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Real Artificial Intelligence - Speakers

Details of the speakers and their presentations are given below.

Dr. Ilya Zheludev (HSBC)

Innovative Technology Adoption in Large Highly-Regulated Legacy Institutions

The introduction of innovative technology within global financial services institutions whose operations impact the financial livelihoods of millions of individuals and corporations can be complex. The allure of new capabilities and methods is shadowed by the necessity to act in the interests of the customer’s safety above all else. As such, technology adoption must be careful, considered and measured. In this talk, Ilya Zheludev brings an overview of some of the methods used by large financial services industries to implement new technologies, when the risk of negatively impacting the customer is and will always be the top concern.

Dr. Ilya Zheludev is a commercially-focussed data expert, having delivered a number of industry-first commercial data initiatives including conceptualising and leading on the delivery of the UK’s first real-time full-rate social media analytics system for academic research. He has broad experience in the Financial Services industry as well as in commercial data-driven entrepreneurship. He is the Head of Data at HSBC’s Applied Innovation group, which is in-part tasked with helping with and enabling technology adoption within a large legacy Financial Services institution that operates in a highly regulated environment. He co-founded the group after a number of years helping the bank’s Risk function adopt new technology to enable stronger analytics capabilities from its data.

Prior to HSBC he held a number of posts in Capital Markets both on the buy and sell sides, as well as spending time in Investment Banking roles and working in an innovation function at a leading FinTech. He also started and sold a small data-driven technology firm during his PhD studies. He holds: a MEng in Engineering and Business Finance from UCL and LSE, a MSc in Transport and Business Management from Imperial College London and UCL, a MRes in Financial Computing from UCL, and a PhD in Financial Computing from UCL.

Dr. Federica Sarro (Department of Computer Science, CREST, SSE, University College London)

Living and Working in a Data-driven World: Predictive Analytics for Software Engineering

Software has nowadays pervaded all aspects of our lives. This allows the production and collection of a large amount of information about people’s behaviours and decisions. Predictive analytics exploits such information through intelligent systems able to identify patterns and predict future outcomes and trends. Applied to Software Engineering, it can help us better understand software processes, products and customers in order to maximise product quality, users’ satisfaction, and revenues.

In this talk I will present some of the automated approaches I have devised based on data mining, artificial intelligence, machine and statistical learning, which have proved to be successful to this end. I will also discuss the challenge to deploy predictive models able to turn the large amount of raw data, daily produced by creating and running software, into insights that software engineers can act on, for a wider industrial uptake.

Federica Sarro is a Senior Lecturer (Associate Professor) at University College London (UCL) in the Department of Computer Science. She is also the Director of Appredict Ltd., a software analytics company spin-off of UCL, and member of the CREST research centre.

Her research covers predictive analytics for Software Engineering (SE), Empirical SE and Search-Based SE, with a focus on software effort estimation, software sizing, software testing, and mobile app store analysis. On these topics, she authored more than 60 papers, published in prestigious peer-reviews software engineering conferences and journals. She has also received six international awards, including three best paper awards and the GECCO-HUMIES medal awarded for the human-competitive results achieved by her work on multi-objective effort estimation, and has attained funding for her research in predictive analytics for SE from the Microsoft Azure Research Programme.

She is a very active and highly regarded member of the Software Engineering community: over the last four years she has organised and chaired more than 15 international conferences and workshops and served on more than 50 program committees, and in 2015 she has been elected by the community as a member of the Steering Committee of the International Symposium on Search-Based Software Engineering.

She is also Associate Editor of many prestigious journals such as the Empirical Software Engineering (EMSE) and the IEEE Software (Mobile Applications and Systems area blog), and she has also been Guest Editor for the journals IEEE Transactions on Evolutionary Computation (TEVC) and Elsevier Information and Software Technology (IST).

Dr. Izzy Sargent (Ordnance Survey)

Why OS Needs AI

Ordnance Survey creates and supplies high quality geospatial data for a wide range of customers. These digital representations portray the man-made (e.g. roads, buildings and fields) and natural (e.g. woodland, moorland and boulder fields) characteristics of the landscape for a wide range of applications such as routeing, asset management, planning and geospatial modelling and prediction. Where accuracy, precision and consistency were once primary measures of quality, now increasing emphasis is placed on the capability to generate tailor-made data and solution services to diverse customers. We have set out to develop an approach to data creation that will serve both immediate requirements and pioneer new ways of representing the landscape. In this talk, we will present our work on learning and applying deep landscape representations.

Dr. Isabel Sargent is a Senior Research Scientist at Ordnance Survey, Visiting Researcher at University of Southampton and an industrial advisor for 5 PhD candidates. She specialises in applying machine learning to the interpretation of images of the landscape and particularly excited by discovery from data using unsupervised approaches. Additionally, she is involved in research into the automation of 3D city model capture and quality assessment and has developed operational methods for building height extraction and roof shape classification. Other research interests include the use of crowdsourcing in niche groups and the application of graph analytics in the geospatial domain. She holds a BSc Honours in Environmental Sciences, PhD applying neural networks in oceanography and is a Chartered Scientist.

Dr Nicola J. Millard (BT)

Botman vs. SuperAgent: how augmented intelligence is changing customer experience.

We are currently witnessing a customer experience revolution. Will Botman or SuperAgent save the day? Dr Nicola Millard shares insights from global research on how consumers are changing their attitudes towards digital service. Are ‘bots going to take over? How do human agents fit in? Are we in a "post PC" era, where the smartphone, voice and screen are our tools for contact? Using a combination of research and practical experience, we will explore the realities of combining human and machine at the customer interface.

Dr Nicola Millard heads up Customer Insight & Futures in BT's Global Services Innovation Team. Despite working for a technology company, Nicola isn't a technologist and combines psychology with futurology to try and anticipate what might be lying around the corner for both customers and organisations (sadly, her crystal ball is broken).

Nicola recently celebrated her 27th year in BT. She has done a number of jobs around the BT business, including user interface design, customer service and business consulting. She was involved with a number of BT "firsts", including the first application of artificial intelligence into BT's call centres and BT's initial experimentation with home working. Nicola got her PhD from Lancaster University in 2005 on motivational technologies in contact centres, published her first book in 2009 and now spends most of her time doing research, writing blogs, articles and white papers.

Nicola regularly pops up on radio and TV around the world, including appearances on 'Woman's Hour', 'Tech Tent', 'The Genius of Invention' and 'Back in Time for the Weekend' for the BBC. She has done 2 TED talks and is also a judge on a number of award panels, including the Institute of Customer Service, the CCMA and the Association of Business Psychology awards. In 2014, she was the recipient of the 'Outstanding Industry Contribution' award from the UK Contact Centre Forum. When she's not doing all that, Nicola travels around the world presenting at conferences and running workshops with an assortment of BT's large multinational corporate clients including banks, government, travel companies and retailers, to name but a few.