Project overview
With the exponential growth of data availability and of nearly every aspect of business and social activities, the need for information analysis and synthesis is more timely now than ever before. In fact, by the year 2011, even using all available storage capabilities will not enable us to store more than half of the information generated (see graph). 
Therefore, government and businesses need to incorporate advanced data analytics into their data management strategies in order to extract summarized and actionable insights for various aspects of decision support, performance management, process monitoring, etc.
In the Information Analytics group, we have been developing statistical and machine-learning algorithms such as boosting, causal modeling, dynamic programming for several years. Our focus is on applications in strategic areas for IBM and its customers, and our main application areas are for internal (IBM business units) and external customers for purposes of sales & marketing optimization and risk analysis.
