Gartner Says by 2017 Your Smartphone Will Be Smarter Than You
Smartphones will soon be able to predict a consumer’s next move, their next purchase or interpret actions based on what it knows, according to Gartner, Inc. This insight will be performed based on an individual’s data gathered using cognizant computing — the next step in personal cloud computing.
“Smartphones are becoming smarter, and will be smarter than you by 2017,” said Carolina Milanesi, research vice president at Gartner. “If there is heavy traffic, it will wake you up early for a meeting with your boss, or simply send an apology if it is a meeting with your colleague. The smartphone will gather contextual information from its calendar, its sensors, the user’s location and personal data.”
By 2017 mobile phones will be smarter than people not because of an intrinsic intelligence, but because the cloud and the data stored in the cloud will provide them with the computational ability to make sense of the information they have so they appear smart. “Phones will become our secret digital agent, but only if we are willing to provide the information they require,” said Ms. Milanesi. Regulatory and privacy issues, as well as the level of comfort users will have in sharing this information, will differ considerably across age groups as well as geographies.
To reach a complete personal cloud experience, cognizant computing consists of four stages: Sync Me; See Me; Know Me; Be Me (see Figure 1). Sync Me and See Me are currently happening, while Know Me and Be Me are still to occur.
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About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.