Broadband World Forum, 21-23 October 2014 is one of the world’s largest telecoms, media & technology events with over 7,800 senior executives from across the globe converging on Amsterdam every year to identify the Next Big Thing.
With awe-inspiring attendees including the who’s who of global C-suite fixed, wireless and cable operators, OTTs and genuine market disruptors, national and international governments and the world’s leading solution providers, BBWF is an entire ecosystem event that excites and identifies how the latest technologies and trends from across our industry will impact the future of global communications. Over 300 visionary speakers create one of the world’s most comprehensive and operator led conference programs, 100's of which together with our interactive exhibition showcasing 250+ solutions providers, new product launches, live inter-operability demonstrations, NFV proof of concepts and facilitated networking zones makes BBWF a yearly must-attend event that provides unrivalled connections and satisfies all of your needs! Free Exhibition Only Passes and Delegate Passes from €999 are available at www.broadbandworldforum.com
Market Opportunity: Big Data in the Internet of Things Big Data and Analytics software and applications will play a crucial role in making IoT a success. The data generated through sensors embedded in various things/objects will generate massive amounts of unstructured (big) data on real-time basis that holds the promise for intelligence and insights for dramatically improved decision processes.
Structured and Unstructured (Big) Data in Telecom Analytics This report provides the reader with a broad understanding of telecom data (structured and unstructured/big data) and related analytics. The report identifies market drivers and opportunities as well as forecasts for certain key growth areas such as deep packet inspection.
Telecom Carrier Big Data Operations, Applications, and Services Telcos have a major advantage in that they have many sources of data but if they want to monetize that data and derive meaningful, actionable analytics it could be challenging due to the complexities of correlation, prediction, and the massive volumes of data from different sources.