big-data.ai
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https://big-data.ai/programme-2023
Submission: On August 16 via api from IE — Scanned from DE
Submission: On August 16 via api from IE — Scanned from DE
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PROGRAMME Together with our partner conference Quantum Summit 2023, we will explore how to unlock the value of technology for your company. Tickets for #BAS23 are valid for both conferences. You can find the programme of #quantumsummit23 here. 20 SEPTEMBER 2023 Grace Hopper Stage Alan Turing Stage Workshop Room 10:00— 10:10 Opening * Dr Marianne Janik (Member of the Executive Board, Bitkom) Opening Grace Hopper Stage 10:00—10:10 Dr Marianne Janik CEO, Microsoft Deutschland Member of the Executive Board, Bitkom Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 10:10— 10:20 From AI to Quantum Computing: Building Ecosystems, Empowering Innovation, Strengthening Sovereignty * Mario Brandenburg (Federal Ministry of Education and Research) From AI to Quantum Computing: Building Ecosystems, Empowering Innovation, Strengthening Sovereignty Grace Hopper Stage 10:10—10:20 Mario Brandenburg Parliamentary State Secretary to the Federal Minister of Education and Research Federal Ministry of Education and Research Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 10:20— 10:40 The Last Bottleneck: Is Artificial Intelligence on the Way to its Own Innovation? * Jonas Andrulis (Aleph Alpha) * Edmondo Orlotti (Hewlett Packard Enterprise) The Last Bottleneck: Is Artificial Intelligence on the Way to its Own Innovation? Grace Hopper Stage 10:20—10:40 Jonas Andrulis CEO & Founder Aleph Alpha Edmondo Orlotti Director of Business Development, HPC & AI Cloud Services Hewlett Packard Enterprise Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 10:40— 11:00 Foundation Models, Generative AI, and Classic Bots: Where Is the Best Trade-Off? Use Cases, Possibilities for Integration and the Example of "Customer Service” * Dr Wolfgang Hildesheim (IBM Technology DACH) Foundation Models, Generative AI, and Classic Bots: Where Is the Best Trade-Off? Use Cases, Possibilities for Integration and the Example of "Customer Service” Grace Hopper Stage 10:40—11:00 Classic bots, such as chatbots, voicebots and smart assistants, are in vogue. For example, in call and service centers, companies automate answering questions, solving problems, or selling simple products. Generative AI promises to improve these solutions. But how does one deal with the sometimes-glaring errors? Foundation models play a crucial role in this. How can all three approaches be combined? Dr Wolfgang Hildesheim Head of Data Science & Artifical Intelligence Leader IBM Technology DACH Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:00— 11:20 Setting Your Generative AI Appetite: Evaluating Risks and Opportunities * Katharine Jarmul (Thoughtworks) Setting Your Generative AI Appetite: Evaluating Risks and Opportunities Grace Hopper Stage 11:00—11:20 Katharine Jarmul Principal Data Scientist Thoughtworks Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:20— 11:40 How Product Thinking Helps to Unlock the Value of Data * Christin Schink (HelloFresh) How Product Thinking Helps to Unlock the Value of Data Grace Hopper Stage 11:20—11:40 Companies have been investing heavily in data teams and capabilities over the last few years. The hype around AI accelerates that even further. But intelligent solutions and fast, reliable decision-making need high-quality data. This session will share how introducing data product managers and “data as a product” thinking at HelloFresh helped to unlock the value of data faster. Christin Schink Snr Director, Data Product HelloFresh Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:40— 12:00 Fujitsu Fujitsu Grace Hopper Stage 11:40—12:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 12:00— 13:00 Lunch Lunch Grace Hopper Stage 12:00—13:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:00— 13:40 Policy Discussion | AI Act & AI Policy * Evelyn Graß (Federal Ministry of Economics and Climate Protection) * Jens Redmer (Google) * Julia Sterling (Commerzbank) * Kai Zenner (European Parliament (MEP Voss)) Policy Discussion | AI Act & AI Policy Grace Hopper Stage 13:00—13:40 Evelyn Graß Head of Artificial Intelligence, Data Economy, Blockchain Unit Federal Ministry of Economics and Climate Protection Jens Redmer Google Julia Sterling Vice President (Business Development for Big Data & Advanced Analytics) Commerzbank Kai Zenner Head of Office & Digital Policy Advisor European Parliament (MEP Voss) Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:40— 14:20 Panel discussion | The Deep Tech Dilemma: Is Germany Poised for Success or Stuck in Innovation Quicksand * Dr Anna Christmann (Federal Ministry for Economic Affairs and Climate Action) * Nico Kelling (Infineon Technologies) * Dr Frederick Struckmeier (Trumpf SE + Co. KG) Panel discussion | The Deep Tech Dilemma: Is Germany Poised for Success or Stuck in Innovation Quicksand Grace Hopper Stage 13:40—14:20 Dr Anna Christmann Commissioner of the Federal Ministry for Economic Affairs and Climate Action for the Digital Economy and Startups Federal Ministry for Economic Affairs and Climate Action Nico Kelling Vice President, Head of Corporate Center of Excellence AI Infineon Technologies Dr Frederick Struckmeier Head of Quantum Applications Group Trumpf SE + Co. KG Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:20— 14:40 Data Literacy – Cultivating Essential Skills for Tomorrow * Dr Christian Zinke-Wehlmann (Competence Center Artificial Human Intelligent (KMI) at the Institute for Applied Computer Science at the University of Leipzig) Data Literacy – Cultivating Essential Skills for Tomorrow Grace Hopper Stage 14:20—14:40 In the presentation titled "Data Literacy – Cultivating Essential Skills for Tomorrow," we delve into the crucial role of data literacy in our rapidly digitizing world. The significance of having a fundamental understanding of data as well as data products, their role, and their implications, particularly in the context of digital transformations and AI, will be emphasized. We illustrate the opportunities and challenges brought about by a data-driven society and shed light on why understanding and utilizing data as well as data products have become essential skills. This session will also provide insights into a data literacy platform, which aims to enhance data literacy skills, both at individual and organizational levels. It will enable the audience to effectively navigate, comprehend, and utilize data in their daily lives and professional settings. The ultimate goal is to empower individuals and institutions to harness the power of data in meaningful ways, thereby fostering a more informed, effective, and digitally advanced society. Dr Christian Zinke-Wehlmann Competence Center Manager Competence Center Artificial Human Intelligent (KMI) at the