Rethinking the Role of Mainframe Data in Enterprise AI and Analytics

Mainframe data: A powerful source for AI insights

A striking 92% of IT leaders are actively investing in AI to advance data and analytics initiatives, with an average of five projects either planned or ongoing. All these initiatives require data to fuel the AI and analytical models behind them, but where does mainframe data fit into the equation?

With deep amounts of historical information and transactions, mainframe data has the potential to give AI and advanced analytics a huge boost. Unsurprisingly, all respondents rely on the mainframe to store critical data—whether in finance, banking, insurance, telecommunications, retail and eCommerce, higher education, or other industries.

However, only 28% of IT leaders say they are extensively leveraging mainframe data in their data-driven initiatives. This presents a clear opportunity for businesses to unlock even greater value from their AI investments.

Take the next step toward AI-driven insights

To gain deeper insights into how organizations are leveraging or planning to leverage mainframe data as part of their AI and analytics initiatives, Rocket Software, together with Foundry, surveyed more than 200 business leaders and decision-makers.

Read the full report to find out how these leaders and decision-makers view their mainframe data and learn more about the Rocket Software solutions that are primed to help make the most of AI and analytics initiatives.

For a practical look at how to turn your mainframe data into a catalyst for AI innovation, watch the on-demand webinar: