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An integrated network of personal devices. The smartphone continues to experience explosive growth.  For most people, it is the center of their digital universe and their primary window into personal streams of data, information and content.  Because the smartphone is always on their person and its computational capabilities continue to improve, it will continue to be the center of people’s ecosystem of devices for the foreseeable future.

Today, the smartphone is a multi-functional device that handles email, internet, phone, games and much more.  It also connects and displays information from other devices and services, everything from tablet browser tabs to Netflix movie queues.  New types of mobile products and services will soon come to market that will connect and enhance everything from cars to EKG readers, smart watches to smart glasses and fundamentally change our mobile experience.

This interlinked ecosystem of intelligent products and services will be characterized by connectivity, distributed computational power, and machine learning. Technological developments in networked computing, big data, and machine learning, along with cheaper sensors and more powerful devices make it possible.  Computational power that lives in the cloud will distributed across millions of devices. New sensors embedded in these devices will capture new types of data. Then improvements in data science and machine learning will perform analysis to create mobile experiences that are highly tailored to individuals according to their immediate context and preferences.

A mobile experience that is adaptive, predictive, and responsive.

These new technological developments allow products and services that feel uniquely tailored to individual needs  Providing that device manufacturers and service providers do the hard work of understand how to create new solutions from these technologies that actually serve and benefits the lives of their customers.  The opportunity lies in leveraging mobile experiences that have the following characteristics.

Adaptive

Adaptive services display information and present functionality according to a person’s preferences.   They have the ability to analyze time, location, social setting, and activity to only show what’s necessary and desired.  Adaptive services learn about people’s activities, preference and behaviors and then change accordingly.  They also grow as new technologies and data sources become available. This means a product or system doesn’t become obsolete as soon as a new technology is released. This is especially important for products that leverage data, because mobile changes so quickly.

Predictive

Data has more value if it is contextually intelligent.  This means delivering the right information, at the right time, and in the right way. Doing so requires the service to analyze and learn people’s activities, preferences and needs.  It then estimates what type of information will be needed, when to deliver it, and how to present that information. Predictive services feel magical because they always seem perfectly in sync with people’s lives.

Responsive

Not everyone is willing or interested in buying an entire ecosystem, so it is crucial to ensure that even when a product is purchased as a standalone unit it still creates value for the consumer.  Multiple products can then build upon that experience to create a synergistic effect where one plus one suddenly equals three.  It’s imperative to create services and display information that responds to the device being used at the time, whether it’s a smart watch, smartphone, or console display in a car.

 

By Alonzo Canada