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Welcome to The AI Era Conference 2026: Shaping Tomorrow’s Intelligence Today!

Join us as we navigate the transformative landscape of AI, forge connections, and unlock the potential of tomorrow’s possibilities. Let’s embark on a journey towards a more intelligent future together!
Type: Track E clear filter
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Tuesday, October 28
 

10:20am WIB

E6 | Automating and operationalizing data-driven AI with Db2 SQL Data Insights - new APIs for full control
Tuesday October 28, 2025 10:20am - 11:20am WIB
Aristoteles 1
Db2 for z/OS 13 introduced SQL Data Insights which combines deep learning in artificial intelligence (AI) with advanced IBM Z technologies -- to infuse the Db2 engine with SQL-based semantic queries on user tables and views. The term of large database models (LDMs) in analogy to large language models (LLMs) was introduced to explain how in-database AI can reveal relationships and insights in enterprise data which were previously undiscoverable with SQL. During the past 2 IDUG conferences both the basic principles as well as real business use cases were presented.
The first SQL Data Insights deliveries obviously focussed on outcome rather than on operationalization and automation. 2025 updates closed the gap to manage and administer SQL Data Insights and to deploy models in an automatable, repeatable, and controlled way via APIs. This session explains and demonstrates how these new SQL Data Insights APIs can boost the efficiency when managing and deploying SQL Data Insights models in Db2, from development to production.
Speaker
SE
Tuesday October 28, 2025 10:20am - 11:20am WIB
Aristoteles 1
  Track E

11:30am WIB

E7 | Transforming your Db2 image Copies to Data Pipelines for Generative AI
Tuesday October 28, 2025 11:30am - 12:30pm WIB
Aristoteles 1
In the era of generative AI, the ability to efficiently harness and transform vast amounts of data is paramount. This presentation explores an innovative approach to converting Db2 for z/OS image copies into robust data pipelines tailored for generative AI applications. We will delve into the technical intricacies of extracting, loading, and transforming (ELT) processes that enable seamless mainframe data integration with modern AI frameworks. Attendees will gain insights into best practices for data normalization, pipeline automation, and performance optimization. By leveraging these techniques, organizations can unlock the full potential of their historical data, driving advanced AI models and fostering data-driven decision-making. Learn how to bridge the gap between traditional mainframe environments and cutting-edge AI technologies, paving the way for transformative business insights and innovation.
Speaker
ML
Tuesday October 28, 2025 11:30am - 12:30pm WIB
Aristoteles 1
  Track E

2:00pm WIB

E8 | Deep Dive into SQL Data Insights
Tuesday October 28, 2025 2:00pm - 3:00pm WIB
Aristoteles 1
This session addresses a timely and relevant topic in data management and AI: SQL Data Insights (SDI), a new feature in Db2 for z/OS V13, which enables organizations to extract value from their data without requiring extensive data science skills. Building on last year's introductory session, this presentation responds to attendee inquiries about finding use cases, securing management buy-in, resource needs, and model tuning. As most installations are now on V13, this session will equip participants with practical strategies to effectively leverage SDI, driving greater value from their Db2 data. From a technical perspective, we will discuss how data preparation can enhance the accuracy of an SDI model, and from a business perspective, we will assess models based on business metrics such as profit and savings.
Speaker
TB
Tuesday October 28, 2025 2:00pm - 3:00pm WIB
Aristoteles 1
  Track E

4:30pm WIB

D9 | Monitoring the new multi-tier storage architecture when using Native Cloud Object Storage
Tuesday October 28, 2025 4:30pm - 5:30pm WIB
Aristoteles 2
Db2 v11.5.9 introduced a new Native Cloud Object Storage (NCOS) feature for Db2 Warehouse to decouple compute and storage, and improve scalability, reliability, and performance. This feature introduces a new multi-tier storage hierarchy with a local cache to compensate for the difference I/O characteristics of Cloud Object Storage. For this reason, the feature also introduced new monitoring elements that allow the users to see the physical input/output (I/O) activity in each layer. In this talk, we will dive into the new multi-tier storage architecture, and the new monitoring metrics introduced to discover what they cover, how they work, and how they can be used to get useful feedback for your running applications. We'll go through example use cases. Lastly, we’ll explore the enhancements introduced in the latest Db2 V12.1 release.
Speaker
RH
Tuesday October 28, 2025 4:30pm - 5:30pm WIB
Aristoteles 2
  Track E
 
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