Enterprise AI Summit schedule

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.

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.

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.

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

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

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.

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.

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

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

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.

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.

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.

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.

In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.

To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.

AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:

• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks

Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.

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.

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: Andre.Meyer-Vitali@dfki.de https://www.dfki.de/en/web/about-us/employee/person/anme08 https://www.linkedin.com/in/andrepmeyer/

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.

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.

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.

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

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

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.

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.

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

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

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.

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.

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.

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.

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.

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: Andre.Meyer-Vitali@dfki.de https://www.dfki.de/en/web/about-us/employee/person/anme08 https://www.linkedin.com/in/andrepmeyer/