The provision of large amount of data from various sources (Internet, Social Media, Application Logs, Data Warehouses, Sensors, Mobiles, Open Data, etc.) is now emerging the collection and processing of “Big Data”. While Big Data notion is adopted from both academic and enterprise communities, there is currently a wide gap between its potential and its realization. Variety, velocity, scale, complexity, interpretation and security problems with Big Data raise challenges at all phases of the pipeline that can extract information and knowledge from it. Thus, there is a natural interest in using these data asset to improve a variety of applications. It is very interesting to explore how the researchers utilize data-driven strategies and discover what disciplines will charge because of the advent of data. With the vast amount of data now available modern business are facing with the challenges of storage, management, analysis, privacy, visualization, security and data integration. The aim of the Workshop on “New Methods and Tools for Big Data (MT4BD-2014)” is to serve as an interdisciplinary forum for bringing together specialists from the scientific areas of Computer Engineering, Finance and Operational Research. The focus of this workshop is on current technological advances and challenges about the development of big data-driven algorithms and methods and tools. Furthermore, it would be very interesting to investigate if the use of a vast amount of data leads to more accurate models or not. The Workshop on “New Methods and Tools for Big Data (MT4BD-2014)” is held as part of 10th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2014).