:` Spark New Zealand, a telecommunications company, has been leveraging machine learning (ML) to improve its customer experience, business processes, and overall competitiveness in the market. The company's ML team, led by Habib Baluwala and Aadil Dowlut, has developed over 50 models in production, with a focus on improving marketing efficiency, predicting churn, and optimizing business processes. Spark New Zealand uses an ML observability platform like Arize to monitor model performance, detect drift, and provide insights into fairness and bias. The company's approach to building versus buying an ML observability solution was initially considered internally but ultimately led to the adoption of a commercial platform due to its ease of use, speed, and reliability. With Arize, Spark New Zealand has been able to speed up time-to-resolution for model performance issues and improve model improvement by better understanding and addressing customer behavior. The company's leadership prioritizes ML observability as a core part of its business, and the MLOps pipeline is at the heart of model development and automation. For those entering their first ML or data science role, Habib Baluwala advises taking time to understand the fundamentals of machine learning, understanding the business problem first, and not skipping any steps in the data science process.