• 08:00

    REGISTRATION & LIGHT BREAKFAST

  • 09:00

    Welcome Note & Opening Remarks

  • CONVERSATIONAL LANDSCAPE

  • 09:15
    Florin Coman

    Top 3 Most Complex Projects in the Current Environment

    Florin Coman - Conversational AI Architect   - Bosch

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    Top 3 Most Complex Projects in the Current Environment

    Even if AI provides “state of the art” solutions and research is gaining more ground, in real life Conversational AI doesn’t always have the impact expected by many. Florin and Zsolt Szekely will address the current challenges and will present a live demo of the latest and most complex developments. We at Bosch Service Solutions believe that the time for power point presentations, in which we create unrealistic expectations, need to be put behind us, and the focus should be on projects that can have immediate impact and the capacity to engage users, giving the same importance also to low-resourced languages.

    This year, Florin together with his team started the implementation of complex Conversational AI frameworks (available for all languages, channels, and use-cases) designed to improve the AI based solutions within Bosch SO. The target is to continue the deployment of projects in each of the five Conversational AI pillars: Voicebots, Chatbots, Translation AI, Text/Email AI and Agent Assist AI. Prior to this role, Florin was involved in research, start-ups and other summits as keynote speaker - all these experiences giving him a 360 degree perspective on trends and challenges.

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  • 09:40
    Yariv Adan

    Superhuman Conversational AI

    Yariv Adan - Product Lead - Google

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    Superhuman Conversational AI

    AI has reached superhuman levels in various areas such as playing complex strategic and video games, calculating protein folding, and visual recognition. Are we close to superhuman levels in conversational AI as well? In his talk, Yariv will address this question, sharing some of the recent developments from Google Cloud AI, Google Brain Research, Deepmind, and Duplex - across speech recognition and generation, and natural language understanding.

    For the past 10 years, Yariv has been leading products and product teams at Google Zurich. In his current role, he is leading the Zurich product team working on the Google Assistant. Prior to this role, Yariv worked on a wide range of products, including proprietary Google infrastructure, privacy and security, products designed for the Emerging Markets, and even the notorious non skippable ads on YouTube. Before joining Google, Yariv was an engineering manager in various Israeli start-ups and companies.

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  • 10:05
    Özge Karadag

    How to Successfully Scale Chatbot Development Across a Global Enterprise

    Özge Karadag - Data Analyst & AIoT Corporate Influencer - Bosch Rexroth

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    How to Successfully Scale Chatbot Development Across a Global Enterprise

    The [email protected] program aims to empower all Bosch Rexroth countries to ramp up their own chatbots. The goal is to rapidly scale up the most impactful bots and roll out positive experiences globally. This mission comes with challenges such as decentral requirements, global qualification program, demand management, central development, central reporting and KPI management, and also the development of a concierge bot concept. The presentation will share insights and learnings from the parallel development of multiple chatbots, all based on Cognigy.AI as an enterprise solution.

    Özge is a Data Analyst in Bosch Rexroth. She studied Industrial Engineering and IT and have a background in Online Marketing for 4 years. Her area of expertise is to create a data management strategy for the marketing, customer sales and communication behaviour. She collects, organizes, extrapolates, interprets, and builds Power BI-based Dashboards for Global Sales Management to make important sales and customer service-oriented decisions. Her team are also collecting chat data in order to implement machine learning and use that valuable data in order to improve their chatbots based on these agent-customer conversations. Additionally, she is the Linkedin Corporate Influencer of Bosch Rexroth regarding AIoT communication

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  • Oliver Maus

    How to Successfully Scale Chatbot Development Across a Global Enterprise

    Oliver Maus - Senior Program Manager Chatbot & OCS Technologies - Bosch Rexroth

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    How to Successfully Scale Chatbot Development Across a Global Enterprise

    The [email protected] program aims to empower all Bosch Rexroth countries to ramp up their own chatbots. The goal is to rapidly scale up the most impactful bots and roll out positive experiences globally. This mission comes with challenges such as decentral requirements, global qualification program, demand management, central development, central reporting and KPI management, and also the development of a concierge bot concept. The presentation will share insights and learnings from the parallel development of multiple chatbots, all based on Cognigy.AI as an enterprise solution.