Institute for Applied Computer Science at the University of Leipzig Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:40— 15:20 Panel discussion | Chief Data Scientists in the German Government: Challenges and Choices * Dr Franziska Brecht (Federal Ministry for Economics and Climate Action) * Dr Nicola Jentzsch (Federal Ministry of Education and Research) * Hans-Christian Mangelsdorf (Federal Foreign Office) Panel discussion | Chief Data Scientists in the German Government: Challenges and Choices Grace Hopper Stage 14:40—15:20 Dr Franziska Brecht Federal Ministry for Economics and Climate Action Dr Nicola Jentzsch Chief Data Scientist Federal Ministry of Education and Research Hans-Christian Mangelsdorf Federal Foreign Office Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 15:20— 15:40 Delivering Value with Data- Key Principles for Your Business Success * Varun Jaitly (Cloudera) Delivering Value with Data- Key Principles for Your Business Success Grace Hopper Stage 15:20—15:40 Building a data-driven culture across the enterprise no longer has to add layers of complexity that impact business agility. As the growth and distribution of data continues, businesses must provide employees easy access to the data needed to make the right decisions. In this session we will explore the distribution of data and analytics, wherever the data is sourced, how modern data architectures are helping drive optimised processes, supported by consistent security and compliance across the Hybrid Data Cloud. We believe where data flows, ideas follow. Varun Jaitly Director Product Marketing Cloudera Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 15:40— 16:00 Mastering Roadworthiness of Autonomous Driving * André Rauschert (Fraunhofer Allianz Big Data and AI) Mastering Roadworthiness of Autonomous Driving Grace Hopper Stage 15:40—16:00 André Rauschert Head of Business Strategy and Consulting Fraunhofer Allianz Big Data and AI Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 16:00— 16:20 Build the future! Build Data Products! * Ludwig Ehlert (One Data) Build the future! Build Data Products! Grace Hopper Stage 16:00—16:20 Ludwig Ehlert Director Solution Engineering One Data Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 16:20— 16:40 Harnessing AI in Healthcare * Dr Marion Cornelia Legler (Bayer) Harnessing AI in Healthcare Grace Hopper Stage 16:20—16:40 Dr Marion Cornelia Legler Head of Decision Science & Advanced Analytics Pharma Bayer Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 16:40— 17:00 Alteryx Alteryx Grace Hopper Stage 16:40—17:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 17:00— 17:40 Panel Discussion | Beyond the Hype: Understanding the Real-World Impact of Generative AI * Dr Martina Flatscher (ZF Group) * Ramin Mirza (Aleph Alpha) * Dr Jochen Papenbrock (Nvidia) * Dr-Ing Susan Wegner (Allianz SE) Panel Discussion | Beyond the Hype: Understanding the Real-World Impact of Generative AI Grace Hopper Stage 17:00—17:40 Dr Martina Flatscher AI Strategist ZF Group Ramin Mirza Vice President Aleph Alpha Dr Jochen Papenbrock Head of Financial Technology EMEA Nvidia Dr-Ing Susan Wegner Head of Group Data & AI Allianz SE Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 17:40— 18:00 Scaling Generative AI to All Employees and beyond * Clemens Siebler (Microsoft) Scaling Generative AI to All Employees and beyond Grace Hopper Stage 17:40—18:00 Clemens Siebler Senior Specialist for AI in EMEA Microsoft Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail End of Day 1 End of Day 1 Grace Hopper Stage Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail Start: 10:20 Start: 10:20 Alan Turing Stage Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 10:20— 10:40 Turning Your (Maritime) Data into a Profit with Gaia-X * Sönke Liebau (Stackable) Turning Your (Maritime) Data into a Profit with Gaia-X Alan Turing Stage 10:20—10:40 Sönke Liebau CPO Stackable Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 10:40— 11:00 Opportunities and Risks of LLMs * Dr Raphael Zimmer (Federal Office for Information Security) Opportunities and Risks of LLMs Alan Turing Stage 10:40—11:00 Large Language Models (LLM) can be applied in many use cases and have the potential to drive digitization in Germany. However, the use of the technology also involves risks that should be addressed. The presentation provides an overview of the most important risks from an information security perspective. Dr Raphael Zimmer Head of Section „Artificial Intelligence and Security“ Federal Office for Information Security Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:00— 11:20 Impact Business Outcomes Through Generative AI Orchestration * Babak Hodjat (Cognizant) Impact Business Outcomes Through Generative AI Orchestration Alan Turing Stage 11:00—11:20 Babak Hodjat CTO AI Cognizant Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:20— 11:40 Art in the Age of AI: Decoding Technology, Protecting Artists, and Championing Diversity * Lúí Smyth (Shutterstock) Art in the Age of AI: Decoding Technology, Protecting Artists, and Championing Diversity Alan Turing Stage 11:20—11:40 Lúí Smyth Director of Product, Generative & AI Tooling Shutterstock Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:40— 12:00 Lessons from 5+ Years of Operationalizing Custom Language Models in the Enterprise * Christopher Kränzler (Lengoo GmbH) Lessons from 5+ Years of Operationalizing Custom Language Models in the Enterprise Alan Turing Stage 11:40—12:00 Based on its vast experience in custom training and implementing language models in 50+ enterprises, Lengoo shares in this talk how their learnings in machine translation can be transferred to the new emerging use cases of language models. Christopher Kränzler Co-founder & CEO Lengoo GmbH Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 12:00— 13:00 Lunch Lunch Alan Turing Stage 12:00—13:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:00— 13:20 Your AI Curated News Briefing - Staying Up-to-Date Using Advanced Analytics * Dr Marc Leonhardt (Commerzbank AG - Big Data and Advanced Analytics) Your AI Curated News Briefing - Staying Up-to-Date Using Advanced Analytics Alan Turing Stage 13:00—13:20 Dr Marc Leonhardt Senior Data Scientist Commerzbank AG - Big Data and Advanced Analytics Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:20— 13:40 Blueprinting AI-Services for Big Data Analytics * Benjamin Feldmann (Bakdata) Blueprinting AI-Services for Big Data Analytics Alan Turing Stage 13:20—13:40 Our implementation blueprint guides teams at Allianz through the challenge of bringing AI use cases to production. Our approach is based on an event-driven architecture with small, decoupled services reacting upon event producers, such as data streaming platforms or backend applications. We use Camunda's workflow engine for orchestrating and coordinating services involved in an AI use case.Thus, a dedicated business process, described in BPMN, is