after deployment and how performance, data, and models can shift as conditions change. It highlights the importance of monitoring, updating data, retraining models, and maintaining clear oversight. These help ensure AI systems stay reliable, accurate, and aligned with long-term business goals while adapting smoothly to ongoing change. 1. Monitor Performance on a Regular Basis Continuous performance monitoring is essential to understand how an AI system behaves over time. Changes in data patterns or system conditions can slowly reduce accuracy without immediate signs. By tracking performance metrics regularly, teams can detect small issues before they become serious problems. Monitoring al...

Kirsten Poon from Edmonton is an Artificial Intelligence analyst who has worked across both commercial and industrial environments. Kirsten Poon focuses on helping companies use AI to solve real business problems and improve everyday performance. With her experience in developing and deploying scalable AI systems, she understands how technology can help organizations move faster and smarter. Artificial Intelligence is not only changing how data is used but also how teams think, plan, and create. In this Blog, Kirsten Poon shares five practical AI tips that help businesses improve results, boost productivity, and stay competitive in today’s fast-changing market. 1. Use AI to Turn Data Into Action Every business collects data, but not all know how to use it effectively. AI can process large amounts of information in seconds, revealing patterns and insights that would take humans much longer to find. By applying AI analytics, companies can identify what drives performance, track customer...