    Oliver has 35 years of experience in software development. Before joining Bosch Rexroth in 2007, he worked for various software modeling solution providers. Early on, he specialized in the development and consulting of generative software development approaches based on abstract software architecture models.

    Most recently, he developed a highly configurable online chat system based on Genesys that can be adapted to the different requirements of our many Rexroth countries. Building on this, he is the responsible Program Manager for [email protected], a global program that enables all Rexroth countries to develop their own chatbots. In addition, he has experience with machine learning with a focus on natural language understanding.

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  • 10:30

    COFFEE & NETWORKING BREAK

  • 11:00
    Michael McTear

    Creating Conversational Assistants: Challenges and Solutions

    Michael McTear - Emeritus Professor - Ulster University

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    Creating Conversational Assistants: Challenges and Solutions

    Conversational assistants are all around us – as smart speakers in our homes, on our smartphones, in our cars. The Conversational AI market is expanding dramatically and major technology companies are producing ever larger language models and datasets to support the development of conversational assistants. However, the use of these assistants is currently mainly restricted to one shot conversations involving commands or questions, or in some cases to fulfilling well-defined tasks. More open conversations are still within the realm of research, yet these systems will be needed for new areas of application such as conversational commerce, healthcare and mental health support, and the promotion of active and healthy ageing in older people. Traditional approaches based on best-practice guidelines are compared with new neural dialogue based approaches. The presentation concludes with a brief look at some recent projects in which I have been involved and the different ways in which they are addressing the challenges faced by designers and developers of conversational assistants.

    Michael McTear is an Emeritus Professor at Ulster University with a special interest in spoken language technologies. He has been researching in the field of spoken dialogue systems for more than 20 years and is the author of several books, including Spoken Dialogue Technology: Toward The Conversational User Interface (Springer, 2004), Spoken Dialogue Systems (Morgan and Claypool, 2010), with Kristiina Jokinen, The Conversational Interface: Talking to Smart Devices (Springer, 2016), with Zoraida Callejas and David Griol, and Conversational AI ( Morgan & Claypool 2020). Michael has delivered keynote addresses and tutorials at many academic conferences and workshops, including SpeechTEK, Conversational Interaction, ProjectVoice, REWORK AI Assistant Summit, and the European Chatbot Conferences. Currently Michael is involved in several research and development projects investigating the use of conversational agents in socially relevant projects such as mental health monitoring, and home monitoring of older persons.

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  • NATURAL LANGUAGE UNDERSTANDING

  • 11:25
    Dhaval Thakker

    Conversational AI: Mind The Knowledge Gap

    Dhaval Thakker - Professor of AI & IOT - University of Hull

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    Conversational AI: Mind The Knowledge Gap

    Using NLP, NLG, Knowledge Graphs and Deep learning technologies makes it possible to build Conversational AI systems. Gaps in knowledge used by such a system are a critical challenge in achieving high accuracy and realistic Conversational AI. The knowledge gaps exist due to the lack of knowledge about the subject of conversation, or the knowledge the AI systems are built on becomes outdated. In this talk, Prof Thakker will present his research as part of an Innovate UK-funded project for building a Conversational AI system to support UK Immigration casework. Immigration law advice is a specialist domain, and underlying subject knowledge frequently changes due to changes in the immigration rules. Such knowledge dynamism is a common characteristic in other specialist domains such as other areas of law advice, financial advice, and medical advice. Prof Thakker will present work as part of this project in building NLP, NLG and Knowledge graph pipelines for conversational AI and explore techniques to overcome knowledge gap challenges. He will share lessons learnt with broader applicability in other domains.

