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IBM Db2 13 for z/OS – AI Enriched

 

Enriched AI helps to improve operational efficiency and reduce costs.

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As organizations embark on their AI journeys, they face increasingly complex data management challenges – rapid data growth, rising operational costs, spreading siloes of duplicated data, demands for the most current data, faster and more accurate decision making, infusion of AI into their applications and transactions, growing regulatory requirements – all while reducing their security exposures wherever and however their data is stored.

As part of a data and AI solution, organizations are recognizing the value of a data fabric as a data management architecture that can help optimize access to data and intelligently curate and orchestrate it for self-service delivery to data consumers.  A data fabric can help provide faster, trusted AI outcomes by connecting the right data, at the right time, to the right people, from anywhere it’s needed.

Db2 for z/OS has a rich heritage of delivering the necessary qualities of service to address these pains points through its capabilities to:

  • Host and manage the world’s most business critical and up-to-date data.
  • Deliver the highest qualities of service to support modern mission critical AI and hybrid cloud applications.
  • Drive technical and cost efficiencies designed to address the unprecedented demand for secure, reliable, direct access to systems of record data.
  • Revolutionize Db2 management through new simplified experiences, powered by AI.
  • Simplify accessibility to mission critical data without moving or copying data.

 

Announcing IBM Db2 13 and Db2 AI for z/OS (Version 1.5)

Today, IBM announced the general availability of Db2 13 and Db2 AI for z/OS. Db2 13 for z/OS (Db2 13) delivers leading-edge AI innovations and enhancements, reinforcing it as the foundation for enterprise computing within the hybrid cloud and digital world - and a key component within an enterprise’s data fabric.

IBM Db2 delivers significant innovations and capabilities:

  • An innovative integrated approach to developing and deploying AI insights within applications
  • Infusing AI to help improve operational efficiency and reduce costs
  • Enhanced resiliency, efficiency, and application stability for unparalleled availability
  • Synergy with IBM z16 for enhanced efficiency and differentiating business value
  • Simplified database management and upgrades to help accelerate feature adoption and time to value

Db2 AI for z/OS helps organizations infuse AI throughout operations, transactions and applications for improved efficiency and better business outcomes. Here are a few examples:

  • Uses ML and AI to help improve operational performance and maintain the health of Db2 systems
  • Revolutionizes Db2 management through new simplified experiences, providing self-tuning / self-managing capabilities to Db2 for z/OS powered by AI
  • Provides better operational control over Db2 AI for z/OS processing
  • Addresses enterprise security and audit requirements with multifactor authentication
  • Applies intelligent insights using AI to predict and troubleshoot database performance

 SQL AI-Driven Data Insights

Competitive advantage hidden in data relationships can be difficult to identify which can result in missed opportunities for monetization. Traditional machine learning approaches can be effective, but require the right skills to draw out this valuable information and as such these relationships and insights could be completely overlooked unless done properly. Machine learning and data science approaches are often perceived as highly tailored processes requiring customized extract, transform, and model building processes along with additional infrastructure and software, requiring highly specialized data science skills.

IBM software is designed to help automate many of these complex challenges by applying machine learning throughout an organization’s AI journey involving the collection, organization, analysis of data and infusing AI into business processes and applications.

The Db2 for z/OS SQL Data Insights feature simplifies the data science process, helps reduce the time necessary to take advantage of AI, and identifies valuable hidden insight within enterprise data. It offers an innovative integrated approach to developing large-scale AI insights within a relational database for better business decisions. SQL Data Insights extracts exceptional business insight from Db2 for z/OS data through embedded, self-service AI functionality.

Db2 for z/OS provides automated neural network-powered semantic reasoning to identify similarities and correlations between Db2 for z/OS data points and relationships and extrapolate from one concept to another. With SQL Data Insights, customers can incorporate AI functionality within Db2 for z/OS applications and business intelligence (BI) tools to reduce infrastructure complexity, simplify application development, and deliver faster AI time to value.

