Harnessing the power of data in a hybrid cloud environment
In an increasingly crowded business environment, businesses need to stay at the forefront of innovation to get ahead. And the best way for companies to do that is by looking inward -- specifically at their own, preexisting data. Data is every business’ most valuable asset, holding insights that can unlock undiscovered potential. Whether you’re building out fraud detection or working to gain a competitive advantage with new market opportunities, the artificial intelligence (AI) and machine learning (ML) training engines that drive this kind of innovation are only as effective as the data they are given.
Where challenges arise in this process is with the management of data flows. In the past, data has been kept primarily on highly secure, on-premise systems. But more businesses have since been migrating operations to cloud systems, with many opting for a hybrid approach. Research firm Forrester reported that more than 94 percent of U.S. enterprise decision-makers are using at least one type of cloud deployment, with the majority being hybrid or multi-cloud. By modernizing mainframe systems and implementing the right data intelligence tools enterprise leaders can take advantage of all their company data without exposing it to undue threats along the way.