triggered and executed by incoming events. A graphical BPMN user interface allows teams of individuals with different skill-sets to work in close collaboration. Our blueprint additionally provides all necessary templates for consuming relevant data available via cross-company data platforms using Open-Source technologies, such as Kubernetes, Apache Kafka and Kafka Connect. All consumed data objects align to company-wide data models and are queryable for downstream processes. For this, the blueprint provides standard components for data persistence, data privacy, or SQL. Moreover, our blueprint follows MLPs principles to support hosting machine learning (ML) models. It is agnostic to different MLOps frameworks, such as model endpoints created with AWS SageMaker. With this, business processes can seamlessly orchestrate REST endpoints. With our data science workbench, we offer flexible environments that meet different software and hardware requirements for training and building ML models. Deployed model endpoints can be monitored with state-of-the-art tools, like Prometheus and Grafana. Finally, extensive and GDPR-compliant logging helps tracking model performance and indicates the right point in time for retraining. Benjamin Feldmann Data Engineer Bakdata Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:40— 14:00 Advanced Analytics in the Application Field of Early Warning Systems * Ralf Hennemann (GBI-Genios Deutsche Wirtschaftsdatenbank) * Dr Anna Schlösser (RSU GmbH & Co. KG) Advanced Analytics in the Application Field of Early Warning Systems Alan Turing Stage 13:40—14:00 Successful risk mitigation requires more than just evaluating financial data. Since abrupt changes in the general environment can only be reflected in ratings with a delay, German Landesbanken also rely on the analysis of press data. In order to recognize credit risks at an early stage and avoid losses, early warning systems like Risk Guard are needed. This application calculates risk scores on a daily basis, forecasts significant changes in creditworthiness and generates warning signals with a lead time of up to one year for companies, banks, entire sectors, countries and regions. In this presentation we want to talk about the resilience and reliability of the developed news based model. Ralf Hennemann Head of Marketing and Sales GBI-Genios Deutsche Wirtschaftsdatenbank Dr Anna Schlösser Risk Methods Senior Expert RSU GmbH & Co. KG Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:00— 14:20 How Generative AI is disrupting Enterprise Software * Dr Sebastian Wieczorek (SAP) How Generative AI is disrupting Enterprise Software Alan Turing Stage 14:00—14:20 Dr Sebastian Wieczorek VP AI Engineering SAP Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:20— 14:40 AI-Enabled Document Processing in the Mittelstand * Florian Geiger (Viessmann IT Service) * Dr Ing Christian Schwöbel (Wattx) AI-Enabled Document Processing in the Mittelstand Alan Turing Stage 14:20—14:40 Companies involved in the construction and manufacturing business have to deal with a lot of paperwork offers on a daily basis. For a manufacturing company, processing these documents takes a lot of time and manual work and requires an experienced workforce that knows the ins and outs of your product portfolio. We set out to automate tedious processes like choosing the right products for a given input text from a document by automatically processing the text and giving AI-assisted suggestions. This makes the work for employees easier by reducing the number of mistakes and making it possible for them to process more offers in less time. As with most data projects in the beginning, there needed to be a data source that could be used for training a machine learning model. That’s why we first developed an easy-to-use tool that could be integrated into the existing workflow and extract our necessary information. This tool can read certain documents and have the users choose the right products from a product database. This tool had the secondary purpose of recording training data for us on the fly consisting of pairs of texts and products. We use this data to improve the model's product suggestions over time. With the current setup, the customer is able to reply to a request by creating an offer for the products and services, which they can provide. Based on offers by multiple companies the customer can decide which company to choose in the end. If you react to offers in a timely manner your chances rise to get the offer and sell your products. In this talk, we will share our experience of creating that AI-assisted product for the case – starting with that there is absolutely no training data. We followed a hybrid approach with a mixture of Natural Language Processing, domain-based heuristics, and continuous improvement of the machine learning model with the growing volume of training data. Florian Geiger Viessmann IT Service Dr Ing Christian Schwöbel Data Scientist Wattx Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:40— 15:00 AI in the Supply Chain at Europe's Largest Retailer * Dr Tim Still (Schwarz IT) AI in the Supply Chain at Europe's Largest Retailer Alan Turing Stage 14:40—15:00 Dr Tim Still Director AI Engineering Schwarz IT Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 15:00— 15:20 Chances (and Risks) of Big Data in the Retail Sector * Anne Böhme (Kyndryl Deutschland GmbH) * Alexander Kurtzahn (EDEKA Rhein-Ruhr Stiftung & Co. KG) * Marcus Lange (Kyndryl) Chances (and Risks) of Big Data in the Retail Sector Alan Turing Stage 15:00—15:20 How can retailers leverage data and AI to boost merchandise sales effectively while minimizing costs? While there are well-known and long-practiced dependencies between seasons and sales in the retail sector, are there any less obvious dependencies to consider? For instance, weather data can be utilized to drive sales in the food retail industry. Are there other data products available that can predict or assess the effectiveness of promotions through analytical methods? What actionable insights can be recommended based on data and AI? Through a new data platform, Edeka RR will enhance their ability to rapidly and efficiently analyze data, providing their retailers and assortment planners with high-quality data to support purchasing and ordering processes. This data platform incorporates not only internal data but also external data. Edeka and Kyndryl will explain their collaborative efforts with IBM in building this data platform. Anne Böhme IT Architect Kyndryl Deutschland GmbH Alexander Kurtzahn IT Director EDEKA Rhein-Ruhr Stiftung & Co. KG Marcus Lange Practice Leader Application, Data & AI Kyndryl Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 15:20— 15:40 Cloudflare Cloudflare Alan Turing Stage 15:20—15:40 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 15:40— 16:00 Palo Alto Networks Palo Alto Networks Alan Turing Stage 15:40—16:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 