While traditional approaches to data integration provide much needed aid in efforts to synchronize data across silos, this delivery is just table stakes now. To maximize and deliver scalable value of data investments, organizations should employ a semantics-based approach. Semantic frameworks embed human understanding of concepts and relationships with your data assets, helping your systems grow smarter and better equipped to discover rich linkages and reveal non-obvious relationships. Through semantic frameworks, business and technical users can have access to a semantically enriched, highly linked and available store of firm data, upon which they can perform smart data analysis and leverage a reusable framework for deploying machine learning models.
In addition to explaining and making the case for a semantic integration framework, Reclassify AI will cover key use cases and the successful deployment of semantic data integration for AI-enabled decision-making.