Scotiabank's Path Towards Accelerated Analytics Through GCP скачать в хорошем качестве

Scotiabank's Path Towards Accelerated Analytics Through GCP

Speaker: Shimona Narang Data Scientist, Scotiabank Shimona works for Scotiabank's AIML International Banking Analytics team as a Data Scientist. She completed her Masters degree from University of Toronto with specialization in Artificial Intelligence. Shimona has keen interest in transformative technologies like machine learning, deep learning and MLOps to deliver robust analytical solutions. Abstract: Investing in data and analytics has been critical for financial institutions for years, but it has risen to the forefront during the pandemic as a critical tool for assisting customers during difficult times. Recently, Scotiabank has partnered with Google Cloud Platform to strengthen the bank's cloud-first strategy and accelerate its global data and analytics efforts. As part of this partnership, AIML team at International Banking, has been leveraging GCP for analytics experiments, model training, and for operationalizing them. With GCP in place, we achieved enhanced performance on bank operations in Peru Analytics by reducing bottlenecks between data science and engineering teams. Our architecture on GCP also facilitates governing ML artifacts to support auditability, traceability, and compliance. In this talk, we will share our journey of onboarding our machine learning use case to GCP at Scotiabank.