Some of the key capabilities of SQL Data Insights are:

  • Uncovers data relationships and implicit insights hidden within customers' Db2 for z/OS data through SQL Data Insights AI-enhanced SQL
  • Enables any application, such as customer service and mobile applications, that can access Db2 for z/OS data to use SQL to benefit from AI insights
  • Uses Natural Language Processing to build Artificial Neural Network models on existing Db2 data without requiring data scientist skills
  • Delivers model-based explain capability
  • Exploits IBM z16 optimization to speed up training and query

Readily integrating AI within applications helps identify and monetize hidden insights within the data using SQL Data Insights that would otherwise be overlooked.

Learn More - Check out the Db2 SQL Data Insight Product Demo

AI infused in Db2 for z/OS for improved performance

Db2 for z/OS infused AI helps reduce staff costs and enhances application performance. It learns the patterns from the collected data from workloads in customers' unique operating environments and determines the optimal paths for SQL statements entering Db2 for z/OS. Infused AI technology reduces the need for data scientist support.

These AI capabilities help to better serve business and technical insights with improved support for application growth and performance with smarter insert processing, reducing the need for DBA performance-tuning expertise. Additionally, Db2 13 is designed to deliver the following features in these key areas:

  • Reduced CPU and index maintenance costs that help enterprises grow workloads.
  • Improved insert performance for PBG tablespaces.
  • With Db2 13, APREUSE offers the option to manage a more granular level access path reuse and reduce error or warning cases from rewritten queries.
  • Help reduce downtime for implementing application changes.
  • Enhanced sort optimization, which helps improve the performance of certain operations without changing how Db2 for z/OS is used.
  • Fast index traversal (FTB) support for larger index keys.
  • Reduced overhead for replication of subsets and data partitions.

Infusing AI helps to improve operational efficiency, reduce costs, and increase database administrator (DBA) productivity. Customers can experience improved application performance and business resiliency by exploiting AI and Machine Learning (ML) technology because it helps support application growth and performance with smarter insert processing. It can also help reduce CPU utilization through improved index maintenance, smarter sort optimization, and improved concurrency while minimizing any downtime when implementing application changes.

 

Enhanced Scalability, Security, and Compliance

Businesses need to be able to rapidly and dynamically adapt and react to changes in the marketplace. They should be able to expand their systems quickly and easily to meet the needs of the business, both for the long term or short term – including temporary seasonal changes or peak periods, without impacting availability. Db2 13 supports new and growing workloads without having to enact deep changes to the Db2 for z/OS environment.  It offers improved storage conditions, higher concurrent threads, and increased concurrent data sets for other Db2 activities. The Db2 installation and process for customizing the amount of private storage has been enhanced. There is also enhanced Disks Data Format (DDF) storage relief, which provides the means for customers to grow while helping to reduce outages. Organizations can also benefit from  the enhanced scalability and improved serviceability.

With each new release, Db2 for z/OS gets faster and more securable. In database environments security is critical. Continual monitoring for compliance with standards improves security.  To this end, Db2 for z/OS adds automated compliance evidence data collection that enables the IBM Security and Compliance Center solution to provide Db2 for z/OS customers with the compliance posture of application and infrastructure running in a Db2 for z/OS environment. This simplifies the regulatory controls validation for audits. And DBAs can create routine packages within the trusted context of Db2 for z/OS, which can result in significant productivity gains.

 

Db2 13 and IBM z16 – Better Together

Sometimes, things are just meant to be.  Downtime is the enemy of a business. It costs both time and money and can have grave consequences for organizations that are not sufficiently prepared, sometimes resulting in irreparable brand damage, public confidence, and trust. Analyst reports demonstrate that downtime costs $5,600 per minute on average. This results in average costs between $140,000 and $540,000 per hour, depending on the organization. Db2 13 increases resiliency with the exploitation of system recovery boost, which helps improve restart performance and minimize downtime. Db2 can exploit the IBM z16 hardware as follows:

  • New System Recovery Boost (SRB) in IBM z16 can help improve Db2 for z/OS restart performance, thereby minimizing downtime
  • Better insights to tune Db2 performance in data sharing environments with the exploitation of IBM z16
  • Expanded SORTL instruction usage based on machine learning on the amount of storage and the number of records being sorted, requires IBM z15 or higher
  • Exploits IBM z16 optimization to speed up training and query

 All this adds up to enhanced efficiency and differentiating business value for organizations.

