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Docker, Kubernetes and many other products are implemented in the Go language. Since Go is in the top ranks of most wanted programming languages, this tutorial provides an introduction to Go and explains how to write Db2-based Go applications. You work with the Db2-Go API and learn how to implement programs that retrieve data from Db2 and also modify data. In addition, you get experience with Visual Studio Code and it's Db2 specific extensions. You access a virtual machine in the Cloud that has all required software pre-installed and can be used free of charge for up to one week.

Java is not a new technology; Java has been introduced in late 90’s, Java Stored Procedures are available in Db2 for z/OS since version 7. With the recent hardware improvements and the business demands the use of this technology on mainframe is extending. This presentation will briefly review the Java programming concepts and will aim on its specifics concerning Db2 for z/OS. 

In the life of an application developer, there are many lessons learned how to best interact with Db2 for z/OS. This sessions looks at an exemplary set of lessons that were either learned the hard way by breaking existing applications or the easy way by improving existing applications without causing too much collateral damage. Note that this session focuses on traditional application development for mainframe applications using programming languages such as COBOL.

Detecting fraud within payment systems is one of the top challenges for many IT organizations. Integrating fraud detection applications with payment systems can be complex. IBM and TAS/Mantica have just simplified this effort. IBM has partnered with TAS/Mantica to bring together the power of their Adaptive Intelligence Platform and Fraud Protection Solution with IBM Watson Machine Learning for z/OS. This helps organizations monitor and detect payment fraud in real-time, before a transaction completes, with rel-time scoring via Watson ML for z/OS. This presentation describes how to apply this ML use case for real-time scoring to your payment process. 

Watson Machine Learning for z/OS evolves as fast as data science and there are new features every few months. This presentation will review all the new functionalities as well as dicussing about the life cycle of a machine learning model on z/OS. 

Since Db2 10 for z/OS functionalities like system time, business time and transparent archiving are implemented in Db2 natively. This session demonstrates by examples how to use these functionalities and how they assist application programmers in building such applications. Also the latest Db2 12 for z/OS enhancements for these functionalities are presented and demonstrated.