AI Assistant Summit schedule

Bianca Furtuna is a freelance Data Scientist. She is passionate about all things data and using new and emerging technologies to deliver data focused solutions with Machine Learning and Artificial Intelligence. Until recently, Bianca was a Data Scientist at Elastacloud, where she built multiple machine learning models for forecasting tasks in the energy sector. Previous to Elastacloud, Bianca was a Technical Evangelist at Microsoft, working with various organisations to help them improve or architect their cloud solutions and support them in implementing Machine Learning and analytics services.

Answering Emails in No Time – Short Story How to Use NLP in Modern Enterprises

In order to maintain good customer relations, every company have to take care and continuously keep contact with the clients. Almost every bigger enterprise needs therefore a dedicated customer service. Here artificial intelligence comes with help. Mailbot is the answer to current market needs. It is analyzing incoming messages: either complains, order status requests, questions regarding products details or availability and supporting the answer. Using Natural Language Processing the Mailbot is proposing complete message to customer ready to send back. It could integrate with ERP and CRM systems to include current prices, discounts, availabilities in message. Customer Service could spare lots of time having all this information gathered automatically. Mailbot is also able to create complaint in system which could be processed further in separate department.

Agata is a co-founder of TheBlue.AI, company delivering AI solutions for business, specializing in NLP, ML and IP. Cooperation with partners specialized in Business Applications and Mixed Reality allows theBlue.AI to successfully combine newest technologies with deep business understanding. As a head of AI team Agata was creating solutions like Mailbot, TwitterBoard and Chatbot using Machine Learning and Natural Language Processing algorithms. Recently her main responsibilities are focusing on project management of Predictive Maintenance product. In addition she is taking part in designing complex big data architectures as well designing best possible algorithms to handle incoming time series data. Agata enjoys combining in practice her educational background from both business informatics and linguistics to solve business problems applying machine learning algorithms.

Bloomsbury AI simplifies the access to information through AI.

The London-based startup company developed algorithms that can learn to answer questions by automatically “reading” textual documents. The approach heavily uses deep learning and can scale to millions of datapoint and has been improved to perform real-time predictions. In this talk, we demonstrate the current ability of machine reading algorithms in different domains and for various degrees of difficulty. One of the most promising applications is our legal product, designed to help lawyers find the information they need much more easily than current approaches based on boolean search and keyword matching. We conducted quantitative experiments that show that the time spent searching for the right answer in a document can be drastically reduced by using machine reading algorithms. Finally, we discuss some insights about the next generation of machine reading algorithms that we can directly reason on legal documents, and even search for extra information when it is missing.

Automating Expert Note Taking

Kiroku is changing the way computers understand conversational language. We believe that speech to text is not enough, and the next step is deriving the meaning from conversation. Our first product can listen to a conversation between a dentist and a patient during a dental appointment and automatically generate the clinical notes. The models are generic and can be repeated in a variety of industries and applications. In this talk, we will cover the ideas behind how we are building the foundations of this technology, and some of the obstacles we face on the way.

Jay is the co-founder and CTO of Kiroku. Kiroku graduated from the eighth cohort of Entrepreneur First (Europes leading deep tech incubator). Kiroku was listed on TechCrunch as one of the top three companies coming out of EF. Before founding Kiroku, Jay completed his masters in natural language processing and machine learning at the University of Cambridge. His research focused on translating within English, and Kiroku has built on much of this technology to create its first product, giving the company a huge head-start in solving this hugely complex technical challenge.

Abstract title: Transforming Healthcare using Deep Learning

Ben is a London-based doctor and Co-founder of Cera, a multi-award winning technology company transforming social care. He advised the CEO of NHS England on £100 billion of health spending, co-founding the NHS Innovation Accelerator (NIA) which benefitted 3 million people in its first six months. He has a strong interest in research with over 100 peer-reviewed publications and 50 academic awards. Ben has advised a range of organisations, from startups to multilaterals, including the Swiss government, the Experiment Fund and the WHO. He is Chairman of the UK Medical Students’ Association (UKMSA), and has authored three medical books. Ben was educated at Oxford, Cambridge and Harvard universities. He was the first person from British healthcare to be included in Forbes’ 30under30, was listed in WIRED's top 10 Innovators in Healthcare, and recently ranked amongst the 100 most influential leaders in health technology, globally.

Replacing Lawyers and Real Estate Brokers with AI

In this talk, Faisal will share his experience of building a popular chatbot housing ‘lawyer’, Renters Union. Since launch, the chatbot has helped thousands of Londoners get free, instant, personalised legal advice, saving them from having to hire expensive lawyers. AI has many practical applications, as bots like Renters Union and DoNoPay have shown, and in this session you’ll learn about how you, too, can build practical tools on your own.

