BYOD gets a makeover
Silva says he's seen most businesses struggle with a push to go completely BYOD -- that is, to let employees use their personal devices for work. But as privacy and compliance come to the forefront of mobile device management, businesses are finding it difficult to manage policies around BYOD.
"As the number of apps in the enterprise app catalogs grow, and with them, the number of places on a device that enterprise data can be stored, a need to manage the whole device through traditional MDM has driven many organizations back to corporate owned devices," he says.
But he isn't putting the nail in the coffin for BYOD just yet, noting that BYOD is "not dead, but not the only answer." Rather, he sees a future where businesses might start pushing back on employee-owned devices, but will still find a middle ground to allow workers to bring personal devices into the office. As more employees expect access to business apps on their personal phones, CIOs will need to create more reasonable approaches to BYOD.
MDM is quickly becoming old news. Instead, Gartner coined the term EMM, pointing to a shift in mobile management to complete suites that include multiple tools for device, app and software management. And as the line is starting to blur in what defines a mobile device, Silva says MDM solutions will have "an tough battle against more full-featured EMM suites." If anything, more businesses will embrace EMM platforms and continue to use familiar MDM tools that are included in the suite.
EMM also helps businesses consolidate certain practices -- like compliance regulations for example -- and deploy updates and patches across a range of complex devices all at once. "Solutions that are seamlessly integrated across all existing enterprise systems and platforms will begin to increase in popularity due to their comprehensive visibility and ease of use," says Mitch Berry, vice president of EMM at MOBI.
Machine learning and big data
Silva also predicts that future EMM strategies will employ machine learning to help manage large flows of data and automate data analysis. This will become especially important, as businesses will only increase the amount of data collected as technology becomes more complex, says Silva. Not to mention that, with new data and better automation around data management, it will open doors to "completely new use-cases," for the data, says Silva.
"An example could be an EMM that compiles data on users' movement by seeing what parts of the wireless network they attach to, correlate this with time-of-day and apps being on their device; over time, policies can 'learn' what my behaviors are in a given location and time and serve up the apps or their data proactively," he says.
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