How can the world’s’Armed Forces’ensure data is secured against external threat?
How can they trust data is analysed and assessed both quickly and accurately without a human interface?
How can they exploit these new systems to maximise the opportunity window gained from rapid data analysis?
Find out the answers to all of these questions at the Big Data Analytics for Defence Conference being held in London, 26th – 28th June 2018.
Working directly with the UK MoD’s Defence and Security Accelerator (DASA), designed to fund proof-of-concept research and introduce new technologies to the defence industry, Big Data Analytics for Defence is the only big data conference to provide direct access to the UK MoD’s capability and procurement leaders, alongside the heads of the NATO Communications and Information Agency Service Strategy and Innovation branch, the British Army Future Force Development programme and the French MoD’s procurement branch- the Directorate-General for Armaments.
Why attend the conference?
- Achieve technical superiority by incorporating cutting edge technologies in data analytics and Artificial Intelligence, with proven success in the commercial sector
- Maximise the opportunity window from gathered intelligence by enhancing the speed and accuracy of data analysis, by exploiting new AI and machine learning capabilities
- Eliminate threat from data hacking by understanding how to securely store data and developing bespoke storage solutions alongside big data storage experts
- Optimise the data analysis process through engaging with data analytics experts with proven experience in the civilian sector, and understanding the current technical capabilities from these sectors
- Align your systems to the military requirement by engaging directly with senior decision makers and capability directors from the Armed Forces, responsible for building big data capabilities in their own defence organisations
If you want to know how you can get involved, contact us now at [email protected] or call +44 (0) 20 7036 1300