BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20240328T182546Z DESCRIPTION:Click for Latest Location Information: http://das2019.dataversi ty.net/sessionPop.cfm?confid=130&proposalid=10670\n
We are at the junctur e of a major shift in how we represent and manage data in the enterprise. C onventional data management capabilities are ill equipped to effectively li nk, harmonize, and understand growing volumes of highly variable data, espe cially when it is dispersed across multiple line of business organizat ions or sourced from external sites containing unstructured content. K nowledge graph technology has emerged as a viable production-ready capabili ty to elevate the state of the art of data management. Knowledge graph can remediate these challenges and open up new realms of opportunities not possible before with legacy technologies.
\nThis presentation will d escribe the operational capabilities and benefits of knowledge graph techno logy, the "future of enterprise data." We will discuss how k nowledge representation and reasoning capabilities using ontologies is the way forward to tame the enterprise data management monster. The Financ ial Industry Business Ontology (FIBO) will be described as an exemplar of a semantically modeled knowledge graph for finance.
\n\n We will describe how semantic graphs can be further enriched with probabili stic associations from machine learning and data mining algorithms. \n We will discuss the evolution of data from strings and numbers to firs t-class semantic objects to distributed representations of concept embeddin gs in vector space.\n We will also describe how knowledge graph technology can provide a layer of "knowledge" over legacy data structures to obtain maximum u nderstanding of content and provide the foundational building blocks for po werful data catalogs and data hubs. Knowledge graph also positions org anizations to better support customer 360, risk management, regulatory comp liance, asset management, and many other use cases.\n\n DTSTART:20191016T083000 SUMMARY:Knowledge Graphs and AI: The Future of Enterprise Data DTEND:20191016T085959 LOCATION: See Description END:VEVENT END:VCALENDAR