Algorithms and Management

Yesterday I gave a talk in the 6th IIC Technology Conference about how Social Contagion can be leveraged for marketing purposes. The motto of the conference was about the need of using Algorithms in nowadays business process. With the availability of more and more complex data the use of algorithms that can detect and reduce complexity is of paramount importance. Big data is not only about volume (TeraBytes of data), it is about huge complex data and reducing that complexity can only be achieved by modeling, simulating and analyzing the patterns we observe in the data. There are no black-boxes for Big Data, and only insight and the right approach to tame complexity is proven useful.

Fernando Cordova presents the “giant component” of internal communication network

In this direction my colleagues at IIC presented their incredible work, algorithmic solutions and projects with companies in the Energy, Health, Banking sectors. In particular, in our group at IIC José Luis Iribarren presented our approach to discover organizational groups and hierarchies within companies and its impact in the business process within a company and Fernando Córdova from INGDirect (Spain) showed how we have help them to unveil groups of collaborations, early adopters, etc. within the Bank using our AROS tool.

On my side, I present a recent collaboration we have done with a major telecomm company to use their CRM and CDR data to build a adoption model for new products/services. The eContagion model (based on our MAAIS methodology) was built using our recent research on temporal networks, community finding and machine learning algorithms and was able to improve (several times) the best predictions of models based only on CRM data.

You can find the talks and presentations in video format here, and below is my lecture (sorry, in spanish)

Comments are welcome! If you want to find more info about our work on social networks and business process, visit our group page at IIC and our blog about innovation.


Esteban Moro

Professor at Universidad Carlos III de Madrid and MIT Medialab. Working on Complex Systems, Social Networks and Urban Science.