Database Management and Upgrades - Simpler and Easier than ever Before

With all the benefits and capabilities, Db2 13 can help improve an organization’s time to value, enabling organizations to exploit new features and functions designed to avoid impacting availability, security, or performance. Organizations can enjoy the simplified process to upgrade to Db2 13 in a single phase. There is improved ability for Independent Software Vendor (ISV) products to better support data replication environments through the ability to write decompression dictionaries to the Db2 log – along with improved performance through enhanced REORG INDEX and the collection of real-time and historical information regarding utility executions.

 

Your Next Steps

This blog highlights just some of the key capabilities, benefits, and features of what IBM Db2 13 for z/OS has to offer organizations as part of their Journey to AI. It should hopefully remove any doubts as to why to upgrade from earlier versions.

If you need help with any aspect of your Db2 installation, implementation or upgrading, IBM provides help in the form of its many services offerings such as IBM Systems Lab Services, IBM Consulting, IBM Technology Support Services, IBM Expert Labs, IBM Security Expert Labs.

 

If you’re interested in learning more about Db2 13 for z/OS and its many benefits, please visit:

 

Steven Astorino,

VP of Development, Data and AI, and Canada Lab Director

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IDUG North America 2022 | Boston, MA | July 11-14  REGISTER NOW

 

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Registration is Open Now!

IDUG's 2022 North America Db2 Tech Conference will be held at the Sheraton Boston on July 11-14, 2022 [some optional pre-conference events could occur on July 10, 2022]. 

This year’s North America event is a hybrid conference: you can register to attend on-site or to participate online. Register now for the conference, then (if you will be participating on-site) reserve your lodging at the Sheraton Boston!

Conference Sponsorships Available... 

Connect with your customers at IDUG 2022 NA! Click here for the sponsor prospectus that explains exhibit and marketing opportunities to share your expertise with our audience. IDUG will be bringing together the global Db2 community for four days of in-person exploration and collaboration in July. Reach out to us at cyndi@teamycc.com to learn about all our opportunities.

Schedule & Speakers Announcements Coming Soon...

IDUG’s North America Conference Planning Committee (CPC) is finalizing the schedule and speakers for IDUG 2022 NA. If you have any questions about the schedule and speakers, please reach out to CPC member Chris Muncan at chris.muncan@gmail.com

 

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Tablespaces: where exactly is my data?

By Mark Gillis

This should be pretty straight-forward: you can look in the TABLES System Catalogue and find references for the data (TBSPACE), Indexes (INDEX_TBSPACE) and Large Objects (LONG_TBSPACE). But DB2 throws a few curved balls here; partitioned tables (where the data, indexes and LOBs can be in multiple tablespaces), particular types of index that don’t seem to be in the catalogues at first glance, etc. Let’s see if we can put something together that shows the complete picture.

 

Overview

I’ve got a little database with all sorts of weird and wacky objects. It’s tiny, in terms of volume, but includes row and column-organized tables, range-partitioned tables, MQTs and a bunch of other stuff. Some tables have the full “INDEX IN … LONG IN ….” Tablespace definitions but don’t actually use them, some don’t have any or all the tablespace directives. I want to be able to see the full picture, so how do I go about that?

Click here to find out. 

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This is the third article of a four-part series addressing Db2 for z/OS and modern development utilizing an Agile methodology and DevOps processes. To read the first two articles please follow these links:

https://community.ibm.com/community/user/hybriddatamanagement/blogs/daniel-luksetich/2021/06/21/traditional-db2-development-vs-modern-development

https://community.ibm.com/community/user/hybriddatamanagement/blogs/daniel-luksetich/2021/08/09/devops-and-modern-it-defined

There has undoubtedly been substantial confusion concerning the various IBM software products that provide mainframe connectivity for web applications, what they do, what they cost, and what needs are they trying to serve. These include, but are not limited to; z/OSMF, z/OS Connect, Zowe (not IBM software, but open-source software that runs on z/OS), CICS Transaction Gateway, and now The IBM Unified Management Server for z/OS. Are all these servers related? No, they are not! Can some of the functionality of these servers overlap? Perhaps, but that is not the focus here. The question to be answered is what is the IBM Unified Management Server (UMS) and what benefits can be derived from installing it on a z/OS system?