    Professor Dhaval Thakker is a Full Professor in Artificial Intelligence and the Internet of Things (IoT) at the University of Hull, UK. Dhaval has over fifteen years of working experience in the European Union(EU) and industrial projects researching and delivering innovative solutions. He has been a PI on projects with over €1m funding from Innovate UK, and European Commission. This includes the SCORE (Smart Cities and Open Data REuse) project with nine European cities and three other Universities and an Innovate UK-funded project on “Artificial Intelligence and UK Immigration law”, where his research focuses on Conversational AI.

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  • 11:50

    Data-Driven Language Understanding

  • 12:15

    PANEL - Successfully Implementing Conversational AI

  • Kane Simms

    MODERATOR

    Kane Simms - Founder - VUX World

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    Kane Simms is one of the conversational AI industry's primary thought leaders and host of the renowned conversational AI and CX podcast, VUX World. Kane's been published in the likes of Harvard Business Review and voted in the top 10 voice AI influencers (Voicebot, SoundHound). Kane is a speaker, analyst and consultant who helps business leaders and teams realise the future of CX excellence using emerging AI and NLP technologies.

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  • Tripta Kumari

    PANELIST

    Tripta Kumari - Senior Product Designer - PlayStation

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    Tripta Kumari’s twenty-year UX career has involved designing for voice, mobile, web, and multi-modal platforms – creating experiences which feel natural and enjoyable. Nuance-trained in conversational UI and natural language interaction, she’s worked with companies including PlayStation, Intel, Vodafone, BT, Skype, Sony Ericsson, John Lewis, TomTom, Emirates and ING. She was one of the co-authors of 97 Things Every UX Practitioner Should Know (O’Reilly, 2021).

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  • Sonia Ingram

    PANELIST

    Sonia Ingram - Data Science Engineering Lead for Natural Language Engineering - Lloyds Banking Group

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    Sonia is the Data Science Engineering Lead for Natural Language Engineering at Lloyds Banking Group. Working at the intersection between machine learning, linguistics and software development, Sonia strives to unlock the value of unstructured data at the Enterprise level. Prior to starting at Lloyds, Sonia worked as a consultant Data Scientist for BJSS, working on projects spanning workforce planning, hospital wait time forecasting, Ethical AI, data science life cycle, and biomedical knowledge graphs.

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  • 12:55

    LUNCH

  • 13:55
    Alexandre Mourachko

    No Language Left Behind: Scaling a Machine Translation Pipeline to Low Resource Languages

    Alexandre Mourachko - Research Engineering Manager - Meta

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    No Language Left Behind: Scaling a Machine Translation Pipeline to Low Resource Languages

    Progress in machine translation has coalesced around a small subset of languages, leaving behind the vast majority of mostly low-resource languages. In No Language Left Behind, we took on the challenge of breaking the 200 language barrier, scaling on the engineering and modeling side, but also on evaluation. Our model achieves an improvement of 44% BLEU relative to the previous state-of-the-art, laying groundwork towards universal translation. This presentation will first give an overview of our approach. It will then dive deep into our automated data mining system, which was key in identifying precious training data for low-resource languages.

    Alexandre Mourachko is a Research Engineering Manager at Meta AI. He currently leads research and engineering efforts for the No Language Left Behind project, which aims at breaking language barriers across the world by scaling machine translation to more low resource languages. Within this highly multidisciplinary endeavor, his research team focuses on bringing sentence representation learning to the next level, scaling data mining pipelines to web corpora, and mitigating toxicity and bias in translation model outputs. Before joining Meta, Alexandre was leading Machine Learning research teams fighting toxic behaviors in multilingual online gaming communities.

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  • CONVERSATIONAL AI INFRASTRUCTURE

  • 14:20
    Jeff Dalton

    From Conversational Search to Real-World Tasks and Beyond: The Future of Multi-Modal Assistance

    Jeff Dalton - Assistant Professor in Computer Science - University of Glasgow

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    From Conversational Search to Real-World Tasks and Beyond: The Future of Multi-Modal Assistance

    Conversational assistants are rapidly evolving with significant potential, but with fundamental challenges that need to be overcome to realize their potential. This talk presents current challenges and future directions for knowledge grounded conversational agents. It discusses current progress from experience developing systems and benchmarks in conversational search, with leading media organizations, and the development of the winning agent in the Alexa TaskBot challenge. It presents fundamental challenges in conversational knowledge-grounded language understanding and discusses issues on controllability of neural generative models. It highlights future directions including multi-modal understanding, new forms of mixed-initiative and rich interactions, and increasingly complex tasks.

