TECH TALK
and competitive innovation. It is incredibly securable, making it a prime choice for mission-critical operations and ensuring regulatory compliance. And it remains reliable, available and serviceable as well as cost-effective, even in hybrid IT infrastructure environments that continue to grow in complexity.
Mike Siemasz, director, solution and customer marketing at Rocket Software
These are only a few of the core strengths of the mainframe, but they should be strongly considered as organisations develop modernisation strategies around the platform, whether modernising on, extending into a hybrid cloud strategy, or considering workloads that can be replatformed.
Mainframe data access for AI and analytics
The mainframe has earned a reputation as a mostly barricaded system in data centres; but a lesser-known fact is how adaptable it has become to work with the latest technologies and respond to the evolving needs of the market.
Modern mainframes are designed to integrate smoothly with the latest digital tools and methodologies, ensuring that organisations can continue to build on decades of reliable business logic while also pursuing innovation and greater agility. This flexibility is especially valuable for companies looking to implement AI solutions or leverage realtime data analytics.
The effectiveness of AI and a dvanced analytics relies heavily on the quality and depth of data they process, making the vast historical datasets accumulated on mainframes over decades uniquely valuable.
These rich stores of transactional and operational data provide essential context and continuity, enabling AI tools to identify long-term trends, train more robust models, and generate accurate, unbiased insights.
As a result, organisations should view the mainframe as a strategic data repository that strengthens modern AI and analytics initiatives, ensuring business intelligence fully reflects the depth and complexity of the enterprise and supporting a true competitive advantage in a data-driven world.
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