16:00— 16:20 Crowdstrike * Felix Schwyzer (CrowdStrike) Crowdstrike Alan Turing Stage 16:00—16:20 Felix Schwyzer Sr. Data Scientist CrowdStrike Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 16:20— 16:40 Helsing * Keesiu Wong Helsing Alan Turing Stage 16:20—16:40 Keesiu Wong Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 16:40— 17:00 HR-Tech: How AI for Recruiting Will Have to Change - Disruptions & Best Practice * Linda Flath (messe.rocks / herCAREER) * Rosmarie Steininger (Chemistree) HR-Tech: How AI for Recruiting Will Have to Change - Disruptions & Best Practice Alan Turing Stage 16:40—17:00 In the field of AI for recruiting, two game-changing trends are on the horizon: First, people can more and more choose what jobs they want to work in. And so, the database for recruiting decisions must take peoples' preferences into account, as well as their skills. Such preferences include team fit, areas of development or values and purpose. And second, recruiting is defined as a high risk area in the proposal for the EU AI Act. Most recruiting software solutions will have to comply with a new level of transparency and human oversight in the next few years. Otherwise they will lose their licence to operate. Both trends are addressed in CHEMISTREE’s “good AI for HR” solution: It is based on the latest insights from research projects such as KIDD (AI serving diversity) as well as the German Standardization Roadmap AI. herCAREER uses the CHEMISTREE solution as a customer, with thousands of users (companies and job seekers) and ten thousands of matches. Linda Flath COO messe.rocks / herCAREER Rosmarie Steininger Founder and CEO Chemistree Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 17:00— 17:20 Bringing AI Ethics Principles into Development * Julia Meisner (Gesellschaft für Informatik | German Informatics Society) * Linda Schwarz (German Informatics Society) Bringing AI Ethics Principles into Development Alan Turing Stage 17:00—17:20 From civil society to the EU Commission, a growing number of actors are calling for ethical values to be incorporated into AI development. But what exactly do principles such as "transparency", "security", "fairness" and "environmental friendliness" mean and how can they be put into practice? In the "Roundtable Series on Ethical AI Development" organized by Stiftung Mercator and the Gesellschaft für Informatik e.V., representatives of software-developing companies have been looking for answers. Starting from the identification of central challenges and best practices, the participants develop prototypical and cross-sectoral solutions for the practical implementation of AI ethics principles. This talk introduces the project’s methodological process and the main results. Julia Meisner Policy & Science Officer Gesellschaft für Informatik | German Informatics Society Linda Schwarz Refereee German Informatics Society Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 17:20— 17:40 Startups and AI: Unleashing New Possibilities for Business Growth and Innovation * Tristan Post (Campus Founders | Technische Universität München) Startups and AI: Unleashing New Possibilities for Business Growth and Innovation Alan Turing Stage 17:20—17:40 Tristan Post AI Lead | Lecturer for AI for Innovation and Entrepreneurship Campus Founders | Technische Universität München Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 17:40— 18:00 Engaging Your Customers - Compelling Product Story Telling through Data Driven Generative AI * Jesper Grode (Stibo Systems) Engaging Your Customers - Compelling Product Story Telling through Data Driven Generative AI Alan Turing Stage 17:40—18:00 Your business data across product, customer, supplier, and location can drive compelling product story telling through clever prompt engineering. Leave this session with three take-aways: - Why well governed master data is the key to unlock brand loyalty across markets, categories, and customer segments when used with generative AI - How clever prompt engineering with carefully selected master data can optimize the customer experience online - What steps needs to be taken to ensure privacy of your data when used with generative AI Jesper Grode Director, Product Innovation Stibo Systems Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail End of Day 1 End of Day 1 Alan Turing Stage Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail Start: 13:00 Start: 13:00 Workshop Room Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:00— 13:40 Insights from German Companies on AI Insights from German Companies on AI Workshop Room 13:00—13:40 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:40— 14:00 Break Break Workshop Room 13:40—14:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:00— 14:40 How Technology Can Help Sustainable Businesses Find the Optimal Plan to Net Zero * Steffen Wittenauer (IBM) How Technology Can Help Sustainable Businesses Find the Optimal Plan to Net Zero Workshop Room 14:00—14:40 The road is long and complex: What will a sustainable corporate strategy bring me, and, above all, what will it cost me? How do I break down my goals? IBM helps with proven technology in strategic or operational planning to quantify in real time the outcome of, for example, financial costs and CO2e emissions. A planner can simulate in "what-if" scenarios and ultimately decide which of the scenarios fits best. An optimization engine helps find the optimal path for sustainability versus cost savings. Steffen Wittenauer Executive Consultant & Executive Solution Specialist IBM Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:40— 14:50 Break Break Workshop Room 14:40—14:50 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:50— 15:50 SheTransformsIT Meetup: Women in AI and Quantum * Maria Börner (Westernacher Solutions) SheTransformsIT Meetup: Women in AI and Quantum Workshop Room 14:50—15:50 Maria Börner Product Owner Westernacher Solutions Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 15:50— 16:00 Break Break Workshop Room 15:50—16:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 16:00— 16:45 Big Picture Workshop * Imke Bewersdorf (Big Picture) * Leonid Sokolov (Big Picture) * Maximilian Vogel (Big Picture) Big Picture Workshop Workshop Room 16:00—16:45 Imke Bewersdorf Product Owner and UX Consultant Big Picture Leonid Sokolov Senior Voice Interface Engineer Big Picture Maximilian Vogel Co-Founder Big Picture Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 16:45— 17:00 Break Break Workshop Room 16:45—17:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 17:00— 18:00 Get Started Deeptech Network @ QBAS Get Started Deeptech Network @ QBAS Workshop Room 17:00—18:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail End of Day 1 End of Day 1 Workshop Room Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 10:00—10:10 Opening * Dr Marianne Janik (Member of the Executive Board, Bitkom) Grace Hopper Stage Start: 