    Dr. Jeff Dalton is an Associate Professor (Senior Lecturer) in the School of Computing Science at the University of Glasgow where he leads the Glasgow Representation and Information Learning Lab (GRILL) (https://grilllab.ai). His research focuses on text understanding and conversational information seeking. He completed his Ph.D. at the University of Massachusetts Amherst in the Center for Intelligent Information Retrieval. Later in Google Research, he worked on Information Extraction as part of the Knowledge Discovery Team (Knowledge Vault) and on language understanding in the Assistant Response Ranking team. He is the lead organizer for the TREC Conversational Assistance Track (CAsT) (http://treccast.ai) benchmark, the longest running conversational search benchmark. He is the recipient of a prestigious UKRI Turing AI Acceleration Fellowship on Neural Conversational Assistants and received research awards from Google, Amazon, and Bloomberg. He is the faculty advisor for the UoG GRILLBot team that won the 2021/2022 Alexa Prize Taskbot Competition, the first grant challenge to include multi-modal aspects. He holds multiple patents in retrieval, information extraction, and question answering.

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  • 14:45

    Building Conversational UI at Scale

  • 15:10

    COFFEE & NETWORKING BREAK

  • 15:45
    Asmita Poddar

    AI for Spoken Communication

    Asmita Poddar - Software Development Engineer - Amazon Alexa

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    AI for Spoken Communication

    Do you want to know how chat bots like Amazon Alexa works? Why does Alexa understand what you say and how does she know what to answer? In this event we will discuss AI building blocks that Alexa has and what kind of improvement does AI provide in contrast to rule-based solutions.

    Asmita is a Software Development Engineer at Amazon Alexa, where she works on developing and productionizing natural language processing and speech models. Deeply drawn to the idea of multi-disciplinary collaboration, Asmita also has prior experience in applying machine learning in diverse domains such as healthcare, genomics and music recommendation. She has previously worked at the National University of Singapore, INRIA Lille-Nord Europe and Academia Sinica- Taiwan, where she did research, developed software and machine learning methods for these various applications. Asmita holds a Masters degree in Computer Science from the University of Oxford.

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  • 16:10
    Simon Keizer

    Transfer Learning for Conversational AI: a Multidimensional Approach

    Simon Keizer - Research Engineer - Toshiba Europe Limited

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    Transfer Learning for Conversational AI: a Multidimensional Approach

    The emergence of deep learning and recent advances in using large pre-trained language models have given conversational AI a big impulse. For a range of applications, models can be fine-tuned with only a limited amount of application specific data. However, for scalable development of spoken dialogue interfaces with true conversational intelligence, ultimately this approach may very well prove to be insufficient. In this presentation, I will argue for a multi-dimensional dialogue modelling approach, and discuss experiments, in which its transfer learning potential is demonstrated for the case of adapting reinforcement learning-based dialogue policies to a new application.

    Simon Keizer is a research scientist specialized in conversational AI. He has a BSc/MSc in Applied Mathematics and a PhD in Computer Science, both from the University of Twente (The Netherlands). Simon has been active in spoken dialogue systems research for more than 18 years, focusing on topics such as statistical dialogue management, reinforcement learning, and user simulation. He has been involved in several national and international research projects at Tilburg University, University of Cambridge, Heriot-Watt University Edinburgh and the Vrije Universiteit Brussel, and is currently a research engineer in the Cambridge Research Lab, Toshiba Europe Limited.

