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Christian works as Partner Solutions Architect at AWS where he helps consulting partners to develop the next generation of their AWS offerings. He has experience in batch processing, web development as well as managed services and is passionate about Machine Learning.
Pia is founder and managing director of agrantis GmbH. After working for BAT, Microsoft and her own family business, she founded AgTech start-up agrantis to digitize agriculture along the value chain through data and technology. When she is not working, you can usually find Pia in the mountains or in nature.
In the Provocative Debate Forum, we invite our audience to put forward bold and possibly provocative theses for discussion in order to challenge our speakers on stage. The speakers are given 100 seconds to respond to each thesis. This promises to be an exciting and intensive discussion of important topics and will certainly lead to interesting insights. Participants: Andreas Wiener, Managing Director of BI or DIE, Pia Wolf, Founder & Managing Director of agrantis, Simon Faatz-Riccò, Team Lead Data Engineering at RND, Friedrich Staufenbiel, Managing Director & Head of Tech at Berlin Bytes, and Sebastian Amtage, Founder & Managing Director of b.telligent.
Rock star without airs and graces, entrepreneur, sought-after speaker trainer and internationally successful keynote speaker. Her talent for inspiring people has seen her work with world stars such as Michael Jackson, Joe Cocker, Shaggy and Helene Fischer as well as a number of big names from politics and business. After over 3000 performances worldwide, several chart successes and TV appearances, she is passionate about sharing her secrets of success with others.
Based on her extensive experience, Annabell Whitney provides exclusive insights into the rock star life and the secrets of their success. She draws surprising parallels between the two worlds and inspires participants to ignite their own rock star DNA in a captivating and musical way. This keynote releases unimagined energy to spark motivation and enthusiasm - for personal success.
After studying mathematics, Christian Jung joined the database marketing department of a mail order company. He subsequently worked for various retailers and management consultancies in the fields of direct and database marketing, project management and process optimization. For the past 10 years, he has also been actively involved in these tasks at Baur Versand as Head of Customer Analysis and Project Manager.
The constantly growing number of multichannel marketing campaigns increases the complexity of cross-departmental collaboration for planning and implementing measures. In the past, Excel-based, decentralized planning led to a great deal of manual effort and inconsistencies. The introduction of a cloud-based marketing resource management (MRM) solution creates a single point of truth. Thanks to the integrated workflows, the parties involved can work together much more efficiently.
Friedrich Staufenbiel is Co-Founder and Head of Tech at Berlin Bytes GmbH. He is responsible for the development of web and mobile solutions for clients in various industries. His particular focus is on building and promoting autonomous, integrated development teams with expertise in product, UX/UI, software engineering and data.
In the Provocative Debate Forum, we invite our audience to put forward bold and possibly provocative theses for discussion in order to challenge our speakers on stage. The speakers are given 100 seconds to respond to each thesis. This promises to be an exciting and intensive discussion of important topics and will certainly lead to interesting insights. Participants: Andreas Wiener, Managing Director of BI or DIE, Pia Wolf, Founder & Managing Director of agrantis, Simon Faatz-Riccò, Team Lead Data Engineering at RND, Friedrich Staufenbiel, Managing Director & Head of Tech at Berlin Bytes, and Sebastian Amtage, Founder & Managing Director of b.telligent.
Andreas Wiener is a collector of Pokémon cards and Jordan IV Retro sneakers, as well as a social media influencer. He lives in Hamburg by the Alster with his wife and daughter, enjoys watching basketball, and passionately listens to Whitney Houston. Additionally, he is a keynote speaker, author, and CEO of BI or DIE. Andreas specializes in the topics of self-service, dashboarding, and modern employee training.
In the Provocative Debate Forum, we invite our audience to put forward bold and possibly provocative theses for discussion in order to challenge our speakers on stage. The speakers are given 100 seconds to respond to each thesis. This promises to be an exciting and intensive discussion of important topics and will certainly lead to interesting insights. Participants: Andreas Wiener, Managing Director of BI or DIE, Pia Wolf, Founder & Managing Director of agrantis, Simon Faatz-Riccò, Team Lead Data Engineering at RND, Friedrich Staufenbiel, Managing Director & Head of Tech at Berlin Bytes, and Sebastian Amtage, Founder & Managing Director of b.telligent.
Manuel is a recognized technology strategist with over 15 years of experience in developing customer-centric delivery models in various industries, including serving as program director for several major CX software implementations. With his pragmatic approach and entrepreneurial spirit, he has extensive international experience in the USA, UK, EU, and APAC. Manuel holds a Bachelor's degree in Economics (Eisenstadt, Austria) and is a certified IT specialist in Switzerland. At Bloomreach, Manuel is responsible for strategically advising clients on their digital and commerce experience transformation.
