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Automation Isn’t Accountability: Why the DBA Still Owns the Outcome on IBM Z

Craig Mullins

April 10, 2026

While there is real value in automation and much promise in AI, human expertise will still be required—because humans will still be accountable, Craig Mullins observes

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Future-Proofing IBM i – The New Path to Modernization and Long-Term Durability

March 10, 2026

Long-term utility and durability form the bedrock of IBM i systems in today’s enterprise landscape. These platforms have powered mission-critical operations for decades, delivering unmatched reliability and scalability. Yet, as business demands evolve, modernization – rather than outright replacement – remains key to utilizing its full potential. This modernization approach follows incremental, low-disruption sprints that […]

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Governing Agentic AI: The Mainframe DBA as the Architect of Autonomous Data Workflows

Craig Mullins

January 30, 2026

Craig Mullins explains how mainframe DBA is becoming the link between autonomous systems and data integrity

Articles

Using a Metric Database to Populate Dashboards for IBM i

Rick Flagler

November 14, 2025

Rick Flagler explains how to create a database to contain metrics for dashboard reporting—for the sake of performance, simplicity and flexibility

Articles

AI Agents for IBM i: A Comprehensive Introduction

Adam Shedivy

Devansh Kumar

November 13, 2025

In this installment of IBM's "AI With IBM i" series, IBM AI specialists Adam Shedivy and Devansh Kumar explain how LLMs can be enhanced with knowledge, tools and memory to take real actions

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