The AI and Automation for mobile banking and E-commerce will feature expert speakers from financial and e-commerce firms at the forefront of new technology: heads of architecture, development, QA as well as mobile business line managers.
Emanuele Blanco is a technology leader with more than 10 years experience, and currently Chief Technology Officer at Moneyfarm. Having started his career as a Software Engineer, he first built software then helped building software as both at various companies such as Betfair, Sky, Klarna and HMRC. He strongly believes in how modern engineering practices and processes such as Agile, Continuous Integration and DevOps can help businesses to create competitive advantage.
Charles is a serial entrepreneur who has focused his career on solving tough technology challenges for some of the world's largest organisations. A self-confessed 'geek' at heart, Charles combines his technical fluency with his business nous to really get to grips with how best to conceive, design, build and implement solutions which can unlock transformative business value. In addition to providing advisory services to clients, Charles has built and sold three technology companies so far in his career, and in his spare time passionately supports and mentors young entrepreneurs and start-up teams. Past roles include Head of Technology at Deutsche Bank Labs in London and Associate Partner at Elixirr. He was until recently CEO of NetKernel. Charles is currently a Forbes contributing writer and is the Head of AI at Fidelity International.
Bio coming soon.
Djamel MOSTEFA is an expert in Artificial Intelligence (AI) and Natural Language Processing (NLP). He has a strong experience in managing international projects and teams in the field of NLP and AI. He has been managing the development of NLP products and services for speech recognition, machine translation or information retrieval for more than 30 languages. He has published more than 40 scientific papers and is an evaluation expert at the European Commission in the field of AI and NLP. Fields of expertise: Artificial Intelligence Natural Language Processing Innovation management Business development
Ragavan Ambighananthan is working in Expedia Group for the past 9 years and now as Principal Software Engineer in Test. He has been working in test automation space for the past 18 years. His role is to look out for emerging new use cases in test automaton space and find suitable new technologies to create tools to increase the productivity of engineers. In 2015, he presented “Distributed Automation”, in Selenium Conference in Oregon, US and in Selenium Camp in Kiev in 2016. He also presented "DA Kube - Selenium Grid using Kubernetes and Traefik" in SeleniumCamp in 2019. Ragavan will be presenting a solution he has created to classify automation errors into different categories using Machine Learning.
Speaker: Matthew Crabbe, CEO and Founder – QA Media
Speaker: Emanuele Blanco, CTO - Moneyfarm
Being a startup means a race for ‘product market fit’ making lots of short-term technical decisions along the way. Being a scaleup means taking your technology and adapting it to support exponential growth of users and partners. At Moneyfarm, in 2019 we implemented a Public API that’s currently used by both by our customer applications and by Poste Italiane to offer our investment capabilities to their 35 million customers. In this talk I’m going through the challenges we faced, including dealing with a legacy monolith, domain modelling, functional and non-functional testing.
Speaker: Charles Radclyffe, Head of Artificial Intelligence - Fidelity International
As our world increasingly depends on AI-based software, the engineering focus needs to broaden from avoiding bugs to understanding bias. Biases in these critical systems can not only produce incorrect results, but can also make unethical decisions. Charles will focus his talk on the application of AI tools and how testing AI bias is fundamental to ensure a safe and ethical world.
Our panel of speakers from payments platforms, banks and E-commerce firms will discuss the evolution of the new open banking landscape, and consider the impact of the PSD2 regulation on existing payment infrastructures. The discussion will also examine key technologies for testing APIs, with particular emphasis on containerisation and virtualisation, whilst also exploring the potential AI could bring to current automated practices.
Speaker: Harold Bossé, VP Product and Innovation - Mastercard
Harold will focus his presentation on the cross-border payments transformation that recently involved Mastercard and will detail how he is designing the future of payments with the application of Corda blockchain technology.
Speaker: Djamel Mostefa, Head of Artificial Intelligence - Orange Bank
Djamel will talk about the evolution of the Orange Bank’s assistant until becoming a real virtual financial coach optimized by AI. Djamel will also explain how to integrate the new generation of customer service into Orange Bank's products from the start and how to understand customers' opinions and feelings with AI. Finally it will address the risks associated with AI.
Speaker: Justyn Trenner, Director QA Media Ltd. and Head of QA Vector Research - QA Media
An effective quality assurance process architecture gets better software to market faster. But how do you prove this? And what are the risks and threats of not tracking the value achieved? Based on original QA VectorⓇ Research, this session will identify the best practices for proving the value of QA to the business.
With the oncoming influx of machine learning, AI and robotics, and evolving employment expectations the finance and e-commerce sectors are at the centre of the 4th Industrial Revolution. This presentation will explore how firms are building cognitive apps by pairing smart machines with smart people. By thinking and acting differently they conceived the machine intelligence programme, which combines the digital and the biological worlds together, generating the app of the future.
Most financial and e-commerce firms have targets for increasing rates of test automation for mobile, but many are only at the start of that transformation, and even among the leaders there is no agreed best practice or the tool set. Our panel will discuss the relationship between automation, DevOps and Agile, and examine how the latest technologies such as AI, machine learning and RPA can be leveraged to achieve continuous app delivery to meet the demands of complex markets and connectivity challenges.
Speaker: Ragavan Ambighananthan, Principal Test Automation Engineer - Expedia Group
Reduce time spent on root cause analysis of failed automated tests to almost zero. When we run thousands of automated tests on a daily basis, as part of CI/CD, it is difficult to monitor an analyse every failed tests. Even to monitor and analyse only few times a day, it would take a lot of time, depending on the number of failed tests. As the cause of failures may be due to lack of inventory, poorly written automation, unstable environment or real defect, it would be useful to be able to categorise the failures into these four categories - Inventory, Environment, Automation, Product by using Machine Learning and by using the error messages thrown out by the automated tests. This way, those who are analysing the failures can start with focusing on the real issues rather than inventory or environment related ones. Once the ML model is more reliable, this could even lead to automatic filing of defects, hence removing human intervention altogether.
As we generate around 2.4 million test run records a month, this is a wealth of data to implement a Machine Learning model to classify the errors.
Good UX is increasingly the competitive edge in e-commerce and financial firms - a better app experience means more market share. But what do customers really want? This panel session will also address how firms are integrating and optimising tools for performance and load testing, as well as how customer's expectations for UX are shaping challenges for the future.
It is commonly acknowledged that the telecoms industry has seen the greatest disruption as a result of AI based technologies, as firms have implemented automated processes in order to meet customer demand. During this session, a leading telecoms firm will examine how their adoption of automation has allowed them to drive customer engagement, and how they have been applying AI to their software development to achieve greater operational and cost efficiency. Additionally, delegates will gain key insight into where the telecoms industry foresees technology in mobile, such as 5G, and which QA challenges they anticipate.