To read the entire article follow this link:

https://community.ibm.com/community/user/hybriddatamanagement/blogs/daniel-luksetich/2021/09/14/the-ibm-unified-management-server-and-db2-for-zos

 

Read more…

This is the fourth in a four-part series of articles addressing Db2 for z/OS and modern development utilizing an Agile methodology and DevOps processes. To read the first three articles please follow these links:

https://community.ibm.com/community/user/hybriddatamanagement/blogs/daniel-luksetich/2021/06/21/traditional-db2-development-vs-modern-development

https://community.ibm.com/community/user/hybriddatamanagement/blogs/daniel-luksetich/2021/08/09/devops-and-modern-it-defined

https://community.ibm.com/community/user/hybriddatamanagement/blogs/daniel-luksetich/2021/09/14/the-ibm-unified-management-server-and-db2-for-zos

In this article we address the critical needs of the Db2 for z/OS professional and the way these needs are met with the IBM Db2 DevOps Experience for z/OS. In addition, it will look at the needs of the modern Application Developer and the enterprise advantage to keeping your systems of engagement and innovation close to your system of record.

To read the entire article follow this link:

https://community.ibm.com/community/user/hybriddatamanagement/blogs/daniel-luksetich/2021/11/03/ibm-db2-devops-experience-for-zos

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By Mark Gillis

There are easily accessible means of checking what your Stored Procedure needs in the way of dependent objects (SYSCAT.ROUTINEDEP, basically). So, what if you find a, or a number of, Stored Procs that are marked as needing a REBIND and then, when you do that rebind, you get an SQL0440 indicating that “something” is missing. How do you go about checking that situation out? Find out here

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In-Database AI Client Experiences with Db2 for z/OS + Demo 

Don't  miss this live webcast on 2nd November 2021 - 11:00AM EST
Tom Ramey will highlight some of the key challenges facing Db2 for z/OS clients and how AI is a breakthrough technology, that when applied to Db2 for z/OS performance management and resiliency can have a major impact. Tom will be joined by Benny Van Straten from Rabobank and Tom Beavin from IBM.  Tom Beavin will share Db2 AI use cases and host a live Db2 AI demo.Rabobank is a Dutch multinational banking and financial services company; Benny will share first-hand experiences and lessons learnt around Db2 AI for z/OS and the power of in-database AI.

 What will you learn by attending this webcast?

  • Hear first-hand client feedback and experiences
  • Learn how Db2 AI improves SQL performance using machine learning based on unique patterns found when executing the queries in a production environment. 
  • Learn how Db2 AI automatically detects SQL access path performance regressions and automatically restores the performance back to its optimal level
  • Learn how Db2 AI automatically stabilizes dynamic queries with their optimal access path, reducing prepare overhead

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Tom Ramey IBM WW Director, Data and AI on IBM Z

Benny van Straten IT Specialist/DB2 Rabobank

Akiko Hoshikawa IBM Distinguished Engineer

Tom Beavin IBM Db2 AI for z/OS Development Machine Learning and Optimization

 

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By Sowmya Kameswaran and Jens Müller

 

As we all know, Db2 for z/OS has one of the largest footprints in the enterprise database world. Your organization may have all or most of its' business critical data on Db2 for z/OS (you are not alone and we wouldn't recommend you to change a thing about that!). We realize though that many organizations are experimenting with or, rearchitecting and extending their infrastructure to take advantage of hybrid cloud.
With the changing environment and importance of hybrid cloud, cloud-based applications need easy, secure access to this data for modern applications. IBM Db2 Data Gate for z/OS makes data from Db2 for z/OS readily accessible on the IBM Cloud Pak for Data platform for business users and application developers.
 
