Shaping the Future of AI-Ready Data Access

Your AI needs data. We deliver all of it — instantly.

Shaping tomorrow’s enterprise, our thought leadership offers strategic insights into the trends transforming enterprise IT — revealing how trusted data, AI adoption, and hybrid architectures are redefining the future of mainframe, cloud, and storage strategies.

Explore actionable perspectives designed to help CIOs, IT leaders, and architects unlock AI opportunities, lead modernization efforts, and drive innovation — securely, intelligently, and at speed.

Shaping the Future of AI-Ready Data Access

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Thought Leadership Paper

AI and Application Modernization: Trends, Challenges, and the Role of Seamless Mainframe Data Access

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Thought Leadership Paper

Accelerating Application Modernization with VirtualZ

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Thought Leadership Paper

The Next Generation of Data Warehousing and Data Lakes: Simplifying the Future of Data Access and Integration

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Thought Leadership Paper

A New Era in Mainframe Storage: Trends, Challenges, and Solutions for the Hybrid Cloud Era

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Thought Leadership Paper

Securing Data Access and Governance in a Hybrid Cloud World

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Thought Leadership Paper

Securing the Core: Strategies for Modern Mainframe Data Governance and Unified Log Management

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Hybrid-Cloud-Observability-Integrating-SMF-Data-with-SIEM

Thought Leadership Paper

Modern Observability for Hybrid Cloud Environments: Expert Insights on Integrating SMF and Management Data with Your SIEM for Advanced Analytics

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A GUIDE FOR CIOs

Unlocking the Strategic Advantage of Mainframe Modernization: A Guide for CIOs

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Thought Leadership Paper

Shaping the Future: Insights for Integrators and Outsourcers to Drive Customer Success in Mainframe Data Management

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Thought Leadership Paper

Modernizing Mainframe Systems in the U.S. Federal Government: Strategies for Secure, Cost-Effective, and Compliant IT Transformation

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Thought Leadership Paper

Understanding the Drivers and Solving the Challenges of Mainframe Decommissioning

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Thought Leadership Paper

The Future of ETL for IBM Z: Addressing Challenges and Embracing Modern, Cloud-Ready Solutions

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Thought Leadership Paper

Eliminating Change Data Capture: A Modern Approach to Mainframe Data Access

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Shaping the Future of AI-Ready Data Access