05 - 06 October 2022

Enterprise AI Summit Enterprise AI Summit schedule

Berlin AI Summit



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  • 08:00

    REGISTRATION & LIGHT BREAKFAST

  • 09:00

    WELCOME NOTE & OPENING REMARKS

  • CURRENT LANDSCAPE

  • 09:15
    Dubravko Dolic

    Building Blocks for Scalable AI Platforms

    Dubravko Dolic - Head of Applied Analytics & AI - Continental

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    Building Blocks for Scalable AI Platforms

    Programming with data since 1996. Focused on solving data driven problems. Generating insights by squeezing data sources. Loves IT and tools in the field of data analytics and data science.

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  • 09:40
    Tobias Bürger

    AI Platform Development

    Tobias Bürger - Lead Data Platform - BMW

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    AI Platform Development

    Tobias is currently responsible for the product "Big Data Analytics", part of the domain "Data and Artificial Intelligence Platforms" at the BMW Group which includes platforms for processing large amounts of data and applications in the area of vehicle engineering and autonomous driving. Prior to BMW he led all global efforts related to Big Data, Personalization and Digital Analytics at PAYBACK which is part of the American Express group.

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  • 10:05

    Best Practices for Embedding AI Across the Industry

  • 10:30

    COFFEE & NETWORKING BREAK

  • SUPPORTING AI IN ENTERPRISE

  • 11:00
    Carmen Martínez

    Conversational AI Considerations

    Carmen Martínez - Conversational UX Expert - FlixBus

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    Conversational AI Considerations

    Dr. Carmen Martinez is a Conversation Analyst and Ethnographer of Communication working in Conversational Artificial Intelligence at FlixBus. As an expert in human-to-human conversation, she contributes to a cross-disciplinary team by automating customer service interactions, modelling both text- and voice-based human-to-machine conversations, and developing visual solutions for graphical and multimodal conversational agents. Carmen holds a PhD in Conversation Analysis and is the author of “Conversar en español: un enfoque desde el Análisis de la Conversación” published by Peter Lang Berlin.

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  • 11:25
    Stefan Wellsandt

    Augmenting Data Analytics in Manufacturing with a Digital Assistant

    Stefan Wellsandt - Research Associate - BIBA

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    Augmenting Data Analytics in Manufacturing with a Digital Assistant: Insights from the COALA project

    The shortage of skilled workers is a barrier to applying data analytics. Augmented analytics is an approach to lower it by using machine learning to automate related activities and natural language applications to assist less-skilled employees. This talk will present a related case study from the white goods industry. It focuses on a quality test lab at the end of a production line where workers use a digital assistant prototype to interact with descriptive and predictive data analytics

    Stefan works as a research associate at the institute for production and logistics in Bremen (BIBA), Germany. His background is in industrial and mechanical engineering. Over the last ten years, he acquired expertise in information management and computer science, while working in various international and inter-disciplinary research projects. Stefan currently coordinates the Horizon 2020 research project COALA. Its goal is to build and test trustworthy, voice-enabled digital assistants for manufacturing

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  • 11:50

    Self-Service AI: Transforming the Customer Experience

  • 12:15
    Muslim Elkotob

    Assessing Real-World ML Performance

    Muslim Elkotob - Principle Solutions Architect - Vodafone

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    Assessing Real-World ML Performance

    Profound experience in designing, negotiating and evaluating KPIs, CSFs, SLAs; strategic roadmap and product design/ development; project acquisition, tenders, market analysis & business development, strategic positioning & benchmarking, Telco/IT solutions architectural design & pilot realization, business case development and realization incl. CAPEX&OPEX optimization

    Additionally Distinguished for: - International background (incl. full command of 7 languages, successful lead/completion of large multi-national projects), intercultural competence, and very strong communication/presentation skills - Community/consortium building and stakeholder management capabilities & having a powerful network of trusted partners and contacts throughout the IT/Telco ecosystem - High level of technical expertise in IT/Telco industry processes and systems and in solving complex problems

