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Big Data – from Science and Medicine to Business Innovation
October 23, 2014 @ 12:30 pm - 3:00 pmFREE
Data collection and exploitation is a growing phenomenon. Every single minute, the world generates 1.7 million billion bytes of data; over 6 megabytes of data for each person every day. As a result, the data sector is growing by 40% per year; 7 times quicker than the overall information and communications market. Big data is already helping us speed up diagnosis of brain injuries, avoid traffic congestion, forecast crop yields in developing countries, to name a few examples.
It is estimated that global big data technology and services will grow to USD 16.9 billion in 2015 and data will create hundreds of thousands of new jobs in Europe. Businesses that build their decision-making processes on knowledge generated from data see a 5‑6% increase of productivity. (EU PR, Brussels, 2 July 2014).
This is a UK wide Cisco National Virtual Incubator event, which will explore how Big Data is offering key insights and emerging trends in data which is being used for medical and business innovation.
Participating NVI Nodes include: Accelerate Cambridge, IdeaLondon, Innovation Birmingham and Swansea University.
12.30pm: Registration, networking and lunch
1.10pm: Welcome, Hugo Russell, Innovation Birmingham’s Project Manager for the Innovation Engine
1.20pm: Consumer, Citizen, Employee, or Thing – What Am I in a Big Data World
Professor Rick Chandler, BCS.
Rick will consider the different aspects of Big Data for us as consumers, citizens and employees. As we are scanned by retailers, government bodies and our own employers, what are the benefits, drawbacks and opportunities? Will we need a new economic model?
1.45: Super Computers and Super Bugs
Farzana Rahman, University of South Wales.
Farzana has been using HPC Wales’ supercomputing technology to understand bacterial evolutio to help transform the current state of antibiotic treatments. Given the alarmingly widespread nature of antibiotic resistance, the pressure is on for scientists to develop new ways to combat bacterial infections.
2.10pm: Text Similarity Analysis with Big Data a case study fromErrorJoy.com
Dan Thompson, D4 Software
During the development of a new product (ErrorJoy.com), D4 Software had to solve the problem of finding similar error messages within application logs that contained potentially hundreds of thousands of messages. With networking effects working against them, the company developed a number of hacks to achieve the desired result in a reasonable computational timeframe.
2.35pm: Data Driven business Models
Dr Mohamed Zaki, Research Associate at Cambridge Service Alliance
“Using data as a key resource to drive business models”; How start-ups create business models byusing the
data as a key resource.
Professor Rick Chandler
Rick has over 30 years’ experience in the design and implementation of ICT technologies across a wide range of
industries from both vendor and user perspectives. This includes leading the team which built the first Internet Mobile phone platform, being Product Director for the UK’s largest PC retail chain and CIO for a UK County authority. He currently consults on IoT and Smart Cities which rely heavily on Big Data technologies.
Rick is the Chair of the Communications Management Association and is a board member of EEMA in Europe. In the Cisco context, he is CTO in residence at IDEALondon. He is a regular judge at ICT awards and Hackathons. Twitter: @Wirelessroamer
Farzana Rahman is a Fujitsu funded PhD Student at the University of South Wales. Originally from Bangladesh,
Farzana is an engineer by qualification, with experience of using statistical modelling in projects for performance
improvement in automotive engines and for Green House Gas emission measurement.
Farzana’s current research interest is in predictive modelling to help biologists finding solutions to some of the tough questions of time. In her current PhD project, Farzana is studying bacterial genome data to help biologists better understand the relationship between toxicity and genetic mark-ups of different bacterial strains. She aims to find a method to predict risk of toxicity in an apparent non-toxic strain of bacteria. .
Project Video Link: http://youtu.be/XxjMiPQNfag
Dan is the founder of Innovation Birmingham Campus-based D4 Software. He has spent 17 years building software and reports that help businesses manage and understand their data more effectively. He is passionate about translating technical subjects for non-technical audiences. Through D4 software, Dan creates products that lower the technical barriers to getting actionable insights from data.
Dr Mohamed Zaki is a research associate at Cambridge Service Alliance, University of Cambridge.
Mohamed’s research lies in the field of Information Governance, Business Intelligence and Big Data Analytics. His PhD investigated the impact of employing different business intelligence techniques (text mining/data mining) to detect frauds in the stock exchange markets. The PhD research proposed an ontological approach for financial fraud. He has many publications in many leading conferences and journals such as journal of service research.
Currently, he is leading the performance and Information analytics research theme at the Cambridge Service
Alliance and investigates “How Big data could play a role in improving and optimising services within a complex service network organisation”. In particular, understanding how data could play a role in creating new business opportunities either in improving existing services or creating new business models within complex service organisations across different sectors: education, asset heavy and start-up world.