Machine Learning as a Service- Challenges and Opportunities

Machine Learning as a Service- Challenges and Opportunities

Explore the challenges and opportunities of deploying machine learning models as long-term services in this 24-minute conference talk by Dr. Shou-De Lin, Chief Machine Learning Scientist at Appier. Delve into crucial aspects beyond accuracy and efficiency, including data health, model robustness, objective-goal alignment, and bias management throughout the ML lifecycle. Gain insights into the evolving landscape of Machine Learning as a Service (MLaaS) and learn strategies for ensuring sustainable success in ML model deployment and maintenance.