Integrate AI and Mainframe Data to Accelerate Cloud Innovation

Von Rocket Software

2 Minuten Lesezeit

Tapping into mainframe data for AI-driven innovation

Artificial intelligence and advanced analytics are transforming industries, but many organizations struggle to fully leverage the valuable data stored in their mainframes. These systems hold decades of critical business transactions, customer records, and operational insights—but without seamless integration, that data remains untapped.

The whitepaper, "Die Rolle von Mainframe-Daten in der KI und Analytik von Enterprise neu überdenken," explores how businesses are overcoming these challenges to unlock real-time insights, improve efficiency, and drive smarter decision-making.

By integrating mainframe data with hybrid cloud data in AI and analytics platforms, businesses can:

  • Enhance decision-making with deeper, real-time insights.
  • Discover where and how to improve operational efficiencies.
  • Strengthen security and compliance with AI-driven risk detection.
  • Uncover new revenue opportunities through predictive analytics.

92 %

of leaders are actively pursuing AI to advance data and analytcis initiatives 

76 %

of leaders said they found accessing mainframe data and contextual metadata to be challenging 

Source: Survey conducted by Foundry and Rocket Software in May 2024.

The challenge: unlocking mainframe data for AI

While 92% of organizations are actively investing in AI-driven analytics, many still struggle to integrate mainframe data.

Common barriers include:

  • Complex data extraction and retrieval processes.
  • Security and compliance concerns when moving sensitive data.
  • Limited AI-readiness of core transactional systems.
  • Gaps in technical expertise for managing enterprise data integration.

How Rocket® DataEdge powers AI-driven insights

Rocket® DataEdge empowers businesses to realize greater business value from their AI, analytics, and corporate initiatives, enabling future innovation. By combining powerful data intelligence, data replication and sync, and data virtualization capabilities, Rocket DataEdge can manage and integrate even the most complex data environments.

Explore the full findings on mainframe data and AI

The whitepaper "Rethinking the Role of Mainframe Data in Enterprise AI and Analytics" talks about how businesses are approaching AI adoption, the challenges they face, and strategies for integrating mainframe data into modern analytics platforms.

Lesen Sie das Whitepaper now to explore industry trends, real-world use cases, and best practices for unlocking the full potential of your mainframe data.

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Insight

Die Zusammenführung von Mainframe-Daten mit der Hybrid Cloud für fundiertere datengestützte Erkenntnisse

Viele Unternehmen stehen vor Herausforderungen bei der Anbindung von Mainframe-Daten an Cloud-Infrastrukturen. Tatsächlich nennen 76 % der IT-Entscheider Schwierigkeiten beim Zugriff auf Mainframe-Daten als Hindernis für deren Nutzung.

https://www.rocketsoftware.com/en-us/insights/mainframe-data-hybrid-cloud-data-backed-insights

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Mainframe-Daten bergen das Potenzial, KI-Initiativen und fortgeschrittene Datenanalyseprojekte dramatisch zu verbessern.

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