2022 - IMS/MachineLearning
2022 IMS/MachineLearning Track
- Details
- Parent Category: 2022 Stockholm
- Category: 2022 IMS/MachineLearning Track
- Hits: 1982
- IMS Sessions: Bryant Park
- Details
- Parent Category: 2022 Stockholm
- Category: 2022 IMS/MachineLearning Track
- Hits: 1900
- IMS Sessions: Bryant Park
Data Science, Machine Learning, AI and other disciplines are helping businesses to infuse intelligence in their processes and application to make better decisions. This session offers an overview about Machine Learning, what it is, its positioning in the context of Artificial Intelligence, what is the difference between Machine Learning and Deep Learning, what are the typical Machine Learning use cases, methods and tools, and why is Machine Learning happening now.
- Details
- Parent Category: 2022 Stockholm
- Category: 2022 IMS/MachineLearning Track
- Hits: 1942
- IMS Sessions: Bryant Park
Machine Learning (ML) is a rapidly growing field of the computer science that has far reaching applications even outside the academics and specialized industries. Thanks to the Big Data (r)evolution, Machine Learning is becoming popular even in smaller businesses. Moreover, there are many tools and projects that allow running ML algorithms even by enthusiasts without a mathematical or statistical background.
In this presentation we will show some of the most common ML algorithms together with their prevalent use cases and we will demonstrate them on very simple examples. We will also discuss a possible integration with Db2.
Objectives:
1. A very brief introduction into ML and basic ideas.
2. A very brief introduction into the available machine learning tools.
3. Discuss the typical use cases on simple examples.
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- Details
- Parent Category: 2022 Stockholm
- Category: 2022 IMS/MachineLearning Track
- Hits: 1812
- IMS Sessions: Bryant Park
As a key component in IBM Z Systems Hybrid Cloud strategy, IMS continues to drive enterprise growth at scale by being at the forefront of the critical transactional data flow. In this presentation, hear how IMS continues to evolve with the current technology landscape in four key facets including Development, Enterprise Integration, Modernization, and Education.
- Details
- Parent Category: 2022 Stockholm
- Category: 2022 IMS/MachineLearning Track
- Hits: 2070
- IMS Sessions: Bryant Park
Provision of databases was never easier. With Ansible, you can now provision mainframe databases. In this session, we will go through all the steps required to provision the IMS database. We will create our own Ansible playbook which will do all the required work for us. Come to see how Ansible can help you with your daily tasks.
- Details
- Parent Category: 2022 Stockholm
- Category: 2022 IMS/MachineLearning Track
- Hits: 1905
- IMS Sessions: Bryant Park
IMS has adopted a continuous delivery model, where new functions are now added as part of the service stream. This session will cover a variety of new functions and improvements made to IMS over the past two years which may have escaped your notice – we all had certain other matters demanding our attention!
- Details
- Parent Category: 2022 Stockholm
- Category: 2022 IMS/MachineLearning Track
- Hits: 1827
- IMS Sessions: Bryant Park
This session will cover configuring IMS to use DB2 through the External SubSystem (ESS ) API.How to define DB2 subsystems to IMS, connect them to dependent regions, sysplex considerations, and security considerations.
- Details
- Parent Category: 2022 Stockholm
- Category: 2022 IMS/MachineLearning Track
- Hits: 1879
- IMS Sessions: Bryant Park
Accelerate your digital transformation calling IMS using REST APIs with z/OS Connect EE.
The digital economy has forever changed how consumers, businesses, and employees interact. To create powerful and useful mobile apps, the use of application programming interfaces (APIs) becomes essential. Nearly 70% of all enterprise transactions touch a mainframe, yet the mainframe is not thought of as API powerhouses. In this session we will present and demonstrate that zSystem are fully conversant with REST APIs. We will guide you through the IBM technologie called z/OS Connect Enterprise Edition to expose an IMS program through a REST API.
- Details
- Parent Category: 2022 Stockholm
- Category: 2022 IMS/MachineLearning Track
- Hits: 1922
- IMS Sessions: Bryant Park
Demo of Consuming a REST API from an IMS program using z/OS Connect EE
zSystem is often seen as a backend system. But it’s not true: zSystem interacts more and more with applications outside of its area, and sometimes outside of the company’s area. It can be a micro service in a cloud provider like Amazon, or Azure. Those micro services use the REST standard to interact with. On the zSystem this standard is not simple to apply in Cobol or PL1. To make this integration smooth, one option is to use z/OS Connect EE. In this presentation you will see how to call a REST API from an IMS transaction with z/OS Connect EE.
Audience level: intermediate
- Details
- Parent Category: 2022 Stockholm
- Category: 2022 IMS/MachineLearning Track
- Hits: 1848
- IMS Sessions: Bryant Park
IMS has been running the world for years. Over those years customers have hit a few bumps in the IMS road and have sometimes used innovative approaches to address the problems they have encountered. This session will look at these real world challenges and customer solutions to them.
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- Details
- Parent Category: 2022 Stockholm
- Category: 2022 IMS/MachineLearning Track
- Hits: 1713
- IMS Sessions: Bryant Park
This session will go thru the basics to enable IMS transaction statistics and the customisation needed to provide IMS application statistics to elasticsearch using IBM Common Data Provider.