Meet the Team: Silvia Lara, Senior Data Scientist
Silvia is a Senior Data Scientist in the Customer Success team at Stemly. She studied Computer Science and Physics at Yale-NUS College in Singapore. When she is not busy improving the accuracy of a demand forecasting model, she is probably advising customers on how Machine Learning can improve their processes.
Meet the Team: Chang Wei Tan, Data Scientist
Chang Wei is a Data Scientist at Stemly. He studied Electrical Engineering at Monash University, Melbourne, and further his studies with a Ph.D. in Machine Learning, specializing in Scalable Time Series Classification.
Meet the Team: Arianti Silvia, Product Designer
Arianti is a Product Designer at Stemly. She studied Software Engineering at the University of Brawijaya, Indonesia. She’s been working primarily on Product Design and hand on a few Product Management tasks, and within a few short months, she’s been a curious product learner.
How can AI and ML improve your Demand Planning Process?
Technology is advancing at an increasingly rapid pace, many of the things that we thought were a dream a few years ago are reality today. Artificial Intelligence (AI) and Machine Learning (ML) for use in demand planning have been talked about for a long time and have promised much but delivered little. Until now.