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  • ETHICAL CONSIDERATIONS

  • 16:35

    Conversational AI: Creating a Framework of Ethics and Trust

  • 17:00

    NETWORKING RECEPTION

  • 18:00

    END OF DAY 1

  • 08:00

    REGISTRATION & LIGHT BREAKFAST

  • 09:00

    Welcome Note & Opening Remarks

  • PERSONALISATION

  • 09:10
    Alan Bekker

    Towards Conversational AI Virtual Entities in the Metaverse

    Alan Bekker - Head of Conversational AI - Snap

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    Towards Conversational AI Virtual Entities in the Metaverse

    Recently we witnessed the development of a new era in the fields of speech synthesis and language modeling -- enabling humans to machine natural dialogs. Simultaneously the emerging face manipulation and GANs technologies allowing us the generation of visual content including facial expressions and lips sync have opened the door for multimodal virtual entities for the first time in history.

    Alan is a serial AI Entrepreneur with a passion for revolutionary products enabling multi-modal and natural Human-Machine interactions. With a strong and deep understanding of SOTA in Machine Learning Research, he is a Doctor of Philosophy (Ph.D.) focused in Artificial Intelligence & Deep Learning, Harvard Business School Alumni. Alan sold his last company to Snap and today functions as the Head of Conversational AI. He was recognized as a Forbes 30 under 30 in the European list.

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  • 09:35
    Karyna Tubolyeva

    Bot Community or How we Adapted the "Master Bot" Concept?

    Karyna Tubolyeva - Conversational Experience Expert - E.ON

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    Bot Community or How we Adapted the "Master Bot" Concept?

    We all are used to topic-specific bots in corporations. When you struggle with your payroll - chat with an HR chatbot; when you have an issue with your laptop - get in touch with an IT virtual assistant. But what if all of them were combined into one master bot? This is how we at E.ON started building up Bot Community, a concept where a so-called mother bot operates together with several children, better known as skills. You will see how we started, what challenges we faced along the way, what we have learned and where we go.

    Karyna Tubolyeva is a Conversational Experience Expert in E.ON Digital Technology. Her area of expertise is Conversational and Persona Design for voice and chatbots and Natural Language Understanding. Karyna works on several E.ON Group internal and external Conversational AI projects and products from chat to voice interfaces. She educates international business units on leveraging Conversational AI and cooperates with universities to attract more young talents to the topic.

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  • 10:00
    Paulina Lewandowska

    Building an empathetic AI companion

    Paulina Lewandowska - Experiments Enabling Lead/Conversational Engineer - Roche

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    Building an Empathetic AI Companion

    Have you ever wondered if you will consult your flu symptoms with a robot to ensure this is not a COVID-19? Well, this is actually not a Sci-Fi movie; this is happening now. It is not only chatbots and voicebots anymore. The spotlights also go to Digital Humans. These computer-generated characters simulate human face-to-face conversation, including verbal and nonverbal behavior. With the complex set of advanced technology components that stand behind them, they have a great chance to use their emotional intelligence and build relationships with patients, but does the complexity and immaturity of technology allow them to get real?

    For over 20 years, my passion has driven me to create solutions embedded in our daily lives, making them easier and more exciting. But more importantly, technological solutions, which increase the quality of people's lives and are accessible and inclusive to everyone who needs it. For the last two years, this passion has evolved around digital virtual assistants, which can help people with various diseases get support faster and easier. In my daily work, I'm experimenting with voice, text, and gesture technology to make it accessible and convenient to everyone.

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  • Joanna Skotarczyk

    Building an empathetic AI companion

    Joanna Skotarczyk - Expert Software Developer - Roche

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    Building an Empathetic AI Companion

    Have you ever wondered if you will consult your flu symptoms with a robot to ensure this is not a COVID-19? Well, this is actually not a Sci-Fi movie; this is happening now. It is not only chatbots and voicebots anymore. The spotlights also go to Digital Humans. These computer-generated characters simulate human face-to-face conversation, including verbal and nonverbal behavior. With the complex set of advanced technology components that stand behind them, they have a great chance to use their emotional intelligence and build relationships with patients, but does the complexity and immaturity of technology allow them to get real?