10:20 Alan Turing Stage Start: 13:00 Workshop Room 10:10—10:20 From AI to Quantum Computing: Building Ecosystems, Empowering Innovation, Strengthening Sovereignty * Mario Brandenburg (Federal Ministry of Education and Research) Grace Hopper Stage 10:20—10:40 The Last Bottleneck: Is Artificial Intelligence on the Way to its Own Innovation? * Jonas Andrulis (Aleph Alpha) * Edmondo Orlotti (Hewlett Packard Enterprise) Grace Hopper Stage 10:20—10:40 Turning Your (Maritime) Data into a Profit with Gaia-X * Sönke Liebau (Stackable) Alan Turing Stage 10:40—11:00 Foundation Models, Generative AI, and Classic Bots: Where Is the Best Trade-Off? Use Cases, Possibilities for Integration and the Example of "Customer Service” * Dr Wolfgang Hildesheim (IBM Technology DACH) Grace Hopper Stage 10:40—11:00 Opportunities and Risks of LLMs * Dr Raphael Zimmer (Federal Office for Information Security) Alan Turing Stage 11:00—11:20 Setting Your Generative AI Appetite: Evaluating Risks and Opportunities * Katharine Jarmul (Thoughtworks) Grace Hopper Stage 11:00—11:20 Impact Business Outcomes Through Generative AI Orchestration * Babak Hodjat (Cognizant) Alan Turing Stage 11:20—11:40 How Product Thinking Helps to Unlock the Value of Data * Christin Schink (HelloFresh) Grace Hopper Stage 11:20—11:40 Art in the Age of AI: Decoding Technology, Protecting Artists, and Championing Diversity * Lúí Smyth (Shutterstock) Alan Turing Stage 11:40—12:00 Fujitsu Grace Hopper Stage 11:40—12:00 Lessons from 5+ Years of Operationalizing Custom Language Models in the Enterprise * Christopher Kränzler (Lengoo GmbH) Alan Turing Stage 12:00—13:00 Lunch Grace Hopper Stage 12:00—13:00 Lunch Alan Turing Stage 13:00—13:40 Policy Discussion | AI Act & AI Policy * Evelyn Graß (Federal Ministry of Economics and Climate Protection) * Jens Redmer (Google) * Julia Sterling (Commerzbank) * Kai Zenner (European Parliament (MEP Voss)) Grace Hopper Stage 13:00—13:20 Your AI Curated News Briefing - Staying Up-to-Date Using Advanced Analytics * Dr Marc Leonhardt (Commerzbank AG - Big Data and Advanced Analytics) Alan Turing Stage 13:00—13:40 Insights from German Companies on AI Workshop Room 13:20—13:40 Blueprinting AI-Services for Big Data Analytics * Benjamin Feldmann (Bakdata) Alan Turing Stage 13:40—14:20 Panel discussion | The Deep Tech Dilemma: Is Germany Poised for Success or Stuck in Innovation Quicksand * Dr Anna Christmann (Federal Ministry for Economic Affairs and Climate Action) * Nico Kelling (Infineon Technologies) * Dr Frederick Struckmeier (Trumpf SE + Co. KG) Grace Hopper Stage 13:40—14:00 Advanced Analytics in the Application Field of Early Warning Systems * Ralf Hennemann (GBI-Genios Deutsche Wirtschaftsdatenbank) * Dr Anna Schlösser (RSU GmbH & Co. KG) Alan Turing Stage 13:40—14:00 Break Workshop Room 14:00—14:20 How Generative AI is disrupting Enterprise Software * Dr Sebastian Wieczorek (SAP) Alan Turing Stage 14:00—14:40 How Technology Can Help Sustainable Businesses Find the Optimal Plan to Net Zero * Steffen Wittenauer (IBM) Workshop Room 14:20—14:40 Data Literacy – Cultivating Essential Skills for Tomorrow * Dr Christian Zinke-Wehlmann (Competence Center Artificial Human Intelligent (KMI) at the Institute for Applied Computer Science at the University of Leipzig) Grace Hopper Stage 14:20—14:40 AI-Enabled Document Processing in the Mittelstand * Florian Geiger (Viessmann IT Service) * Dr Ing Christian Schwöbel (Wattx) Alan Turing Stage 14:40—15:20 Panel discussion | Chief Data Scientists in the German Government: Challenges and Choices * Dr Franziska Brecht (Federal Ministry for Economics and Climate Action) * Dr Nicola Jentzsch (Federal Ministry of Education and Research) * Hans-Christian Mangelsdorf (Federal Foreign Office) Grace Hopper Stage 14:40—15:00 AI in the Supply Chain at Europe's Largest Retailer * Dr Tim Still (Schwarz IT) Alan Turing Stage 14:40—14:50 Break Workshop Room 14:50—15:50 SheTransformsIT Meetup: Women in AI and Quantum * Maria Börner (Westernacher Solutions) Workshop Room 15:00—15:20 Chances (and Risks) of Big Data in the Retail Sector * Anne Böhme (Kyndryl Deutschland GmbH) * Alexander Kurtzahn (EDEKA Rhein-Ruhr Stiftung & Co. KG) * Marcus Lange (Kyndryl) Alan Turing Stage 15:20—15:40 Delivering Value with Data- Key Principles for Your Business Success * Varun Jaitly (Cloudera) Grace Hopper Stage 15:20—15:40 Cloudflare Alan Turing Stage 15:40—16:00 Mastering Roadworthiness of Autonomous Driving * André Rauschert (Fraunhofer Allianz Big Data and AI) Grace Hopper Stage 15:40—16:00 Palo Alto Networks Alan Turing Stage 15:50—16:00 Break Workshop Room 16:00—16:20 Build the future! Build Data Products! * Ludwig Ehlert (One Data) Grace Hopper Stage 16:00—16:20 Crowdstrike * Felix Schwyzer (CrowdStrike) Alan Turing Stage 16:00—16:45 Big Picture Workshop * Imke Bewersdorf (Big Picture) * Leonid Sokolov (Big Picture) * Maximilian Vogel (Big Picture) Workshop Room 16:20—16:40 Harnessing AI in Healthcare * Dr Marion Cornelia Legler (Bayer) Grace Hopper Stage 16:20—16:40 Helsing * Keesiu Wong Alan Turing Stage 16:40—17:00 Alteryx Grace Hopper Stage 16:40—17:00 HR-Tech: How AI for Recruiting Will Have to Change - Disruptions & Best Practice * Linda Flath (messe.rocks / herCAREER) * Rosmarie Steininger (Chemistree) Alan Turing Stage 16:45—17:00 Break Workshop Room 17:00—17:40 Panel Discussion | Beyond the Hype: Understanding the Real-World Impact of Generative AI * Dr Martina Flatscher (ZF Group) * Ramin Mirza (Aleph Alpha) * Dr Jochen Papenbrock (Nvidia) * Dr-Ing Susan Wegner (Allianz SE) Grace Hopper Stage 17:00—17:20 Bringing AI Ethics Principles into Development * Julia Meisner (Gesellschaft für Informatik | German Informatics Society) * Linda Schwarz (German Informatics Society) Alan Turing Stage 17:00—18:00 Get Started Deeptech Network @ QBAS Workshop Room 17:20—17:40 Startups and AI: Unleashing New Possibilities for Business Growth and Innovation * Tristan Post (Campus Founders | Technische Universität München) Alan Turing Stage 17:40—18:00 Scaling Generative AI to All Employees and beyond * Clemens Siebler (Microsoft) Grace Hopper Stage 17:40—18:00 Engaging Your Customers - Compelling Product Story Telling through Data Driven Generative AI * Jesper Grode (Stibo Systems) Alan Turing Stage End of Day 1 Grace Hopper Stage End of Day 1 Alan Turing Stage End of Day 1 Workshop Room Data Community Networking powered by HP From 6 till 8 pm 21 SEPTEMBER 2023 Grace Hopper Stage Alan Turing Stage Workshop Room 10:00— 10:05 Opening * Dr Ralf Wintergerst (President, Bitkom) Opening Grace Hopper Stage 10:00—10:05 Dr Ralf Wintergerst Chairman of the Management Board, Giesecke+Devrient (G+D) President, Bitkom Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 10:05— 10:20 Keynote * Dr Marco Buschmann (Federal Minister of Justice) Keynote Grace Hopper Stage 10:05—10:20 Dr Marco Buschmann Federal Minister of Justice Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 10:20— 10:40 