With the growing need for volumes of data required by ML and Knowledge Bases, copying/duplicating potentially Petabytes of data is a real problem. Working with data "in situ" is fast becoming the only viable pattern for enterprises. Additionally, heterogenous data silos are given for big enterprises and aren't going away. Finally, incorporating 3rd party taxonomies/ontologies/datasets for enrichment are yet another example of data sources that need to be incorporated and orchestrated. This suggests the need for a hybrid approach for Knowledge Management.
Principal Cloud Solutions Architect
Oracle
oracle.com
Mr. Sullivan has twenty+ years experience in professional services as a senior architect and tech lead responsible for designing and implementing custom integrated Customer Experience (CX) and Digital Experience (DX) solutions to Fortune 1000 companies using the Oracle stack.
