The Big Data community is incredibly active and holds a number of highly-targeted events around the world. Topics include Hadoop, Data Science, Business Intelligence, Analytics as well as concrete applications. For example, marketing for industries such as Consumer Goods and Retail, Healthcare or Finance.
Below is a selection of the most relevant events coming up over the course of this year. In case your event is not featured below, please reach out to us at [email protected]
The 2014 3rd International Conference on Knowledge Discovery (ICKD 2014) will be held during June 7-8, 2014, Pattaya, Thailand, organized by IACSIT and International Journal of Computer Theory and Engineering (IJCTE), as the workshop of ICDDM 2014. The aim objective of ICKD 2014 is to provide a platform for researchers,
The Useful Business Analytics Summit is a platform for corporate peers to meet and determine how analytics can improve business decision making. The focus will be on how to identify and analyze useful data, to get useful insights which can drive useful business decisions. Presenters will be exclusively corporate practitioners
The Big Data & Analytics for Pharma Summit brings together thought-leaders from the industry for an event acclaimed for its interactive sessions and high-level speakers. As many organisations are now gathering more data on patients than ever before, they are able to achieve 360 degree view on the market and view patterns in their data. This
The role of data in manufacturing has traditionally been understated. Manufacturing generates about a third of all data today, and this is certainly going to increase significantly in the future. Data forms the backbone of all Digital Manufacturing technologies, which will be the centerpiece of the strategy for advancing Manufacturing
The 2014 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2014) will have four days of presentations by experts from academia and industry as well as discussion and poster presentations. Planned workshop themes include: large-scale statistical data analysis; scientific and industrial applications; algorithmic and statistical approaches to data; matrix