For most financial institutions, implementing an enterprise-wide ESG investment and risk-management strategy can be cumbersome. Typical ESG data comes from many sources and exists in multiple formats, often needing the application of sophisticated processes to make the data usable.
In this white paper, you’ll learn how global banks create comprehensive ESG investing workflows by harnessing the capabilities of machine learning and cloud-first data strategies to better understand and extract insight from the data at your fingertips.
You will also discover:
- How to harness the capabilities of Snowflake and Microsoft Azure Machine Learning to help adopt a cloud-first data mesh strategy with ESG data
- Ways to implement enterprise-wide ESG investment and risk-management strategies
- The technologies needed to build out ESG data pipelines