This document discusses predictive analytics in telecommunications and describes Nokia's Network Data Intelligence (NDI) project. The presentation covers the requirements and use cases for predictive analytics in telecom, including predicting network outages, hardware failures, and service issues. It then describes the NDI architecture, which uses tools like Pandas, SciKit, and RapidMiner for data ingestion, aggregation, analytics and visualization. The presentation notes challenges like dealing with big data's high volume, velocity, variety and veracity and discusses NDI's real-time distributed processing approach.