What’s smart, fast, and invisible? A look at predictive analytics

Supporting Smart Interactions with Predictive Analytics

Predictive analytics, which has grown out of Business Intelligence (BI), employs knowledge discovery on existing data to predict or recommend future actions. It differs from BI in that BI focuses on past performance and the discovery of trends while predictive analytics forecasts behaviour and results in order to guide specific decisions. Predictive analytics is used to analyze large amounts of...

Reinforcement Learning for Predictive Analytics in Smart Cities

The digitization of our lives cause a shift in the data production as well as in the required data management. Numerous nodes are capable of producing huge volumes of data in our everyday activities. Sensors, personal smart devices as well as the Internet of Things (IoT) paradigm lead to a vast infrastructure that covers all the aspects of activities in modern societies. In the most of the case...

Predictive Analytics: Predictive Modeling at the Micro Level

Predictive Analytics

In today's economic climate where budget reductions are common, executives are under pressure to deliver profitable growth. Business leaders must identify and implement the critical items that will enable the enterprise to remain competitive. Methods and techniques long utilized in the actuarial department are being leveraged to improve many areas of the insurance operation. Will these methods ...

A Case Study of Active, Continuous and Predictive Social Media Analytics for Smart City

Imagine you are in Milano for the Design Week. You have just spent a couple of days attending few nice events in Brera district. Which of the other hundreds of events spread around in Milano shall you attend now? This paper presents a system able to recommend venues to the visitors of such a city-scale event based on the digital footprints they left on Social Media. By combining deductive and i...