Artificial Intelligence – Duel or Duet of Human and Machine? * Thomas Saueressig (SAP Product Engineering) Artificial Intelligence – Duel or Duet of Human and Machine? Grace Hopper Stage 10:20—10:40 Thomas Saueressig Member of the Executive Board of SAP SE SAP Product Engineering Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 10:40— 11:00 Presentation | Useful AI: Potential and Development of AI Methods * Prof Dr Antonio Krüger (CEO German Research Center for AI & Head of the Department “Cognitive Assistants”) Presentation | Useful AI: Potential and Development of AI Methods Grace Hopper Stage 10:40—11:00 Prof Dr Antonio Krüger Professor of Computer Science, Saarland University CEO German Research Center for AI & Head of the Department “Cognitive Assistants” Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:00— 11:20 Racial Bias in Face Technologies - How to Account for Biased Face Recognition * Agostino Calamia (Shopify) Racial Bias in Face Technologies - How to Account for Biased Face Recognition Grace Hopper Stage 11:00—11:20 Agostino Calamia Sr. Data Scientist Shopify Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:20— 11:40 MicroStream MicroStream Grace Hopper Stage 11:20—11:40 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:40— 12:00 TBA TBA Grace Hopper Stage 11:40—12:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 12:00— 13:00 Lunch Lunch Grace Hopper Stage 12:00—13:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:00— 13:20 AI Sandboxes AI Sandboxes Grace Hopper Stage 13:00—13:20 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:20— 14:20 AI-Champions of the Future: Startup-Pitches Presented by Get Started * Daniel Angloher (Caire) * Dr Michael Spira (DQC) * Laura Werle (Snackz.ai) AI-Champions of the Future: Startup-Pitches Presented by Get Started Grace Hopper Stage 13:20—14:20 Daniel Angloher Co-founder & CEO Caire Dr Michael Spira DQC Laura Werle Founder Snackz.ai Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:20— 14:40 Isico Isico Grace Hopper Stage 14:20—14:40 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:40— 15:00 Data Science & Digital Health in the Drug Development Life Cycle * Isabell Twick (The Janssen Pharmaceutical Companies of Johnson & Johnson) Data Science & Digital Health in the Drug Development Life Cycle Grace Hopper Stage 14:40—15:00 Isabell Twick Principal Data Scientist The Janssen Pharmaceutical Companies of Johnson & Johnson Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 15:00— 15:20 Learning How Network Structure Shapes Decision-Making for Bio-Inspired Computing * Dr Michael Schirner (Charité - Berlin University Hospital) Learning How Network Structure Shapes Decision-Making for Bio-Inspired Computing Grace Hopper Stage 15:00—15:20 To better understand how network structure shapes intelligent behavior, we developed a learning algorithm to create personalized brain network models for 650 participants in the Human Connectome Project. We found that participants with higher intelligence scores took more time to solve difficult problems and that slower solvers had higher average functional connectivity. Using simulations, we identified a mechanistic relationship between functional connectivity, intelligence, processing speed, and brain synchrony for trading accuracy with speed as a function of arousal-inhibition balance. Reduced synchrony caused decision circuits to quickly jump to conclusions, while higher synchrony allowed for better integration of evidence and more robust working memory. Rigorous testing was performed to ensure the reproducibility and generality of the results obtained. Here, we identify correlations between brain structure and function that allow learning of connectome topology from noninvasive derivations and map it to interindividual differences in behavior, suggesting broad utility for research and clinical applications. Dr Michael Schirner Senior scientist Charité - Berlin University Hospital Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 15:20— 15:40 Deep Learning but Shallow Understanding * Prof Hector Geffner (RWTH Aachen University) Deep Learning but Shallow Understanding Grace Hopper Stage 15:20—15:40 Prof Hector Geffner Alexander von Humboldt Professor in AI RWTH Aachen University Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 15:40— 16:00 Human Value, National Security, and AI Ethics * Prof Dr Joanna J. Bryson (Hertie School) Human Value, National Security, and AI Ethics Grace Hopper Stage 15:40—16:00 Prof Dr Joanna J. Bryson Professor of Ethics and Technology Hertie School Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail End of Day 2 End of Day 2 Grace Hopper Stage Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail Start: 10:20 Start: 10:20 Alan Turing Stage Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 10:20— 10:40 Lanxess Way to Data Driven Decisions Using Microsoft Technology * Dr Martin Baier (Lanxess) * Laura Rolfsen (Microsoft Deutschland) Lanxess Way to Data Driven Decisions Using Microsoft Technology Alan Turing Stage 10:20—10:40 The chemical industry faces major challenges throughout its value chain. In order to be able to make good decisions, the analysis of all available data has become a basic requirement. LANXESS has developed a system based on Microsoft and Open Source technology that makes it possible to flexibly analyze data of different systems, formats and sizes and ultimately make it available to decision-makers in graphic form. In addition to a sophisticated security system, the development focus was on modular analyzes and tools in the area of data governance. We present the key concepts of the system and the background of the development. Dr Martin Baier Senior Data Scientist Lanxess Laura Rolfsen Account Executive Microsoft Deutschland Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 10:40— 11:00 Design of Experiments * Dr Gunar Ernis (Fraunhofer IAIS ) Design of Experiments Alan Turing Stage 10:40—11:00 Dr Gunar Ernis Head of the Industrial Analytics Business Unit Fraunhofer IAIS Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:00— 11:20 Baywa's Data Enablement Journey to Become a Data-Driven Organization * Peter Redeker (BayWa r.e. renewable energy AG) * Bea Schnarr (BayWa r.e. renewable energy AG) * Tobias Wätzig (Deloitte Consulting) Baywa's Data Enablement Journey to Become a Data-Driven Organization Alan Turing Stage 11:00—11:20 Utilizing data assets becomes crucial to enterprises future business growth and efficiency gains, which leads to the necessity of a mature data management. Regulatory requirements such as the Supply Chain Act enforce the urgent demand to foster high quality data products across the entire value chain within the global organization. BayWa r.e. identified potentials to optimize their processes and hence realize cost efficiency effects. Therefore, a green field approach has been initiated to start the Data Enablement Platform journey. Enabled by a central