CDE Marketplace Sept 2016: CountingLab Ltd (Autonomy &amp; Big Data

Presentation from CountingLab Ltd at the Centre for Defence Enterprise Marketplace held on 6 September

Technology

Marketplace 2016
Dr Colin Singleton
CountingLab Limited

CountingLab
Translational data science –
creating, translating,
developing and applying next
generation mathematical
behavioural data sciences
from academia into
commercial solutions to solve
real world problems.

Trustworthiness of information for defence from big data sets: An autonomous approach based on
the analysis of the messages’ metadata, linguistic content and spread through social networks
• social media events
• veracity determination
• rapid assessment
• autonomous and efficient
• social media and modern
warfare
• containment
• communication

What next?
Real-time, rapid response software system to identify and
autonomously and efficiently inform on incidents
• automatically identify top stories in a certain area or topic
• automatically collect social media content related to those rumours
and tag the content with relevant measures
• estimate confidence on modelled veracity
• provide insight into why some stories should be believed
• integrate into existing systems
Potential Markets
• defence, security, emergency services, financial sector, technology
companies, crowd management

We’re looking for…
• broad awareness of our work generally and this
project in particular
• potential investors for our software
• potential future users of our software
• potential buyers of our software
• raised awareness of the importance of social media
information in the defence and security context

The product was established to take advantage of the unique environment set by the convergence of the following three trends: large amounts of assetprice-relevant information becoming available, Big Data technologies making it possible to process and make sense of this information, and Machine Learning technics reaching a point where Artificial Intelligence can now be scalable. It systematically trades US equities based on rigorous machine learning, artificial intelligence, and statistical techniques to produce superior, uncorrelated returns. Also it uncovers non-obvious relationships by processing large amounts of unstructured data and leveraging computing brute force and employs disciplined and dynamic statistical Risk Management techniques to its portfolio.

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