Rossi Bank think they have a problem with fraudulent transactions, they have no idea how much it’s costing, and we need lots of experts to investigate every transaction. The problem is that the knowledge of these fraudulent transactions is stuck inside the expert’s head!

Join us as we show you how to combine the Oracle Autonomous data warehouse with APEX to capture that knowledge and help fight the fraudsters!

From this knowledge, we’ll show you how to build Machine learning models to identify fraud and help combat future fraudulent transactions. In addition to this, we’ll explore how this can be combined with OAC to help the wider business understand the machine learning models.

This session is for developers, data scientists, and analysts searching for complex patterns in data.

Oracle Cloud Infrastructure Data Science is a fully managed and serverless platform for data science teams to build, train, and manage machine learning models using Oracle Cloud Infrastructure. This very demo-heavy interactive deep dive will walk the audience through the steps of machine learning: accessing data in a variety of formats, understanding data, visualizing data, building machine learning models to understand driving “forces” in data, applying models and performing what-if analysis. Come see OCI Data Science in action and bring your questions.

Graph Databases and Graph Analytics have become very popular in the Financial Services industry in recent years. In this presentation, we will show why graph technologies provide new insights into customer data and how graph alogorithms and graph pattern matching can complement relational analysis.

The RDF graph model can be leveraged to create applications that are easy to build and easy to maintain. The flexible schema of RDF makes schema management easy. Rules can be managed in the database, without complex embedding in application logic, making applications reusable in multiple contexts. This session will showcase a sample application for housing management built using Oracle RDF Graph technology, with SPARQL, SQL, and PL/SQL, and ORDS to communicate via REST. Rules and logic are all in the database, making it easy to develop, manage, and maintain.

How do you use Oracle Analytics to predict bad checks and protect a retailer from fraudulent customers writing bad checks?

Certegy is a leader in traditional check acceptance and Automated Clearing House (ACH) payment solutions, risk management, and return check warranty. Come to this session to learn how Certegy is using Oracle Analytics Cloud along with the Machine Learning capabilities of the Oracle database to help its customers combat fraud.

Topics to be covered include:

• Certegy’s migration from dumping data to excel to Oracle Analytical Cloud usage for client presentations and data analytics.
• Considerations in using OAC Subject areas instead of relying exclusively on data sets
• Certegy Risk Department – 3 areas that make up the department and their interdependence
• Data Science – creates the tools
• Risk Analytics – uses the tools to block potential fraudulent activity
• Investigations – works with law enforcement to arrest and prosecute fraudsters
• Techniques for sharing analytic results with others in the organization
• Automation of Investigation reports used as evidence in the prosecution of fraudster
• Certegy’s experience with Machine Learning, from Random Forest to Neural Networks and how they will impact Certegy’s bottom line.

Meet IDA! The United States Sentencing Commissions new Interactive Data Analyzer (IDA) is a tool for exploring, filtering, and visualizing federal sentencing data. USSC understands that data democratization and data transparency are key to adopting a global understanding of insights within the data. Providing data dumps in the form of export files opens the door of possibility to misinterpretation and ad-hoc analysis, which can lead to incorrect decision making.

The ability to embed Oracle Analytics content directly into public websites allows the public to view this content without logging into Oracle Analytics. In turn, making analyses available for public consumption makes insights much more comprehensive for all.

Learn some best practices in embedding Oracle analytics and making insights readily available to your community.

The National Health Service (NHS) is the publicly funded national healthcare system for England and one of the four National Health Services for each constituent country of the United Kingdom. It is the largest single-payer healthcare system in the world. Primarily funded through the government funding and overseen by the Department of Health and Social Care, NHS England provides healthcare to all legal English residents, with most services free at the point of use. Some services, such as emergency treatment and treatment of infectious diseases, are free for everyone, including visitors.

Qubix work closely with the NEP who provide a shared services hub for many of the NHS trusts to provide templated solutions which will enable participating trusts the ability to quickly get up and running with the ability to provide compliant reporting as mandated by the government. The trusts do this on a subscription basis.

One of these templated solutions provides the ability to analyze patient treatment data at a granular level. This presentation will focus on one of the main aspects that NHS treatment units are required to report on. Anyone receiving attention at one of the NHS treatment units should be seen within a four hour window of time. If a patient is not attended to within that time, it is known as a “4 hour breach”.

This presentation will describe the technology employed to underpin the solution, the implementation methodology (taking into account the template approach), and demonstrate use of the tool to track 4-hour breach contributing factors.

Why Is This Topic Important to attendees?
The solution provides a real-life working example of how to employ and use out of the box Oracle technology functionality.

It will describe how templated solutions can be built encompassing a core set of requirements, and yet provide flexibility for the unique analytics of a particular trust to be pursued.

A description of the way in which the software and services can be bundled to remove barriers for organizations participating in the use of the solution will be provided.