Archive
Past Program
* Date : 2015-12-11
[Trend Insight]
Former shopping Districts Seek Revival
From Dongdaemun Fashion Town and Euljiro lighting shopping complex to Seongsu-dong handmade shoes street, Seoul is filled with specialized shopping districts that were synonymous with their products in their heyday. However, recent years have seen them decline for various reasons. Local governments and business owners are doing all they can to revive their former glory. Let’s take a look at the various efforts to revitalize declining shopping districts.
[IT Observer]
Analogue Meets Digital in Smart Blocks
A team of researchers at KIST (Korea Institute of Science and Technology) have developed smart blocks, which are toy blocks incorporated with communication functions, sensors, LED lighting and camera. As the blocks are capable of near-field communication, they interact with each other. A new form of wireless network called trigger network has been applied to enhance the ease of use. This technology has been developed not just as children’s toys but for the psychological therapy of children and rehabilitation of seniors. It will be showcased at CES next year to make headways into the global market.
[Smart Start-up]
Toss Lab: Collaboration Made Easier with JANDI
Korean startup Toss Lab created JANDI, a communication tool for businesses, offering group messaging, file sharing, and multi-platform support. It also allows users to post comments in real time and encrypt files and conversations for greater security. Riding high on its success at home, Toss Lab has become a first mover in Asia's cloud-based enterprise software business. The team behind JANDI shares its success story including how they got started.
[Question Box]
How Do Personalized Banner Ads Work?
You may have seen online banner ads that exactly match your most recent purchase. They are examples of personalized advertising that is currently trending in the online ad business. Retailers deliver customized, targeted ads that meet the interests of individuals. But how do they collect data about our interests and shopping patterns?
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