IBM Internet of Things (IoT) research focuses on three components to address the multiple challenges of a scalable, secure and efficient IoT: Technology strategy, business and economic insights, and product and user experience design. By merging these three streams of research, IBM developed a...

It is beyond doubt that the exponential growth in available data will serve many purposes and will be provided for and to many users. To meet the wide range of needs, a business handling data system must meet different criteria. This paper provides an a both qualitative and quantitative...

The telecommunications sector has accessed to large amount of data. When use effectively, this Big Data enables the telcos to achieve efficiency and profitability across the entire telecommunications value chain. However, the potential advantage of Big Data may be tempered by increasing privacy...

Location-based social media data is, increasingly, an important facilitator of exploring the movement of goods and people in and between countries across the globe. Typical examples include Twitter, Facebook, Foursquare. As with all social media data outputs, the fundamental value of...

This paper examines threats to privacy and anonymity accompanying underlying technical changes related to the Internet of Things and big data analytics. Governmental and corporate entities have focused on creating sophisticated graphs of citizens' social media connections and aggregating these...

Textual data and analysis can derive new insights and bring valuable business insights. These insights can be further leveraged by making better future business decisions. Sources that are used for text analysis in financial industry vary from internal word documents, email to external sources...