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Opportunity: Growing demand for personalized user experience
Today's digital users have higher expectations of personalization, convenience and immediacy from their technology interactions. They want their devices, applications and online services to be tailored exactly as per their individual preferences, needs and current context. Delivering such highly customized experiences requires understanding user behavior at a deeper level across multiple touch points over time. This is where context aware systems can help, with their ability to capture signals from user activity and environment and make real-time inferences. As users demand more personalization across more aspects of their digital lives, adoption of context aware techniques is growing among businesses.
A major factor driving this trend is the millennial generation which now forms a significant part of the consumer landscape. Millennials have adopted digital technologies fully in their lives and expect very seamless and personalized services. Right from their leisure activities like music, videos to essential services like finance everything is shifting to digital mediums. Keeping users engaged on various touch points now requires deeper understanding of their aspirations, relationships and contexts. Context aware recommendations engines can piece together disparate user data points to offer hyper personalized suggestions.
Besides consumer facing industries, even sectors like healthcare and education are exploring use of context aware systems. For instance, to enhance remote monitoring of patients by getting situational awareness from their daily living habits and environments. Or helping create more immersive learning experiences for students by adapting content based on their comprehension strengths, location and time availability.
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