Faisal is the Founder and CEO of Renters Union, a popular chatbot ‘lawyer’ that provides free, instant, personalised legal advice to Londoners. It has been covered in TechCrunch, TimeOut, EveningStandard and numerous legal blogs, and been hailed by users as ‘something the Mayor should have built’, ‘BRILLIANT’ and ‘totally rubbish.’ Faisal previously built and sold a fintech venture, and spent several years in banking and private equity, before learning to code and moving to tech. Faisal holds a BA from Harvard University, and MBA from the Kellogg School of Management, and lives in London.

Enhancing Cryptocurrency Forecasting by using Deep Learning Sentiment Analysis

Peculium is the first Crypto-Savings platform that combines traditional savings, blockchain technology, cryptocurrency, and artificial intelligence. Indeed, Peculium is a platform that makes use of the AIEVE Artificial Intelligence technology to forecast the market price of several cryptocurrencies and giving real-time saving-portfolios advices.

In this context, AIEVE is based on cutting-edge NLP techniques to extract semantic meaning and sentiment from large volumes of unstructured text from multiple sources such as social media or RSS feeds. In this presentation, we will present a Twitter sentiment analysis pipeline based on CNNs and LSTMs networks using fine-tuned word embeddings. We will show how these techniques help AIEVE to predict the cryptocurrency market with a higher level of accuracy to increase users savings.

Prior to joining AIEVE, Kamel was working as a Senior NLP Data Scientist at First Utility developing AI technology to improve the customer experience. Kamel has also worked at Oxford University Press as a Lead Language Technologist for the Oxford English Dictionary project. During his Ph.D at the University of Geneva in Switzerland, he has been working on several topics such as NLP, Machine Learning and Semantic Web.

Why Conversational Bots Disappoint & How to Build Better Ones

Deutsche Telekom had for several years as other enterprises conversational bots in the market and the end-customer perception was long time not satisfying. But through AI and new interface designs finally conversational bots were accepted by our customers and are going in the lead from all channels as the most favored touchpoint.

Jan is the product & AI engineering lead at Deutsche Telekom Group. He is working with his team on several AI applications from chatbots over call emotion detection to machine learning use cases to enable with this work the European operating businesses of Deutsche Telekom to exceed customer expectations and business goals. Before Deutsche Telekom Jan worked as a project leader at a digital, boutique consultancy in Germany and South Korea. He holds a master degree in Management Information Systems.

Artificial Communication Intelligence 2.0 – The Rise of Socio-Emotional Assistants

Today’s AI Assistants and conversational interfaces become increasingly useful, spread, and actually used, but still lack in one major aspect – they still just aren’t emotionally or socially intelligent thus keeping communication still quite different from human-to-human examples. In this talk, the state-of-play in the ongoing ambitions of filling this white spot in virtual agent and assistant tech is demonstrated. We shall go from the noughties’ first fully-fledged audiovisual input/output emotion-enhanced “SEMAINE” system to today’s “ARIA” system the presenter both was a co-developer of and related latest information retrieval agents with growing socioemotional capabilities aiming at more personalised, natural, and engaging user and customer experiences. While deep learning has already been at the core of the first such system, the talk will also highlight the most recent end-to-end learning architectures employed in the field of Affective Computing and Intelligent Interaction. Modalities of interest include textual, acoustic, and visual, but also physiological cues of emotion or social signals. Benchmarks on performances are given from the major challenges in the field as organised by the presenter – AVEC, and ComParE. Emphasis is in particular laid on increasing socioemotional communication intelligence in tomorrow’s automated conversational customer care.

Björn W. Schuller received his diploma, doctoral degree, habilitation, and Adjunct Teaching Professor all in EE/IT from TUM in Munich/Germany. He is a Reader (Associate Professor) and Head of GLAM – the Group on Language Audio & Music at Imperial College London/UK, Full Professor at the University of Augsburg/Germany, co-founding CEO of audEERING, and permanent Visiting Professor at HIT/China. Before, he was Full Professor at the University of Passau/Germany, and with Joanneum Research in Graz/Austria, and the CNRS-LIMSI in Orsay/France. He is a Fellow of the IEEE, President-Emeritus of the AAAC, and Senior Member of the ACM. He (co-)authored 700+ publications (17000+ citations, h-index=64), and is the Editor in Chief of the IEEE Transactions on Affective Computing, General Chair of ACII 2019 and ACM ICMI 2014, and a Program Chair of Interspeech 2019, ACII 2011/2015, ACM ICMI 2013, and IEEE SocialCom 2012. He was honoured as one of 40 extraordinary scientists under the age of 40 by the WEF in 2015, served as Coordinator/PI in 10+ European Projects, is an ERC Starting Grantee, and consultant of companies such as Huawei or Samsung.