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  • 12:40

    LUNCH

  • CONSIDERATIONS FOR IMPLEMENTING AI

  • 13:40
    Vinoth Kannan

    Ethical, Legal, Cultural Consideration When Building ML Profiles

    Vinoth Kannan - Principle Product Owner - Data Platforms - Daimler

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    Ethical, Legal & Cultural Considerations When Building ML Profiles

    An accomplished Data & Cloud Architect and Product Leader with over a decade of hands-on experience with large-scale distributed systems, Big Data, and Cloud technologies. As a result-oriented thought leader, I have a track record of strategizing, designing multiple Advanced Analytics platforms, and building teams that drive value from data investment that matters.

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  • 14:05
    Deena Gergis

    Considerations When Building Your ML Teams

    Deena Gergis - Lead Data Scientist - Bayer

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    Considerations When Building Your ML Teams

    Because I believe in the untapped potential in each and every one of us, I develop AI products to automate intelligent processes, offering people more space to unfold their greatest potential. With every AI solution I deploy, someone is given the opportunity to step up to their true potential.

    Deena is a Lead Data Scientist at Bayer. Having received her MsC in Life Science Informatics at the University of Bonn, Deena worked as a Teaching and Research Assistant before joining Recogizer as a Data Scientist.

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  • 14:30
    Albin Jurkovic

    Supporting AI in Enterprise

    Albin Jurkovic - Product Owner - Big Data & Advancer Analytics - CommerzBank

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    Supporting AI in Enterprise

    Albin has 19 years+ experience in financial institutions, managing a diverse data-driven teams, enjoy creating best practices, implementing new tools and influencing cross-functional groups

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  • 14:55

    Creating Personalized Customer Profiles

  • 15:20

    COFFEE & NETWORKING BREAK

  • MANAGING AI

  • 15:50

    Ensuring Ethical AI

  • 16:15

    Panel: Implementing Robust AI Methodology at All Levels

  • Maria Monzon

    PANELLIST

    Maria Monzon - Data Scientist and Computer Vision Researcher - BASF

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    Biomedical Engineer with strong focus in Computer Science and Machine Learning after having successfully completed a bachelor in Telecommunication Engineering Bachelor. Extensive knowledge in:

    Medical Imaging and Bio-Signal Processing: MRI, EEG, ECG, segmentation, tracking, registration, classification, preprocessing, image analysis.

    Artificial intelligence: Pattern Recognition (PR), Deep Learning (DL), Computer Vision (CV), Machine Learning (ML), Convolutional Neural Networks (CNN), Transfer Learning, Classification, Regression, Supervised Learning Object Detection

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  • 17:00

    NETWORKING RECEPTION

  • 18:00

    END OF DAY ONE

  • 08:00

    REGISTRATION & LIGHT BREAKFAST

  • 09:00

    WELCOME NOTE & OPENING REMARKS

  • AUTOMOTIVE

  • 09:15
    Muzahid Hussain

    What’s the Future of Autonomous Driving?

    Muzahid Hussain - AI Expert - Project Manager - AUDI AG

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    What's the Future of Autonomous Driving?

    Muzahid received his MSc from the University of Stuttgart in 2015 and since has worked a variety of roles including Technology and Product Manager, AI Product Innovation at Dassault Systemes & AI Project/Product Manager at AUDI AG. He is currently working on his MSc from the University of Cambridge.

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  • 09:40

    Risk Management in Driver Assist

  • RETAIL & HOSPITALITY

  • 09:55
    David Castro-Gavino

    Beyond Brick & Mortar - Study

    David Castro-Gavino - Global VP Data - HelloFresh

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    Beyond Brick & Mortar - Case Study

    Coupled with a strong strategic vision of the future of technologies who looks beyond the “status-quo” to identify hidden opportunities for business productivity improvements and cost savings.

    A versatile negotiator who recognises that success is attributed to understanding end user challenges and creating vision, delivering simplified solutions and methodologies.

