Kirsten Poon

  Kirsten Poon is an artificial intelligence analyst from Edmonton with experience in building and deploying AI systems for business use. She works closely with technical teams to help organizations adopt AI in practical and responsible ways. Kirsten Poon shares common misunderstandings around AI adoption that are explained in a clear and simple manner. This focuses on separating facts from false beliefs, helping businesses understand how AI really fits into daily operations. It highlights why many fears around cost, complexity, and reliability are outdated and how a better understanding of AI can support smarter adoption decisions. 1. AI Is Only for Large Companies One common belief is that AI is meant only for big organizations with large budgets and technical teams. This idea is no longer true. AI tools today are available in many sizes and formats, making them accessible to small and mid-sized businesses as well. Many AI systems are designed to scale, which means they can grow...

  Kirsten Poon is an experienced artificial intelligence analyst who works closely with businesses to improve how systems operate and perform. She focuses on practical AI solutions that help organizations monitor, manage, and scale their systems with confidence. Kirsten Poon shares 5 AI uses that improve system monitoring across modern business environments. The content explains how AI supports real-time performance tracking, detects issues early, and reduces manual monitoring work. It also highlights how AI improves visibility across connected systems and supports better maintenance planning. 1. Real-Time Performance Tracking AI improves system monitoring by tracking performance in real time. It continuously reviews system activity such as usage levels, response times, and processing loads. This allows businesses to understand how systems behave during normal operations. AI models quickly process incoming data and detect patterns that show changes in performance. By doing this au...