As-is scenario
We have embarked on an exciting era of compelling modern application development. There is a surge in both reporting applications requiring read-only access to transactional data as well as data-intensive analytics applications requiring access to historical data. Organizations are developing new compelling applications for differentiating services delivered to their customers. Since much of this data originates in Db2 for z/OS, many organizations have built custom ETL (extract, transform, load) jobs to extract and load this data into other databases to support their application needs. While this approach may work in the short term, some of the problems with this approach are:
 
  1. Expensive to create and maintain over the course of time (due to complexity, and the costs of synchronizing source and target databases, and ensuring transactional consistency if necessary)
  2. Data security concerns once data is moved from where it originates
  3. Increased operational processes and cost on IBM Z
 
Why Db2 Data Gate
  • It is an integrated solution to securely access data from Db2 for z/OS on the cloud without the need for direct access to Db2 for z/OS.
  • Avoids significant investment in building and maintaining custom ETL solutions to move Db2 for z/OS data.
  • Provides better data currency via the Integrated Synchronization feature that replicates data from Db2 for z/OS to IBM Cloud Pak for Data.
  • Significantly reduces (operation) cost of data replication on mainframe since 96 % of the underlying data synchronization technology is zIIP eligible.
  • Enables modernization and transformation in your enterprise's Journey to Cloud.
  • With Integrated Synchronization, the data availability for applications accessing data from the source is not affected (source tables are fully online for reading and writing) while data is replicated to the target.
  • HA/DR is built directly into IBM Cloud Pak for Data 

 

Architecture highlights

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Db2 Data Gate is based on Db2 (row store) or Db2 Warehouse (column store) as the target databases within IBM Cloud Pak for Data. This model makes it suitable for supporting  applications that require row level access  as well as analytical applications that benefit from column based data store. Only one Db2 for z/OS database can be used as the data source. The key aspect of the architecture is the Integrated Synchronization feature which is optimized to replicate data from Db2 for z/OS to Db2 running under IBM Cloud Pak for Data.
 
With Db2 Data Gate and the target database running on the IBM Cloud Pak for Data platform, the solution works wherever the platform is able to run – private, public or hybrid cloud implementations, thus making relevant data readily available to application developers and business users where they need it.
 
Lab performance benchmarks
Db2 Data Gate boasts unrivaled performance when compared to any other data synchronization tool synchronizing data from Db2 for z/OS to Db2 (Warehouse).
 
With IBM Cloud Pak for Data and Db2 Data Gate installed on Linux on IBM Z, using Db2 Warehouse as the target database using hostPath data storage:
 
  • Peak load performance (for making initial copy): 2.1 TB/h
  • Peak synchronization performance: 200k rows/sec at 1.2 secs peak latency
 
Db2 Data Gate does not:
  • Replace traditional transactional systems since it only provides read-only data access to source data
  • Serve as a replacement for other data replication technologies because it supports only one source and one target and also does not support bidirectional replication or data transformation
  • Support data versioning and hence is not an operational data store
  • Guarantee data currency for high-volume transactional workloads. It is not a carbon copy of source data. Meaning, applications requiring absolute currency should access data at its point of origin.
 
User Interface snapshots
 
Db2 Data Gate provisioning
Select the target database type and deployment, resource allocation and network routing to proceed with creation of the Db2 Data Gate instance.
 
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Setting up source
Once the instance is created, the first step is to point the Db2 Data Gate instance to the Db2 for z/OS subsystem to be used as data source.
 
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Select and add tables from source to target
The next step is to select the tables to synchronize data from source to target.
 
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Db2 Data Gate dashboard
Overview of status and activities associated with the provisioned Db2 Data Gate instance.
 
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Db2 Data Gate in action
The video below demonstrates the Db2 Data Gate end user experience. One of the key aspects to note is that when the source tables are added, loaded and setup for synchronization with Db2 Data Gate, there is no impact to concurrent workloads executing on the source tables. The source tables are fully online for reading and writing while Db2 Data Gate makes the copy and starts synchronizing.
 
 
Our next blog ...
Next time we will look at Db2 for z/OS Data Gate and Watson Knowledge Catalog integration.
Read more…

REGISTER NOW starting at 11am EST 4pm UK
https://ibm.biz/BdfanX
Live Webcast 21st September 11:00 AM EST live Q&A panel
Title: Get ready for Vnext - become AI enterprise!

Get a sneak preview into what around the corner in the World of Db2, and get a head-start for planning your migration to Db2 VNext. This is an event you do not want to miss. 
IBM Db2 for z/OS is investing for leadership in the AI, cloud, and analytics era, extending our Z platform heritage of 24x7 availability, security, scalability & performance, while simplifying & modernizing to maintain Db2 as a top choice for next-gen IT professionals without requiring deep Z skills. This webcast will provide guidance on how to ensure that you get a head-start and are ready to upgrade to Db2 Vnext 

Cris Molaro - IBM Gold Consultant will be giving an independent user view regarding challenges clients are facing during the current technological industry trends. 