    With the aim to help businesses become Data-Driven and Customer Centric.

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  • 10:20
    Eric JoAchim Liese

    From DevOps to MLOps: Building End-to-End Pipeline for Fast, Simple & Reliable Deployment of ML in Retail

    Eric JoAchim Liese - Lead Architect & Advisor for AI & Big Data - BSH Home Appliances

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    From DevOps to MLOps: Building End-to-End Pipeline for Fast, Simple & Reliable Deployment of ML in Retail

    Currently working as a Lead Architect & Senior Consultant, responsible for designing Data Lakes of BSH. Designing concepts for automating data ingestion, ETL, data quality and productionization of ML/AI processes (MLOps) on AWS. Also helping BSH to shape a strategy to become a data and AI driven company.

    I am also an experienced Software Engineer, who has been working as a Lead Developer in many projects.

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  • 10:45

    COFFEE BREAK

  • MANUFACTURING

  • 11:15

    AI for Predictive Maintenance

  • CUSTOMER SERVICE

  • 11:40
    Calvin  Seward

    AI for Customer Recommendations

    Calvin Seward - Research Scientist - Zalando

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    AI for Customer Recommendations

    Calvin Seward is a Research Scientist for Zalando's Research Lab, working mainly on unsupervised and semi-supervised computer vision problems including classification, localization and semantic segmentation. The main line of attack for these problems is deep neural networks written in the Tensorflow framework and trained on GPU clusters. At the same time, he is involved in applying lessons from GPU-driven HPC computing and cutting edge Machine Learning to other fields of the Zalando universe. Past projects have included sizing solutions for online retail, warehouse management and recommendation systems.

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  • PERSONALISATION

  • 12:05
    Sarah Haq

    Build and Maintain Accurate Customer Profiles

    Sarah Haq - Principle Data ML Lead - Artsy

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    Build and Maintain Accurate Customer Profiles

    Sarah is the Principle Data ML Lead for Artsy and a Lecturer at the Technische Universitat, Berlin. She is an experienced Data Scientist with a demonstrated history of working in art, marketing and other industries.

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  • 12:30

    LUNCH

  • CROSS INDUSTRY IMPLEMENTATION

  • 13:40

    Creating World Class Applications with Convolutional Neural Networks

  • 13:55
    Andre Meyer-Vitali

    Trustworthy Hybrid AI

    Andre Meyer-Vitali - Senior Researcher - DFKI

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    Trustworthy Hybrid AI

    While in recent years AI systems have shown an increased performance at solving complex tasks, these systems still suffer from a lack of reliability, robustness, transparency and other related problems that question their trustworthiness. A trend that aims at improving the trustworthiness of these systems is hybrid AI that will be introduced with a taxonomy and modular design patterns for describing and designing trustworthy AI systems to unify statistical (data-driven) and symbolic (knowledge-driven) methods. We will also dive into graph-representation and multi-agent learning and reasoning in order to give some examples and a context in which the patterns can be used

    Dr. André Meyer-Vitali is a computer scientist who got his Ph.D. in software engineering and distributed AI from the University of Zürich. He worked on many applied research projects on multi-agent systems at Philips Research and TNO (The Netherlands) and participated in AgentLink. He also worked at the European Patent Office. Currently, he is a senior researcher at DFKI (Germany) focused on engineering and promoting Trusted AI and is active in the AI networks TAILOR and CLAIRE. His research interests include Software und Knowledge Engineering, Design Patterns, Hybrid Neuro-Symbolic AI, Causality, and Agent-based Social Simulation (ABSS) with the aim to create Trust by Design. Email: [email protected] https://www.dfki.de/en/web/about-us/employee/person/anme08 https://www.linkedin.com/in/andrepmeyer/

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  • 14:20

    Panel: What is the Future of AI Adoption?

  • 15:00

    END OF SUMMIT

Berlin AI Summit

Berlin AI Summit

05 - 06 October 2022

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