Enterprise Mobility, Security and Cloudification Top 2017 Predictions
Cloudification, unified workspaces, machine learning, mobile security and integrating big data technologies will be the key enterprise mobility trends in 2017, with these issues garnering the most attention from CIOs and IT professionals.
At least, that’s the word from Strategy Analytics’ Mobile Workforce Strategies report, “Enterprise Mobility Predictions for 2017,” which explores the major technological developments that IT pros will encounter in the near future. As reported by Enterprise Apps Tech, the study spotlights six key mobility trends and offers guidance on how organizations can best adopt them.
Mobile Computing Takes Off
True business success — or failure — in 2017 will depend on how well enterprise IT teams adopt mobile technology, according to Andrew Brown, executive director of enterprise research for Strategy Analytics.
“In general, enterprises can expect mobile solutions to become more integrated and robust in 2017, as mobile computing becomes the norm and, in many ways, supplants traditional client/server and PC/desktop computing models of the past,” said Brown.
The maturation of enterprise mobility technology drives dramatic innovation. For instance, the unified digital workplace, one of several key trends this year, embraces the mobile worker ethos by delivering the right applications and information to the right workers, regardless of which devices they use, reports Computer Weekly. This approach is far more efficient than shoveling all applications to all devices all the time.
A recent VMware study found that digital workspaces, particularly when connected to mobile systems, boost employee productivity and effectiveness. This benefit may arise from the ability to link workspaces via smartphones, tablets and other mobile devices — a unification concept that spurs knowledge-sharing and can foster innovation.
“The maturity of mobility has led to dramatic business innovation, and the unified digital workplace is one of the key trends in the enterprise mobility space,” Gina Luk, Strategic Analytics’ senior analyst of mobile workforce strategies, said in a company press release. “Mobility professionals must merge their processes into overall IT planning and operations to create the foundation of the digital workplace.”
Cloudification and Machine Learning
The cloudification of the enterprise is projected to pick up steam in 2017, a Strategic Analytics prediction that should come as no surprise to IT leaders. Organizations are beginning to recognize the key benefits of cloud services, including cost savings and flexibility, which are driving more cloud transitions. In fact, a recent 451 Research report found that CIOs plan to spend 34 percent of their 2017 budgets on cloud services, a 6 percent increase over last year.
Machine learning, a type of artificial intelligence (AI) that enables a computer to glean insights and learn from data without being explicitly programmed to do so, is set to go mainstream in 2017. Many organizations will likely combine machine learning with human input to address increasingly complex security issues.
According to researchers at MIT’s Computer Science and Artificial Intelligence Laboratory, machine learning systems that continuously monitor digital information — in conjunction with human input — can predict 85 percent of cyberattacks and reduce the likelihood of false positives.