    Software Developer Superwoman with a mission to save Pharma-world by developing software and evangelizing experimentation culture. Working for the Roche company for over 8 years, where she’s digging into business problems and solving them with modern technology. Passionately curious and fascinated in technology, especially in novel human-computer interfaces with emphasis on chatbots, voicebots, mobile applications, and extended reality.

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  • COFFEE & NETWORKING BREAK

  • APPLICATIONS & USECASES

  • 10:55
    Natalia Konstantinova

    Conversational AI: Pathway to Success

    Natalia Konstantinova - Architecture Lead in AI - BP

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    Conversational AI: Pathway to Success

    Conversational AI is a powerful technology and can deliver great results if used appropriately. In this talk we would discuss which types of interactions and projects are more suitable for Conversational AI and which are not. We will also cover some recipes to deliver a successful Conversational AI such as attention to conversational design, smart use of data and tracking the right metrics.

    Natalia Konstantinova is a great enthusiast with over 10 years' experience in the application of Natural Language Processing, Artificial Intelligence, IT and machine learning technologies to real world problems. She is currently an AI Lead Architect at BP and her role is to lead the design and delivery of AI Solution Patterns, develop standards and best practices to accelerate the adoption and implementation of AI enabled solutions, and doing so with the right level of compliance and standards within BP. Natalia got her PhD from the University of Wolverhampton and worked in various fields such as machine translation, ontologies, information extraction, dialogue systems and chat bots. Natalia is a strong believer that modern technology can transform businesses and our everyday life.

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  • 11:20

    Leveraging Speech Acts for Conversational AI

  • 11:45
    Ben Ackland

    Unlocking the Potential of Conversational AI in Interactive Entertainment

    Ben Ackland - Project Lead - CAGE

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    Unlocking the Potential of Conversational AI in Interactive Entertainment

    We’re on the cusp of a revolution in gaming and interactive entertainment: being able to speak to characters that understand us and then respond with relevant, engaging dialog. This talk will provide an insight into using voice input, conversational AI and computer-generated speech to interact with games, characters and their worlds.

    Ben will present his team's work on applying these technologies in gaming, explore the potential of conversational AI in interactive entertainment, and reflect on some of the key challenges and lessons learnt so far.

    Ben studied Computer Science at Bristol University and has a background in software development and business management, with 13 years’ experience delivering online projects in a variety of settings. In 2020 he started to focus on voice interfaces and conversational AI, prototyping an audio adventure game to illustrate the potential of these in gaming. He is now working with a team of creative technologists to make this technology work for people and studios in interactive entertainment, supported by Creative UK, ERDF and UK government.

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  • 12:10
    Christoph Börner

    The True ROI of Chatbot Test Automation

    Christoph Börner - Co-Founder - Cyara, Botium

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    The True ROI of Chatbot Test Automation

    Customer Experience is constantly improving among chatbot users, but maintaining chatbots is not as simple and requires comprehensive testing. In many cases, testing is done manually which can result in human errors and can be human resource intensive, resulting in higher maintenance costs. Through automated testing and training of conversational AI, businesses will see the true value of chatbots with lower overhead expenses, less time wasted on manual testing, and of course, better customer experiences as chatbots are working as intended. With Botium, your organization will have a one-stop solution for your comprehensive, automated chatbot testing and assurance needs.

    In a few words, Christoph is an entrepreneur, developer, tester, keynote speaker and drummer. Active member and organizer in the testing community. Deep interest in artificial intelligence, machine learning and chatbots from day one. Close friendship with Florian Treml, with whom I started developing the open source Botium Core in 2018 to reinvent automated testing for chatbots. Today, Botium is part of Cyara's award-winning CX Assurance Platform and can be considered as the first choice of testing and training Conversational AI.

