There are barriers to adoption for mobile AI technologies, however, because of sensitivities around data security vulnerabilities. Historically AI on mobile has been a security challenge because most applications send data to the cloud for processing, which means moving data in and out of your device. (Credit: Trifonenko/iStockphoto.com) There are barriers to adoption for mobile AI technologies, however, because of sensitivities around data security vulnerabilities. Historically AI on mobile has been a security challenge because most applications send data to the cloud for processing, which means moving data in and out of your device. (Credit: Trifonenko/iStockphoto.com)

This article appeared in Cybersecurity Law & Strategy, an ALM publication for privacy and security professionals, chief information security officers, chief information officers, chief technology officers, corporate counsel, internet and tech practitioners, and in-house counsel. Visit the website to learn more.

For over a decade, mobile devices have unleashed new levels of productivity, efficiency and collaboration. Many companies have already moved their IT applications onto mobile platforms for workers who aren’t tethered to a desk (about 70% of the workforce, according to Deloitte). In fact, Deloitte contends that in the next five to 10 years, the 100% mobile employee will be the majority of all workers.

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