e-book which lays out the case for machine learning and artificial intelligence for mainframe operational analytics. The mainframe is now part of a highly complex connected ecosystem driving trillions of mobile and web transactions critical to the functioning of the application economy. The emergence of new workloads and apps on the mainframe means that the status quo isn’t enough when it comes to Mainframe management. IT professionals alone – whether mainframe skilled or not – simply can’t keep up with the onslaught of performance alerts, false alarms. Machine learning deliver mainframe intelligence a more proactive and automated approach to handle this challenge.
Data is the most valuable asset a business has, and the most important data lives on the mainframe. This critical information fuels the new apps and services that differentiate your business.
And it’s rapidly growing, with each new app creating a new source of data. What’s more, usage demands are increasing as developers seek access to mainframe-based data to promote innovation.
The corporate end-user community provides vital cogs in the wheel of a healthy organization. Users include the call centers, the retail assistants, the service desks, the sales offices and the people who deal with order processing. Yet many of these users are often faced with outdated user interfaces (UIs), and struggle to cope with the levels of efficiency and throughput needed. Worse still, these old systems typically only run on a connected terminal - or ‘green screen’ - but more and more these days, users need web and mobile access.
Micro Focus Rumba+ dramatically improves business efficiency by providing a better user experience. It can also now be accessed from a variety of devices. Let’s take a look at five top reasons to move to Rumba+.
Published By: Symantec
Published Date: Jul 11, 2017
The technology pendulum is always swinging. And chief information security officers must be prepared to swing with it—or get clocked. A look at recent history illustrates the oscillating nature of technology. In the 1980s, IBM mainframes dominated the landscape. In the ’90s, client-server computing came on the scene and data was distributed on personal computers. When the Web assumed predominance, the pendulum started to swing back to a centralized server. Then, just as quickly, mobile took the lead, with apps downloaded to workers’ devices—the new client server. Now, as mobile devices continue to populate the enterprise at a rapid rate, the IT model is changing again—to the provisioning of information on a just-what’s-needed, just-in-time basis from centralized servers consolidated in the cloud. The pendulum continues to swing and IT workloads are moving to the cloud en masse.
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