Mobile Strategies for Combining IoT, CROME, 3D-ME and Artificial Intelligence
None of us like slow mobile applications or those that ask us stupid questions. Our time has value. Google reports 82% of smartphone owners research and compare prices in stores, and we don’t want to be standing in the aisle answering questions the mobile app and vendor should already know. We want our apps to recognize us, the context, and to understand our needs. We want real-time mobile applications connected to mobile commerce vendors running at real-time operational tempos.
In addition to speed, 90% of 18-34 years olds strongly value personalization in their mobile applications. Personalization comes in at least two forms, latent and real-time. Latent personalization means it lays dormant waiting for an application to be launched and then applies a stored personalized content profile. Real-time personalization, however, means dynamic real-time data, consisting of digital, physical and personal (3D-Me data) data, is being always collected and combined with CROME triggers (real-time contextually relevant opportunities, moments and environments) to instantly provide a personalized experience that is relevant now! For example, a security gate automatically opens because it is integrated with a mobile application that geo-fences the security gate. When you are 100 meters away it notifies the security system to open your front security gate, raise the garage door, turn on the inside and outside lights, deactivate the home security system and notifies your family members that you are home. An AI algorithm understands the real-time meaning and context of the data it is receiving.
Real-time data collected via GPS on your smartphone automatically triggered a real-time, relevant event using real-time artificial intelligence algorithms. Combining real-time 3D-Me data, CROME triggers and artificial intelligence with smart devices connected to the Internet of Things (IoT) means more and more of your daily activities and behaviors can be understood and digital conveniences developed.
The scenario above requires an intimate understanding of the customer, their security systems, smart devices, passwords, locations and behaviors. I predict that soon consumer scenarios will justify extending enterprise mobile security systems out to consumers. This means enterprise mobile security vendors may soon expand beyond the enterprise into the integrated consumer mobility/IoT/AI markets as the entire integrated system needs to be secured.
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