Contact

If you have any questions about Real Artificial Intelligence, you can contact the organisers by email on
realai@bcs-sgai.org

Real Artificial Intelligence - Speakers

Details of the speakers and their presentations are given below.

Dr. Tom Khabaza

Institute of Data Miners

Data Mining: a View From the Trenches

Data mining is currently a battleground between the immense benefits that data mining can deliver and the widespread ignorance of those benefits and of how data mining achieves them. In this presentation I will describe some victories of data mining from a variety of industries and applications, including financial services, telecommunications, government, science and medicine, customer analytics and marketing, risk assessment, fraud detection, revenue assurance, public safety, genetics and cancer diagnosis. I will explain how organisations achieved these victories, and use them to illustrate what data mining is and how it works.

Dr. Tom Khabaza is an independent consultant in Predictive Analytics and Data Mining, helping organisations improve their business through insight and prediction. Tom has been in the field of data mining since 1991, and is a veteran of data mining projects in many sectors. He is one of the creators of the world-leading Clementine data mining workbench, and of the industry standard CRISP-DM data mining methodology; he led the team which created the first integrations of data mining and text mining. Tom is the founding chairman of the Institute of Data Miners.

Dr. John Kingston

Health and Safety Laboratory

AI as a Knowledge Management Approach

Dr. John Kingston has been active in knowledge management and knowledge engineering for over twenty years, with emphasis on knowledge capture and on implementing knowledge based computer systems for commerce, industry and government. He is currently the technical lead for a £1.2 million project to build a knowledge management capability for the Health and Safety Executive.

Dr. Richard Wheeler

Edinburgh Scientific

Writing a Great EU Funding Proposal

In this practical talk, Richard Wheeler will present advice and tips for getting a European (FP7) proposal accepted, from creating a good consortium to proper writing style, and will give an insider's view of the EU proposal review process.

Dr. Richard Wheeler is an AI specialist now full time helping international consortia prepare and manage large EU projects, and has acted as a review vice-chair for the EU's scientific framework programmes for ten years.

Dr. Rick Adderley

A E Solutions (BI) Ltd

Using Data Mining Techniques to Improve Efficiency in Police Intelligence

In this current economic climate all UK Police Forces have been required to trim their budgeting requirements which means that they will be losing staff. Less Police Officers and Police Staff to perform the same amount of, or even more, daily tasks. On 14th July 2011 the Independent (and other papers) reported an increase of 14% in burglary offences, opportunistic thefts have also increased. How can this problem be addressed? By using a data mining tool that permits the development of automated of intelligence data processing one large UK Force has stated that it can save £250,000 annually be adopting just one single process that identifies its priority and prolific offenders in each of its areas. By saving that amount, their return on investment can be realised in less than one month.

A further process that uses a multi-layer perceptron can model personal behaviour and suggest which un solved burglary crimes may have been committed by an individual offender. This process is up to 85% accurate and takes about 10 minutes, traditional methods are typically 15% accurate and can take up to two hours to complete. A further process using a self-organising map makes it possible to identify emerging crime series and even suggest one or more offenders who may be responsible for those crimes. Therefore, by adopting similar data mining techniques it can be possible to maintain or yet improve the service delivery of a Force even with a reduction of staff.

Dr Rick Adderley is a retired West Midlands Police Inspector having retired in 2003 after completing 32 years of service. His last role was the project manager and lead designer to the Force's Force Linked Intelligence System (FLINTS) which, in 2003, linked 13 disparate policing systems from three Police Forces to provide quick, up-to-date and accurate operational intelligence. Since that time every British Force uses the FLINTS system. Rick studied part time to achieve a 1st Class Honours Degree in Computer Science and a PhD in The Use Of Data Mining Techniques In Offender Profiling And Crime Trend Analysis.

Rick Formed his company, A E Solutions (BI) Ltd (www.a-esolutions.com) in 2003. The company specialises in providing automated workflow intelligence solutions to Policing and security using their data mining workbench tool, Authority Miner®. The tool connects to currently held data and has specific algorithms which are tuned to specific security requirement. One such algorithm can identify a Force's "top" criminal network which can dynamically be specified depending on current priorities. The company also uses the Authority Miner® tool in conjunction with a physiological monitoring device to determine stress in the workplace. This is accomplished by collecting and mining personal data over a series of working activities. A E Solutions (BI) Ltd have completed two EU FP6 security projects and are currently in involved in a further two EU FP7 security projects.

Dr. Gilbert Owusu

BT

AI for Service Production Management

The optimal design and operation of a service production line is critical to a firm's profitability and performance. In particular it provides the framework for the firm to deliver on its promises to customers in a cost-effective manner. In this presentation, we will look at the application of AI techniques for designing and operating service production lines in BT. In particular, we will focus on capabilities for optimising demand management; resource planning and scheduling; and capacity reservation.

Dr. Gilbert Owusu is BT's Chief Researcher responsible for service production management technologies. These technologies have underpinned major transformation programmes in BT and led to improved customer experience, cost savings and increased resource productivity. His current research focuses on developing technologies that provide a coherent approach to optimising (i) resource utilisation; and (ii) an organisation's service production lines with external partners. Gilbert is a member of the British Computer Society and a Chartered Engineer. He holds a PhD in applied Artificial Intelligence from Leeds Metropolitan University and an MBA from Warwick Business School.

Prof. Dr. Peter Rausch

Georg-Simon-Ohm-University, Nuremberg

Managing Uncertainties in the Field of Planning and Controlling by Applied Methods of AI

In spite of all improvements, business planning remains a challenge due to many uncertainties. Additionally, business planning can be time and resource consuming. This talk gives an idea how to master these issues by using intelligent analysis tools. Examples for industrial applications are presented. To handle data a data warehouse (DWH) is deployed. Based on the DWH, planning parameters can be determined by AI methods, and the quality of planning can be improved. Benefits and challenges are discussed. Finally, a brief outlook how to address open issues by new methods is given.

Prof. Dr. Peter Rausch spent several years working in the fields of software development, business process optimization and consulting. As a Program Manager, he was the head of Process and Tool Management in the Sales Support Department of Sun Microsystems/ Germany. Later on, he was responsible for an integration environment which was part of an industry solution at a software company. From 2004 on, Peter Rausch was a professor of Information Systems at Coburg University of Applied Sciences. In 2008 he accepted an offer as a professor of Information Systems at Georg Simon Ohm University of Applied Sciences Nuremberg. Additionally, he is the head of ADEVASoft a company which is specialized on Mobile Marketing and Business Intelligence.