data platform based on Informatica Intelligent Data Management Cloud (IDMC) integrated with MS Azure as cloud hyperscaler, a use case driven approach has been chosen to scale the platform continuously. Beside all technological capabilities to foster mature data management, the transformation is accompanied by a cultural change, which is equally important to attract and retain an empowered business team to gain a competitive advantage based on data & analytics. Demonstrating value-creating effects at an early stage, the first lighthouse project focuses on supplier master data and is accompanied by further use cases to quickly define governance related processes in parallel. Bringing both together, agile delivery of high valuable use cases to the organization and building the right foundation to scale, a two-fold approach is pursued, and a diverse team brought to live: The Center of Excellence (CoE) consisting of various talents and service capabilities, lay the foundation to induce the cultural and technological change throughout the organization. Peter Redeker Head of Analytics, Data & Data Integration Solutions BayWa r.e. renewable energy AG Bea Schnarr Director of Digital Projects BayWa r.e. renewable energy AG Tobias Wätzig Senior Manager Artificial Intelligence & Data Deloitte Consulting Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:20— 11:40 TBA TBA Alan Turing Stage 11:20—11:40 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:40— 12:00 What if Tires & Roads Could Talk? What Stories Would They Tell? * Tobias Grocholl (Bosch Global Software Technologies) What if Tires & Roads Could Talk? What Stories Would They Tell? Alan Turing Stage 11:40—12:00 Tobias Grocholl Innovation Head Bosch Global Software Technologies Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 12:00— 13:00 Lunch Lunch Alan Turing Stage 12:00—13:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:00— 13:20 TBA TBA Alan Turing Stage 13:00—13:20 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:20— 13:40 Deutsche Telekom * Alexander Sobania Deutsche Telekom Alan Turing Stage 13:20—13:40 Alexander Sobania Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:40— 14:00 Operationalised AI for Successful Business Resilience * Philipp Drieger (Splunk) * Philipp Drieger, Splunk Operationalised AI for Successful Business Resilience Alan Turing Stage 13:40—14:00 Predictive Analytics, Machine Learning or Deep Learning are the backbones of modern AI systems. In this talk we will focus on real worlds examples of successful implementations of AI in industrial domains like automotive and industrial operations. In automotive we share how a predictive quality system allows BMW Group to optimize their production. For industrial operations we present how Zeppelin built their predictive maintenance system to prevent outages in power generation. In both examples we also highlight the key technical AI components that accelerated their implementations and enabled them move to production workloads quickly. Philipp Drieger Global Principal Machine Learning Architect Splunk Moderation Philipp Drieger Global Principal Machine Learning Architect Splunk Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:00— 14:20 TBA TBA Alan Turing Stage 14:00—14:20 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:20— 14:40 DB Cargo: Our Journey Towards a Data Driven Company * Arlene Bühler (DB Cargo) DB Cargo: Our Journey Towards a Data Driven Company Alan Turing Stage 14:20—14:40 Arlene Bühler CIO/CDO DB Cargo Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:40— 15:00 Towards AI-Native Mobile Networks - from 5G-Advanced to 6G and beyond * Andreas Mäder (Nokia) Towards AI-Native Mobile Networks - from 5G-Advanced to 6G and beyond Alan Turing Stage 14:40—15:00 The rise of AI/ML in mobile communications will have profound impact on the telco industry. In future generations of mobile networks, AI/ML will enhance or replace components of devices (e.g., smart phone) both in hardware and software. Depending on the solution, this requires standardized AI/ML enablers to ensure that fundamental building blocks like data collection, ML model (re-)training and deployment are working in an inter-operable manner between different components, including between the radio network and devices (handsets). This talk outlines this transitional journey towards AI-native mobile networks, starting with 5G-Advanced towards 6G and beyond. Andreas Mäder Head of AI/ML, Nokia Standards Nokia Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 15:00— 15:20 Successful Implementation and Scaling of AI Projects at Deutsche Bahn: A Case Study on Reinforcement Learning-based Train Dispatching Application and Scalability * Torsten Deutsch (Deutsche Bahn) * Hannes Lorkowski (Deutsche Bahn) Successful Implementation and Scaling of AI Projects at Deutsche Bahn: A Case Study on Reinforcement Learning-based Train Dispatching Application and Scalability Alan Turing Stage 15:00—15:20 This abstract discusses the successful implementation of AI projects at Deutsche Bahn that have moved beyond proof-of-concept and are delivering real value. The AI products, developed by the AI Factory, address key business objectives in line with top management requirements. The development of these products follows four maturity phases to convert findings from feasibility to a stable and standardized AI product. The presentation focuses on the specific use case of a reinforcement learning-based AI application to support train dispatchers. It covers the initial steps taken during proof-of-concept, as well as the scaling of the application to multiple control centers and expansion to mixed traffic. This example illustrates the approach to scaling AI projects, demonstrating the successful implementation of AI products at Deutsche Bahn and can be used as a blueprint for successful AI projects. Torsten Deutsch AI Development Manager Deutsche Bahn Hannes Lorkowski AI Specialist Deutsche Bahn Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 15:20— 15:40 Optimizing the Customer Journey with (Causal) AI * Prof. Dr. Martin Spindler (Universität Hamburg | Economic AI) Optimizing the Customer Journey with (Causal) AI Alan Turing Stage 15:20—15:40 While machine learning and AI is mostly applied for prediction problems, which are correlation based, many interesting problems in business are so-called causal problems. Examples are dynamic pricing, resource allocation, targeted marketing and many more. The emerging field of causal machine learning combines causal inference methods with modern machine learning / AI. A/B-Testing is widely used to study the effect of intervention in marketing. Now, the use of ML allows to derive personalized marketing strategies. In this project in collaboration with a car manufacturer we show how causal AI can be used to optimize the user experience of web pages and to develop personalized offers. Additionally, we highlight the potential