Watch all the DataMasters Summit 2020 sessions on demand.
The sun is setting on the “old ways” of managing data at modern financial institutions. Spurred on by new regulation, intense competition, and the scale of modern data challenge -- mapping and managing information principally based on rules is on the way out. In its place, the largest financial organizations are turning to machine learning to more precisely manage their complex and diverse data ecosystems. Hear from industry experts driving this change today including the former Director of Customer Data at Scotiabank.
Agencies and departments have a huge problem in their isolated data structures including their geospatial data silos. Each group wanted its own repository with different access points, schema categorization and classification levels, and historically these have been very air-gapped between public and private sources. The National System for Geospatial Intelligence has renewed its focus and mandates to harness the entire GEOINT community through an interactive sharing model of data. But how do we ensure all of that data is cleaned and ready for consumption?
Companies want to grow their data and analytics programs and become more modern and mature—this is part of their digital transformation strategy. At TDWI, we see organizations accelerating parts of this strategy, such as moving to the cloud for data management and advancing their analytics, as they venture into the “new” normal.