Your smartphone is about to get smarter, thanks to artificial intelligence (AI) and machine learning (ML). And that has huge implications for enterprise support for mobility.
Enterprise mobility has long promised to allow workers to be productive wherever they are, to speed up business processes and to improve accuracy and efficiency by putting the most up-to-date data in the hands of workers in the field, says Kevin Burden, vice president of mobility research and data strategy at 451 Research. The addition of AI will help deliver on those promises, he says.
https://www.computerworld.com/article/3286264/mobile-wireless/how-ai-will-change-enterprise-mobility.html/
This article accepts a simple, obvious, and often forgotten premise: software continues to become more complex. Back in the mainframe days, manual code review was possible. That was a combination both simpler code being developed and slower change cycles. Advanced in hardware, software and user experience (UX) have massively increased both the volume and complexity of code. The web, smartphones, and other technology have both meant far more people using technology and causes a service oriented change to work to provide software updates faster.
https://www.forbes.com/sites/davidteich/2018/06/28/machine-learning-and-software-lifecycle-tools-each-must-help-the-other/#2cb1ad571189/
