Database

Protected: Solving a Six-Decade-Old Problem

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AI Doesn’t Eliminate Technical Debt—It Amplifies It

Data expert Craig Mullins explains why decades of shortcuts become tomorrow's AI failures as organizations reckon with poor data quality

IBM i 7.5 TR8 and 7.6 TR2 Highlight ‘Zero Downtime’ Aspirations—and the Value of Community Input

The IBM i team highlights enhancements from the latest round of Technology Refreshes

Creating a Containerized Application on Z: A Step-by-Step Guide

In this edition of 'The IBM Z Experience,' Joe Gulla extends a banking application consisting of CICS transactions and data in Db2 databases

Why Your Enterprise Data Isn’t Good Enough for AI, With Craig Mullins

Craig Mullins, author of "The Cost of Good Enough Data: Why Modern Architectures Fail at Scale," goes on IT Social Hour to explain how AI is changing data management standards

Craig S. Mullins Announces New Book: The Cost of ‘Good Enough’ Data: Why Modern Architectures Fail at Scale

The veteran database expert and technology author warns of a growing crisis of data debt that threatens AI initiatives, increases operational costs, creates compliance risks and undermines business decision-making.

When AI Learns From Bad Enterprise Data

It's not about the models, the agents or the RAG. It's about the information you feed to these tools, Craig Mullins writes

Rise of the Agents Part 2:  How Mainframe Teams Work Today

In the second article of their series on agentic AI, technologists from Kyndryl define the strengths, silos and strain that characterize the traditional mainframe operating model

Why Mainframe Data Is Becoming the Most Valuable Data in the Enterprise

Craig Mullins outlines the factors that make mainframe data a strategic asset, including operational discipline, data gravity and AI readiness

IBM i: Putting Integration Front and Center

Amy Williams, principal security services consultant at Fortra, explains how IBM i is evolving without sacrificing the core security and stability the platform is known for