webcast (2)

IBM Watson Machine Learning for z/OS 2.3 and IBM Db2 AI for z/OS 1.4 enhancements boost functionality, performance, usability, and simplify deployment

IBM Extends Industry-Leading Enterprise AI

Announcing Watson Machine Learning for z/OS 2.3 and Db2 AI for z/OS 1.4

 

IBM Z continues to deliver AI innovation to help customers take the greatest advantage of their mainframe application infrastructure and data with enhancements to Watson Machine Learning for z/OS and Db2 AI for z/OS.

 

Read the Announcement Letter  

 

IBM Watson Machine Learning for z/OS 2.3

IBM Watson Machine Learning for z/OS (WMLz) 2.3 is the enterprise machine learning platform on IBM Z. It enables organizations to build, deploy, and operationalize machine learning models for in-transaction AI and real-time insights.

 

The latest release, WMLz 2.3, is designed to significantly improve online scoring service performance for various types of machine learning models, especially for deep learning models in Open Neural Network Exchange (ONNX) format. It also includes enhancements for integration with IBM Cloud Pak for Data, installation, configuration simplification, and usability of WMLz base services, and a WMLz model Integrated Development Environment.

 

Also, look for the new IBM WMLz 2.3 Online Scoring Community Edition coming soon -- a lightweight version that provides a no-charge option for clients to try out the streamlined up-and-running WMLz model inferencing, in-transaction approach.

 

Learn more about Watson Machine Learning for z/OS

 

IBM Db2 AI for z/O 1.4

IBM is also announcing IBM Db2 AI for z/O 1.4 (Db2ZAI), a separately licensed product, that uses machine learning to improve the operational performance of Db2 for z/OS systems. It is built on the services that are provided by IBM WMLz to help optimize performance. Db2ZAI 1.4 includes the following enhancements:

 

  • Enterprise readiness, including simplified migration and high-availability management
  • System Assessment graph drill-down, which provides correlation from System Assessment exceptions to potential candidate SQL
  • Enhanced Distributed Connection Control visualization for historical trend analysis and improved profile management
  • SQL Optimization Value Dashboard, which provides a progress report that demonstrates the value provided by Db2 AI for z/OS SQL Optimization

 

Learn more about Db2 AI for z/OS

Join the Launch Webcast: What’s new in Db2 AI for z/OS and Watson Machine Learning for z/OS

Register at https://ibm.biz/BdffvM  This live webcast will take place on June 1, 2021 from 11:00 am–12:00 pm ET with a panel of IBM experts that will share the latest on the new releases of  IBM Watson Machine Learning for z/OS and IBM Db2 AI for z/OS.

 

Speakers include :

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Erika Adkins

Db2 for z/OS Program Director, IBM Silicon Valley Lab

Catherine Wu

Head of Development, Data and AI,  IBM China Lab

Eberhard Hechler

Executive Architect, Data and AI, IBM Germany R&D Lab

 

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Register Now for this double Db2 for z/OS webcast which will be hosted by John Campbell and Frances Villafuerte

REGISTER NOW

Title: Achieving Optimal Availability, Usability and Performance with Universal Table Space - Part 1 & PART 2 

Date: Tuesday, May 11, 2021  and Wednesday, May 12, 2021

Time: 11:00 AM Eastern Daylight Time

Duration: 1 hour, 15 minutes

Achieving Optimal Availability, Usability and Performance with Universal Table Space  -  Part 1 & 2 
In this two part webcast, John Campbell and Frances Villafuerte will introduce and discuss the various types of Universal Table Space type, and provide various hints and tips on how to best use and exploit Universal Table Space. In the second part of this webcast, John and Frances will discuss specifically discuss the performance impact of Universal Table Space, a case study on common PBG UTS INSERT performance issues and possible solutions, the insert space search algorithm for INSERT,  INSERT with APPEND, INSERT Algorithm 2 and index performance using FTB.

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