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#db2z #ai #scalability #cloud #security #analytics #IDUG #Db212#machinelearning #agile #automation #ibm #IBMZ #innovation #event

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DB2 on Apple Silicon

By James Cockayne

Apple’s Macs have been a popular development platform for many years now, but IBM have never really committed to supporting DB2 servers on macOS it seems.  There was a version of DB2 Express-c v9.7 made available some years ago, but it was lacking features and is obviously way too far out of date to consider these days.  A useful solution was to run Docker containers, or full virtual machines with Linux or Windows to make DB2 available locally, but the switch to the new Apple Silicon processors, or the M1 chip, means the Mac now uses the ARM64 instruction set rather than sharing the Intel/AMD x86-64 processors common to Windows and Linux platforms – and there is no option to download a copy of DB2 that runs on this processor.

So is that the end of having DB2 installed locally?  Not quite.

Click to continue reading

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Check out this new "Complimentary" Db2 AI for z/OS Version 1.4 Red paper Installation and Configuration

Learn More

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Abstract

Artificial intelligence (AI) enables computers and machines to mimic the perception, learning, problem-solving, and decision-making capabilities of the human mind. AI development is made possible by the availability of large amounts of data and the corresponding development and wide availability of computer systems that can process all that data faster and more accurately than humans can.

What happens if you infuse AI with a world-class database management system, such as IBM Db2®? IBM® has done just that with Db2 AI for z/OS (Db2ZAI).
Db2ZAI is built to infuse AI and data science to assist businesses in the use of AI to develop applications more easily. With Db2ZAI, the following benefits are realized:


  • Data science functionality
  • Better built applications
  • Improved database performance (and DBA’s time and efforts are saved) through simplification and automation of error reporting and routine tasks
  • Machine learning (ML) optimizer to improve query access paths and reduce the need for manual tuning and query optimization
  • Integrated data access that makes data available from various vendors including private cloud providers.

This IBM Redpaper® publication helps to simplify your installation by tailoring and configuration of Db2 AI for z/OS®. It was written for system programmers, system administrators, and database administrators.

Table of contents

Chapter 1. Architectural overview
Chapter 2. Road map for planning to installing
Chapter 3. Planning
Chapter 4. Security and configuration considerations
Chapter 5. Installation, customization, and configuration
Chapter 6. Administration and maintenance

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Db2 for z/OS and JSON

I wrote a very short story about using the JSON/SQL support in Db2 for z/OS. I also wrote an introduction to JSON support in Db2 for z/OS article for IDUG.

The story and link to the IDUG article is here:
https://www.db2expert.com/db2expert/introduction-to-db2-for-z-os-json-sql-support/

This is a direct link to the IDUG article, but you need an IDUG login account (which is free).
https://www.db2expert.com/db2expert/introduction-to-db2-for-z-os-json-sql-support/

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Live Db2 12 Client Panel 30th June 2021 - Sign Up today!

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HURRY SIGN UP TIME IS HURRYING OUT

Summary

Db2 for z/OS is the strategic enterprise database that has evolved and adapted to meet client needs for over 35 years. John Campbell IBM Distinguished Engineer has been one of key developers from IBM Silicon Valley Lab that has been extremely influential in driving some of the innovation around the core strengths and business value of Db2 for z/OS.

We are bringing together some of our Db2 for z/OS clients so that they can share some of their "use cases" and experiences around Db2 12 upgrade journey and discuss how they are exploiting, planning to exploit the new technology to leverage  their Db2 for z/OS data to gain data insights and drive competitive business advantages.

Register Now to join this Db2 for z/OS client panel where John will host a live interaction panel with some of our clients that have traveled this journey with IBM.

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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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The IBM Enterprise Data & AI Virtual Symposium is HERE

REGISTER NOW  https://ibm.biz/DTS27thApril2021 

Join the live client panel and hear directly from our customers, see how data originating on IBM Z is accelerating the "AI Journey" for enterprises.