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  • 12:25

    LUNCH

  • 13:25
    Ross Parkes

    Hana (HomeServe's Automated Natural Assistant) - Using Conversational AI to Automate Customer Interactions

    Ross Parkes - NLP & Telephony Manager - HomeServe

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    Hana (HomeServe's Automated Natural Assistant) - Using Conversational AI to Automate Customer Interactions

    Diagnosing an issue in a Customer’s home to deploy an engineer can be a complex query at times for an agent in a Contact centre. HomeServe has used conversational AI to diagnose a Customer’s issue with only two or three questions, resulting in a more efficient conversation. Using Google Dialogflow, Twilio and partnering with Sabio HomeServe have been able to automate over 20% of its deployed Claims and reduce handle time up to 30 seconds in the contact centre through improved call segmentation and richer information passed from Hana (HomeServe’s Automated Natural Assistant) to the contact centre agents.

    For the past 2 years Ross has been the lead for HomeServe in designing the intent model that sits behind Hana, creating a model that has over a hundred intents for household claims and customer service interactions. Prior to the Hana program Ross has experience with more mature contact centre telephony technology, designing and maintaining DTMF IVR’s in Gamma and Avaya. He also has a background in operational planning, with a history of tactical forecasting and scheduling in the contact centre using products that include Verint.

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  • 13:50

    Developing and Deploying Conversational AI for Customer Experience

  • 14:05
     Stine Nørgaard Olesen

    Using a chatbot to do DevOpsCust

    Stine Nørgaard Olesen - VP, Head of Agile Execution & UX & Service Design - Alm. Brand

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    Developing and Deploying Conversational AI for Customer Experience – Using a Chatbot to do DevOpsCust

    How do you re-invent great customer experience in a 230-year-old compliance regulated conservative company – whose products are the least sexy you can buy, and whose customers identify your brand with an old man in tweed? This is a story about combining courage, girl power, experimenting with true agile methodologies and conversational AI, and how we succeeded in 2 months. *Development – Operations - Customer

    Stine is the VP, Head of Agile Execution and UX & Service design at Alm. Brand Group (DK). She is a certified AI Trainer and Scrum Master (SASM 5.0, PSM-1, PSPO-1, LeSS) and helps organizations by promoting Agile Values and Principles, and by using frameworks like Scrum, Kanban, Management 3.0, Liberating Structures and Visual Facilitation. Stine has worked with agile transformations and software development for 15 years and recently learned that combining this with conversational AI is a means to obtain true agiity – involving customers and users in the development and deployment process in order to obtain faster and better results.

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  • 14:30

    PANEL: Addressing the Future of Conversational AI

  • Kane Simms

    MODERATOR

    Kane Simms - Founder - VUX World

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    Kane Simms is one of the conversational AI industry's primary thought leaders and host of the renowned conversational AI and CX podcast, VUX World. Kane's been published in the likes of Harvard Business Review and voted in the top 10 voice AI influencers (Voicebot, SoundHound). Kane is a speaker, analyst and consultant who helps business leaders and teams realise the future of CX excellence using emerging AI and NLP technologies.

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  • Somnath Biswas

    PANELST

    Somnath Biswas - Head of Product - Conversations - TotalJobs Group

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    Somnath Biswas has been working on enterprise and retail digital products for the past 20+ years, working with Tier 1 consultancies and multiple startups including his own in the enterprise conversational AI space. His products have spanned across Telecommunications, Financial services, Healthcare, Regulatory & Compliance and JobTech domains. For the past 6-7 years he has been building core ML and NLP products for the likes of NatWest, IQVIA, Amazon and most recently with the TotalJobs Group, where he heads the conversational products domain.

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  • Mike Hales

    PANELIST

    Mike Hales - Digital Product Owner - Conversational AI - BT

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    Mike Hales has worked in the digital realm for more than 20 years across radio, TV, ISPs, magazines, telco and more for businesses spanning start-ups, Aol, BBC, Virgin Radio and Universal Music. With roots in UX and experience design, Mike has focused on AI and conversational design for the past 7-8 years for the likes of Vodafone and most recently BT.

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  • 15:00

    END OF SUMMIT

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