Analytics and Data Summit 2019

Learn the fast and easy way to get started performing machine learning with Oracle SQL Developer 18.3’s Oracle Data Miner drag-and-drop workflow UI. In this introductory hands-on lab, learn from experts who will provide one-on-one coaching, guidance, and instruction as requested in several easy to follow Hands-On-Lab Tutorials. Learn how to explore data and apply machine learning algorithms for common ML use cases e.g. prediction, clustering, key factors identification, anomaly detection and market basket analysis. Follow step-by-step tutorial instructions in a machine learning-friendly environment. Ask questions, get answers and come away with basic understanding and a comfort level for using Oracle’s machine learning capabilities on your own data and use cases.

Learn what’s new with the leading spatial platform that’s fast, cloud-ready, and developer-friendly. In this session, we also cover the spatial features in Oracle Autonomous Data Warehouse and Autonomous Transaction Processing Cloud Services, and provide guidance on what to expect with these autonomous database services as well as the planned roadmap. With the Oracle Database 19c release, Oracle Spatial and Graph brings new performance and usability features across the board including the Spatial Studio, as well as enhancements to recently introduced features like support for JSON and Oracle REST Data Services, database sharding, distributed transactions, and web services. With advanced features including vector, raster, Lidar, geocoding, map visualization and more, Oracle Spatial and Graph supports the most demanding, large scale geospatial applications.

This session focuses on how Oracle is applying various Machine Learning technologies to the area of AI Opts to prevent performance issues and maintain availability. Details about the architectures and algorithms used for this Autonomous Health initiative will be covered for both cloud and on-premise database deployments. Specific operational use cases will be covered detailing the strategies and algorithms used to proactively detect performance degradation through the phases of detection, root-cause analysis and targeted corrective actions. The first section focuses on detection based upon data from the operating system and software layers and how normality can be determined and deviations detected in realtime with the goal of preserving session, database, and infrastructure availability. The second section focuses on detection using log and trace file data were the analysis is based on anomalous events or log record signatures. The final section will cover integration into DevOps processes.

A new world with consensus-driven maps and crypto-spatial coordinates is emerging. Find out more and see how to embrace the change by leveraging Oracle cloud services such as Big Data Spatial & Graph and Blockchain. Learn about Blockchain use-cases and their benefits in terms of location and maps and see examples of how to embrace these benefits in your organization - we will look into relevant cases for both private and public sector.

OneGlobe designed and delivered the solution to effectively identify, visualize, and analyze data to understand their customer behaviour and branch performance. The data insights deciphered, have empowered the bank with extremely critical information to their business functions using Oracle Analytics Cloud (OAC). The following solutions have been designed:
1. ATM Performance and Monitoring
2. Network Monitoring
3. Branch Performance Financial KPIs

Python has become an extremely popular scripting language for working with geospatial data. A rich ecosystem of Python geospatial libraries provides algorithms to answer questions such as “How are outcomes correlated with location?” “What areas are the most or least similar?” and “Where are the hotspots?” Using a dataset of nationwide traffic accident data, this presentation shows you how to address these questions by combining the geospatial features of popular Python libraries and Oracle Database.