How CWT used AI to provide white-glove level of service

Despite the hype, AI-based chatbots are still not there... at Carlson Wagonlit Travel (CWT), the world's leading travel management company with over $30B of travel sold annually, deploying a service solely based on NLP and AI to respond to our travelers' needs simply doesn't cut it. CWT prides itself on the high touch customer service it provides to help its millions of travelers navigate through the not-always-pleasant task of business travel. The challenge? How to provide the same high touch service while leveraging new technologies and in particular, conversational interfaces. The solution? A hybrid between chatbot and a human, automating some tasks, but also deploying AI to deflect conversations to humans. The result? High level of satisfaction and improved human agent efficiency. During his talk, Ziv will discuss the challenge, solution, and results in more detail as well as demo CWT’s hybrid approach.

Ziv Baum is a Director of Product in Carlson Wagonlit Travel's Digital team, where he and his team are building products to help travelers through their entire business trip journey. Before joining CWT, Ziv was an entrepreneur and also worked for SAP and Qualcomm. He holds an MBA from Carnegie Mellon's Tepper School of Business and a BSc. from the Technion.

Aditya Kaul is a research director at Tractica, with a primary focus on artificial intelligence and robotics. He also covers blockchain and wearables as part of his research. Kaul has more than 12 years of experience in technology market research and consulting. He is based in London.

Prior to Tractica, Kaul was a practice director at ABI Research, where he led the firm’s Mobile Networks research group. Kaul has also worked as an analyst and team leader at firms including Pioneer Consulting and Evalueserve, and has provided independent consulting services in the areas of Internet of Things, wearables, and smart cities. Kaul started his career as an electrical engineer designing chipsets and wireless networks with stints at Qualcomm and Siemens. Kaul has been a prolific speaker, moderator, and panelist at industry conferences and events, and has appeared frequently in the media including The Wall Street Journal, The Financial Times, Forbes, CNBC, The Motley Fool, VentureBeat, Unstrung, ZDNet, Wireless Week, EE Times, and CommsDesign, among others.

Kaul holds two master’s degrees in engineering, from Colorado State University and Pennsylvania State University, as well as a bachelor’s degree in electrical engineering from National Institute of Technology, Surat in India.

AI holds great promise but also significant threat. As AI capabilities continue to advance at a rapid pace, so does the risk to both company and consumer. In this panel discussion we will bring together experts in AI security as well as those facing giant risks when advancing AI in their business. How do we keep AI safe from adversaries? How can we guard against mistakes? How do we protect against unintended consequences?

Bianca Furtuna is a freelance Data Scientist. She is passionate about all things data and using new and emerging technologies to deliver data focused solutions with Machine Learning and Artificial Intelligence. Until recently, Bianca was a Data Scientist at Elastacloud, where she built multiple machine learning models for forecasting tasks in the energy sector. Previous to Elastacloud, Bianca was a Technical Evangelist at Microsoft, working with various organisations to help them improve or architect their cloud solutions and support them in implementing Machine Learning and analytics services.

Dr Mariarosaria Taddeo is Research Fellow at the at the Oxford Internet Institute, University of Oxford, where she is the Deputy Director of the Digital Ethics Lab, and is Faculty Fellow at the Alan Turing Institute. Her recent work focuses mainly on the ethical analysis of cyber security practices, cyber conflicts, and ethics of data science. Her area of expertise is Philosophy and Ethics of Information, although she has worked on issues concerning Epistemology, Logic, and Philosophy of AI. Dr Taddeo has been awarded The Simon Award for Outstanding Research in Computing and Philosophy in recognition of the scholarly significance of her two articles: An Information-Based Solution for the Puzzle of Testimony and Trust (Social Epistemology, Springer) and Modelling Trust in Artificial Agents, a First Step toward the Analysis of e- Trust (Minds & Machines, Springer). She received the World Technology Award for Ethics acknowledging the originality and her research on the ethics of cyber conflicts, and the social impact of the work that she developed in this area. Since 2016, Taddeo serves as editor-in-chief of Minds & Machines (Springer) and of Philosophical Studies Series (Springer). She is also Fellow of the Council on the Future of Cybersecurity of the World Economic Forum.

Dr. Catherine Flick is a Senior Lecturer in Computing and Social Responsibility at the Centre for Computing and Social Responsibility at De Montfort University.

