Analytics and Data Summit 2018

Every 15 minutes the world’s news is captured into the Global Knowledge Graph. The data set contains nearly a trillion sentiment snapshots and more than 1.5 billion location references. 
Oracle ingested the data set on the Bare Metal Cloud to create a data warehouse. The project was designed to meet the needs of big data users, such as cyber threat and defense intelligence analysts. They require analysis of the connections between people, places, events, content and sentiment embedded in traditional data sources. They also need a pipeline and robust visualizations to filter the data, carve out relevant subsets and save the results to a property graph database for further analysis.
This session will describe the challenges, complexities, and technologies used to create a 35TB data warehouse, and filter, visualize, analyze and write results back, with a single click, to the Oracle Spatial and Graph database using Tom Sawyer Perspectives.

In this session learn about Oracle's soon to be released prepackaged "SaaS on PaaS" cloud applications called "Adaptive Intelligent Applications for Manufacturing". This product is built directly on top of several Oracle’s PaaS components to collect, store, and analyze massive amounts of Operational Technology (OT) data coming from shopfloor systems such as MES, quality systems, LIMS, Equipment, Test stations and contextualizes this data with Information Technology (IT) data residing in HCM/CRM/SCM/ERP applications in a single consolidated operational data store and analyzed by applying advanced analytics, data mining/data science, and AI techniques to discover key patterns and correlations from historical data related to manufacturing efficiencies and also provide actionable predictive analytics to improve yield, reduce defects, reduce scrap, minimize cycle times, manufacturing costs, and equipment downtime.