3. Social and contextual user experience: According to Gartner, context-aware computing uses information about an end user's or object's environment, activities connections and preferences to improve the quality of interaction with that end user or object. A contextually aware system anticipates the user's needs and proactively serves up the most appropriate and customized content, product or service. The tipping point here could be technology such as near-field communications getting into more and more devices. Some interesting facts here: By 2015, 40% of the world's smartphone users will opt in to context service providers that track their activities with Google, Microsoft, Nokia and Apple continuously tracking daily journeys and digital habits for 10% of the world population by 2015, Cearley says.
4. Application stores and marketplace: The key here is the rise of enterprise application stores that can develop specific apps for users. This will let IT manage and control certain apps. But embracing the idea of user choice might be a difficult concept for enterprise IT to embrace, Cearley says. Enterprises should use a managed diversity approach to focus app store efforts and segment apps by risk and value. Where the business value of an app is low and the potential risk, such as the loss of sensitive data, is high, apps might be blocked entirely.
5. The Internet of everything: The idea here is that we are building on pervasive computing where cameras, sensors, microphones, image recognition -- everything -- is now part of the environment. Remote sensing of everything from electricity to air conditioning use is now part of the network. In addition, increasingly intelligent devices create issues such as privacy concerns. Eventually IT will need some central unified management of all these devices, Cearley says.
6. Next-generation analytics: Most enterprises have reached the point in the improvement of performance and costs where Cearley says they can afford to perform analytics and simulation for every action taken in the business. Not only will data center systems be able to do this, but mobile devices will have access to data and enough capability to perform analytics themselves, potentially enabling use of optimization and simulation everywhere. Going forward, IT can focus on developing analytics that enable and track collaborative decision making.
7. Big data: Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. The key thing enterprises have to realize is that they just can't store it all. There are new techniques to handle extreme data, such as Apache Hadoop, but companies will have to develop new skills to effectively use these technologies, Cearley says.
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