Areas of research have involved responsible research and innovation in health and ageing, online child protection, trusted computing, ethics and video games, ethics in AI, anonymous technologies and the darknet, and informed consent in ICT. She holds a number of EU grants on responsible research and innovation and is a member of the ACM’s Committee on Professional Ethics, and is a steering committee member of the ACM’s Code of Ethics refresh team. She teaches computer ethics and research methods to business computing and computer science students.

Dr Shahar Avin is a Postdoctoral Researcher in the Centre for the Study of Existential Risk (CSER) at the University of Cambridge. His research examines challenges and opportunities in the implementation of risk mitigation strategies, particularly in areas involving high uncertainty and heterogeneous or conflicting interests and incentives. Mixing anthropological methods and agent-based modelling, Shahar works with other CSER researchers and others in the existential risk community to identify and design opportunities for impact. He is a co-lead author (with Miles Brundage) of the report The Malicious Use of Artificial Intelligence, and managed the development of the Superintelligence mod for the popular strategy game Civilization V.

After looking at technical advancements in AI in retail, finance and AI Assistants over the course of the summit, we will join together to discuss the broader questions arising within AI ethics. Top academics and experts in industry will discuss topics around employment, skill shifts, behaviour change, AI bias and humanity. What should a regulatory framework for AI include? How do we eliminate AI bias? How do we define the humane treatment of AI? How do machines affect our behaviour and interaction?

Phil is the Managing Director at Filament.AI and a former Director at IBM. He is a specialist in applied Artificial Intelligence and business transformation. Phil previously ran the IBM Watson Ecosystem in Europe and launched IBM’s global IoT practice. He is a Chartered Engineer, holds an MBA from IESE Barcelona & Columbia New York and is an Entrepreneur in Residence at Nottingham University.

Filament.AI is a venture-backed expert services and tooling firm specialising in applied Machine Learning, NLP and Computer Vision. The team of 28 AI specialists is drawn from IBM Watson, Capgemini, top academia and a leading London digital agency. Since mid-2016, Filament has delivered expert AI services for the likes of HSBC, Deutsche Telekom, IBM, Google and American Express.

Lucy leads public policy at FiveAI, a British technology company building fully self-driving vehicles to deliver safe and convenient shared mobility services for cities, starting in London in 2019. Lucy’s background combines startup business with technology policy and regulation. She has held roles at the UK’s globally renowned Centre for Connected and Autonomous Vehicles (CCAV), Cabinet Office, the Department for Transport and the UN, along with award-winning British technology startups SwiftKey (AI software), Reconfigure.io, and GeoSpock (data analytics). She has been on the boards of TravelSpirit Foundation (mobility innovation), HackTrain, and Ada, the National College for Digital Skills.

Yasemin is Senior Lecturer in Philosophy at St Mary’s University, and her research interests range from interdisciplinary (with science and technology) to philosophy of language, aesthetics, and ethics. Her most recent publications include topics in dialogue and education; thinking, agency and recognition, and; neural implants and human identity. She is Vice Chair of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB) and on the Council of the Royal Institute of Philosophy.

Dr. Ansgar Koene is a Senior Research Fellow at Horizon Digital Economy Research institute, University of Nottingham and chairs the IEEE P7003 Standard for Algorithm Bias Considerations working group. As part of his work at Horizon Ansgar is the lead researcher in charge of Policy Impact; leads the stakeholder engagement activities of the EPSRC (UK research council) funded UnBias project to develop regulation-, design- and education-recommendations for minimizing unintended, unjustified and inappropriate bias in algorithmic systems; and frequently contributes evidence to UK parliamentary inquiries related to ICT and digital technologies.

Ansgar has a multi-disciplinary research background, having previously worked and published on topics ranging from AI, bio-inspired Robotics and Computational Neuroscience to experimental Human Behaviour/Perception studies.

Transforming Customer Service with Multilingual Conversations

How AI is redefining omni-channel customer service for the better? In a global market, where customers expect to be spoken to in their native languages, balancing exceptional customer experience across all markets, with ever increasing cost pressures and operational realities is tough. This interactive workshop will explore how AI plus humans can deliver exceptional customer experience, in 28 languages, at scale, with multilingual live chats.

Vasco Pedro is the co-founder and CEO of Unbabel, with a mission of enabling everyone in the world to understand and be understood in any language. He has a Ph.D. in Language Technologies from Carnegie Mellon and has served as a mentor at The Founder Institute and Beta-i, where he helps startups navigate the early stages of development, focusing on team building, technology challenges and building testable MVPs.

The opportunity for startups to meet with leading AI investors, VCs and industry experts to pitch ideas, and gain advice on their business ideas and strategies. View the VC information here.