#IBMZ #Mainframe #AI #DATA #Analytics #cloudadoption  #machinelearning#deeplearning #dataanalytics #event #ibmcloud #digitaltransformation#artificialintelligence #ml #bigdata #Db2z #Db212 #deeplearning

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When:  Apr 27, 2021 from 10:00 AM to 12:00 PM (ET)

REGISTER NOW! SECURE YOUR PLACE

Successful digital transformation demands integration between your AI and hybrid cloud strategy – with data at the core. This symposium will feature Tom Davenport who will share his insight on the role of AI and the new mandate to drive return on investment. 

IBM technology helps drive intelligent, efficient data serving for modern applications, real-time analytics from data at the point of origin and AI embedded transactions for insight when milli-seconds matter. This will be an event you do not want to miss! 

Keynote Tom Davenport - Return on AI:  The New Necessity 

Tom Davenport is an American academic and world’s top selling author specializing in analytics, business process innovation, knowledge management, and artificial intelligence. He has also been named one of the top three business/technology analysts in the world and one of the 100 most influential people in the IT industry. He earned his Ph D from Harvard University and has taught at the Harvard Business School, MIT and the University of Chicago, the Tuck School of Business.

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Infuse Data, AI and ML into your core business processes for actionable insight - Sam Buhler, IBM Director, Offering Management

Keeping pace today requires that IT organizations think differently about how to leverage and modernize existing resources to drive change and innovation. With all the hype around new technology, cloud platforms and development approaches, you might be wondering how IBM Z and the transactional data that resides on it fit into this changing landscape. The optimal position for today’s IT organization is to be a full-fledged partner with lines of business to drive revenue and deliver on an organization’s strategy but IT organizations need to modernize. 

Client Experiences on Data, AI, Analytics & Db2 for z/OS - Tom Ramey, IBM Director, Data & AI            

Tom will lead a discussion around key use cases involving Db2 for z/OS data.  This will cover how IBM clients are leveraging data, AI, Analytics, Machine Learning, DevOps Hybrid Cloud and more to drive a competitive advantage. 

Followed by Live Q&A with all our presenters

This will be an event you do not want to miss! 

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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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Business and Technical Value of Top Ten Features in Db2 12 for z/OS Continuous Delivery
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Date: Tuesday, March 23, 2021

Time: 11:00 AM Eastern Daylight Time

Duration: 1 hour, 15 minutes

Abstract

One of the most valuable resources for modern businesses is business critical data.  Data can be used to provide insight into every facet of the business from operations to market trends. Powerful data enables effective and efficient business decision making and your enterprise  data is only as powerful as your ability to harness it. Storing, analyzing, and managing data in today's world is a enormous undertaking as the amount of data continues to explode.  

Everyone knows that Db2 12 introduced a continuous delivery model so that we can be more responsive to our clients' needs. As a result we have delivered over 100 new enhancements in the maintenance stream to date including many features that increase availability, scalability and performance, and address the future of mobile and cloud computing.

Now with the prospect of Apollo on the horizon, Haakon Roberts, IBM Distinguished Engineer,  and Sowmya Kameswaran, Db2 Technical Lead,  will take a look at what has been achieved and what are generally considered to be some of the most important new features delivered in this timeframe and why they should matter to you.

Objective of Webcast

The objective of this webcast is to ensure Db2 for z/OS users are :-

  • Aware of the new Db212 features and functions since General Availability
  • Understand how they are addressing  the changing needs of enterprise clients
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Haakon Roberts
IBM Distinguished Engineer, Db2 for z/OS Development.
IBM

Haakon Roberts has nearly 30 years' experience working with DB2 on the mainframe platform covering various aspects of systems programming, database administration, software support and development. He is a Distinguished Engineer at the IBM Silicon Valley Laboratory in San Jose, California, the chief technical architect for DB2 for z/OS Utilities and Tools, and a leading expert in data integrity, availability and problem resolution. He is a regular speaker on these and other topics.

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Sowmya Kameswaran
Db2 technical lead for user experience and transformation
IBM

Sowmya Kameswaran works at the IBM Silicon Valley Labs in San Jose California and leads the User Experience modernization for Db2z platform and ecosystem. Understanding the way users interact with the system and building interfaces to provide the best user experience is what she enjoys to do. Being hands-on into software development helps her go end to end from understanding the kind of experience customers need to getting it built.

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