of A/B tests powered by machine learning and AI to improve business processes. Prof. Dr. Martin Spindler Professor | Director Universität Hamburg | Economic AI Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail End of Day 2 End of Day 2 Alan Turing Stage Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail Start: 11:30 Start: 11:30 Workshop Room Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 11:15— 12:00 MicroStream MicroStream Workshop Room 11:15—12:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 12:00— 13:00 TBA TBA Workshop Room 12:00—13:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:00— 13:50 Get Inspired by the Latest Research in AI: Science Pitches Presented by AI Grid Get Inspired by the Latest Research in AI: Science Pitches Presented by AI Grid Workshop Room 13:00—13:50 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 13:50— 14:00 Break Break Workshop Room 13:50—14:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:00— 14:40 MLOPs - Guidance for Beginners * Morten Hesebeck-Brinckmann (Senacor Technologies) * Daniel Matejcek (Senacor Technologies) MLOPs - Guidance for Beginners Workshop Room 14:00—14:40 Morten Hesebeck-Brinckmann Senior Consultant Senacor Technologies Daniel Matejcek Senacor Technologies Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 14:40— 15:00 Break Break Workshop Room 14:40—15:00 Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 15:00— 15:40 Mastering Data Transformation: The Chief Data Officer’s Guide * Simon Brügel (PTC) * Arian van Hülsen (PTC) Mastering Data Transformation: The Chief Data Officer’s Guide Workshop Room 15:00—15:40 Embrace the role of a Chief Data Officer (CDO) in our enlightening workshop and learn the nuances of leading a data transformation journey. Discover the power of effective data strategy and frameworks that bridge the gap between raw data and everyday business processes. This workshop provides a succinct introduction to data management and driving a business with data. Simon Brügel Solutions Consultant – IoT & AR PTC Arian van Hülsen Director Solutions Consulting – IIoT / Analytics Central Europe PTC Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail End of Day 2 End of Day 2 Workshop Room Share share on twittershare on facebookshare on xingshare on linkedin share on mastodon X share on mastodon please enter your mastodon instance share via e-mail 10:00—10:05 Opening * Dr Ralf Wintergerst (President, Bitkom) Grace Hopper Stage Start: 10:20 Alan Turing Stage Start: 11:30 Workshop Room 10:05—10:20 Keynote * Dr Marco Buschmann (Federal Minister of Justice) Grace Hopper Stage 10:20—10:40 Artificial Intelligence – Duel or Duet of Human and Machine? * Thomas Saueressig (SAP Product Engineering) Grace Hopper Stage 10:20—10:40 Lanxess Way to Data Driven Decisions Using Microsoft Technology * Dr Martin Baier (Lanxess) * Laura Rolfsen (Microsoft Deutschland) Alan Turing Stage 10:40—11:00 Presentation | Useful AI: Potential and Development of AI Methods * Prof Dr Antonio Krüger (CEO German Research Center for AI & Head of the Department “Cognitive Assistants”) Grace Hopper Stage 10:40—11:00 Design of Experiments * Dr Gunar Ernis (Fraunhofer IAIS ) Alan Turing Stage 11:00—11:20 Racial Bias in Face Technologies - How to Account for Biased Face Recognition * Agostino Calamia (Shopify) Grace Hopper Stage 11:00—11:20 Baywa's Data Enablement Journey to Become a Data-Driven Organization * Peter Redeker (BayWa r.e. renewable energy AG) * Bea Schnarr (BayWa r.e. renewable energy AG) * Tobias Wätzig (Deloitte Consulting) Alan Turing Stage 11:15—12:00 MicroStream Workshop Room 11:20—11:40 MicroStream Grace Hopper Stage 11:20—11:40 TBA Alan Turing Stage 11:40—12:00 TBA Grace Hopper Stage 11:40—12:00 What if Tires & Roads Could Talk? What Stories Would They Tell? * Tobias Grocholl (Bosch Global Software Technologies) Alan Turing Stage 12:00—13:00 Lunch Grace Hopper Stage 12:00—13:00 Lunch Alan Turing Stage 12:00—13:00 TBA Workshop Room 13:00—13:20 AI Sandboxes Grace Hopper Stage 13:00—13:20 TBA Alan Turing Stage 13:00—13:50 Get Inspired by the Latest Research in AI: Science Pitches Presented by AI Grid Workshop Room 13:20—14:20 AI-Champions of the Future: Startup-Pitches Presented by Get Started * Daniel Angloher (Caire) * Dr Michael Spira (DQC) * Laura Werle (Snackz.ai) Grace Hopper Stage 13:20—13:40 Deutsche Telekom * Alexander Sobania Alan Turing Stage 13:40—14:00 Operationalised AI for Successful Business Resilience * Philipp Drieger (Splunk) Moderation: * Philipp Drieger, Splunk Alan Turing Stage 13:50—14:00 Break Workshop Room 14:00—14:20 TBA Alan Turing Stage 14:00—14:40 MLOPs - Guidance for Beginners * Morten Hesebeck-Brinckmann (Senacor Technologies) * Daniel Matejcek (Senacor Technologies) Workshop Room 14:20—14:40 Isico Grace Hopper Stage 14:20—14:40 DB Cargo: Our Journey Towards a Data Driven Company * Arlene Bühler (DB Cargo) Alan Turing Stage 14:40—15:00 Data Science & Digital Health in the Drug Development Life Cycle * Isabell Twick (The Janssen Pharmaceutical Companies of Johnson & Johnson) Grace Hopper Stage 14:40—15:00 Towards AI-Native Mobile Networks - from 5G-Advanced to 6G and beyond * Andreas Mäder (Nokia) Alan Turing Stage 14:40—15:00 Break Workshop Room 15:00—15:20 Learning How Network Structure Shapes Decision-Making for Bio-Inspired Computing * Dr Michael Schirner (Charité - Berlin University Hospital) Grace Hopper Stage 15:00—15:20 Successful Implementation and Scaling of AI Projects at Deutsche Bahn: A Case Study on Reinforcement Learning-based Train Dispatching Application and Scalability * Torsten Deutsch (Deutsche Bahn) * Hannes Lorkowski (Deutsche Bahn) Alan Turing Stage 15:00—15:40 Mastering Data Transformation: The Chief Data Officer’s Guide * Simon Brügel (PTC) * Arian van Hülsen (PTC) Workshop Room 15:20—15:40 Deep Learning but Shallow Understanding * Prof Hector Geffner (RWTH Aachen University) Grace Hopper Stage 15:20—15:40 Optimizing the Customer Journey with (Causal) AI * Prof. Dr. Martin Spindler (Universität Hamburg | Economic AI) Alan Turing Stage 15:40—16:00 Human Value, National Security, and AI Ethics * Prof Dr Joanna J. Bryson (Hertie School) Grace Hopper Stage End of Day 2 Grace Hopper Stage End of Day 2 Alan Turing Stage End of Day 2 Workshop Room PREMIUM PARTNER Smart Country Convention | Digital Energy Conference | Digital Mobility Conference | Digital Health Conference | Work & Culture | Bildungskonferenz | Digital Finance Conference | Digital Farming Conference | eIDAS Summit | Digital Office Conference | hub.berlin | Big-Data.AI Summit | Quantum Summit | Privacy Conference linkedin youtube facebook Contact HAUPTNAVIGATION * Imprint * Privacy * GTC © 2023 Bitkom Servicegesellschaft mbH BENUTZERMENÜ * Tickets * Speakers * Programme * Become a partner * Plan your trip * News * Contact BENUTZERMENÜ * Tickets * Speakers * Programme * Become a partner * Plan your trip * News * Contact HAUPTNAVIGATION * Imprint * Privacy * GTC