Artificial Intelligence (AI) is currently a central topic and is revolutionizing industries with a dynamic reminiscent of the rapid rise of the internet. Algorithms such as regressions, collaborative filtering, or factorization have been used for years to generate recommendations. But what possibilities do the latest generative technologies open up, and how can we further harness their potentials? In this presentation, you will be introduced to effective use cases showcasing the innovative capabilities of Bloomreach AI "Loomi" and gain insight into how these new technologies are transforming into inspiring opportunities.
As founder and managing director of b.telligent, Klaus Blaschek has been advising customers on the topics of BI, data warehouse and customer intelligence for over 20 years. His project experience includes challenging international projects and the complete value creation process. As a Swiss by choice, he not only has the telecommunications and financial services industry firmly in focus, but also the Swiss mountains.
Michael is a mathematician by training and a machine learning expert by experience and passion. As a consultant at b.telligent, he has been conducting machine learning projects for more than ten years in telecommuncations, digital commerce, utilities, and various other industries. Michael likes to drive the practical application of innovative methods for tabular data, and has a strong focus on the business benefits of machine learning.
Make Data and AI a team sport! Bring AI to all your data (structured and unstructured) with a simple approach. Understand how to activate GenAI powered data insights. Learn what features on Google’s Data Cloud help you to set up a mature Data and AI ecosystem.
Sebastian Amtage is the founder and managing partner of b.telligent. He has been at home in the fields of customer relationship management, data management and data science for over 20 years and supports customers along the entire value chain. For Sebastian, only one thing counts: the data!
Klaus-Dieter-Schulze can look back on almost 30 years of experience as a management consultant in the fields of business intelligence, data strategy and data governance. He is also a co-founder and board member of TDWI e.V., the largest German-speaking business intelligence community. More BI is almost impossible!
Martin Kraus heads the "CDO Office" at Commerzbank, where he supports the Group Chief Data Officer in expanding data governance and data quality management for the bank. Prior to this, he was responsible for the Risk, Finance and Compliance application landscape as well as overarching data architecture issues in the bank's architecture function. After studying physics and completing his doctorate, he began his career in IT at Dresdner Bank and Commerzbank in various project and management positions in the areas of investment banking, risk and finance.
Metadata as "data about data" is intended to help find, understand, and trust data. However, the topic is often approached purely technically, neglecting the substantive significance of the data. We discuss what is needed for a human user to gain insight and understanding for working with data from metadata, and the implications this has at Commerzbank for the establishment of a Data Governance Program and the use of tools.
Murat Yurt is Head of Business Intelligence & Digital Analytics at DFL Digital Sports, where he is responsible for the development and implementation of strategies in the area of business intelligence and digital analytics. His tasks include analyzing data from digital platforms and channels, identifying trends and supporting decision-making based on data. He began his career in strategy consulting at Kearney, where he gained valuable experience in the field of corporate strategy. He then moved to IT consulting, where he worked as Lead Consultant for Advanced Analytics. MuratYurt holds a Master's degree in Information Science & Language Technology from Heinrich Heine University Düsseldorf.
Football stands as a cherished global phenomenon, and the Bundesliga is dedicated to continually uplifting fan engagement to unprecedented levels. Our ambition is to “BECOME THE MOST FAN-CENTRIC LEAGUE IN THE WORLD”. Through harnessing cutting-edge technologies and pioneering strategies, we are empowered to deliver personalized content and immersive experiences for all.
Dr. Sönke Iwersen has been responsible for data & analytics organizations in various industries (including Telefónica, Handelsblatt, XING, Fitness First and HRS) for more than 15 years. His emphasis is on development of digitization and data strategies, as well as their operationalization with cloud-based analytical platforms and ML/AI solutions. He regularly presents his innovative results at national and international conferences.
Nowadays, “AI” is a buzzword for everyone (including Senior Management). Many Data & Analytics teams are exploring how to leverage the new potentials of Generative AI for their work processes. The speech explains the common dangers of Gen AI, the impact due to regulations frameworks and will concentrate on how DKV Mobility is creating their AI framework to prioritize on business value.
When not talking about Data & AI, Felix is a proud father and explores playgrounds and skate parks in the city. He spent the last couple of years advancing data-driven and digital transformations at international manufacturing companies: hands on, both, in code and on the shopfloor. Currently, Felix is working as a Data & AI Strategist at Databricks for customers in Central Europe.
The leaders in tomorrow's economies will be data + ai companies. Today, the Data Lakehouse is an established best practice as it brought the performance and reliability of Data Warehouses to the elasticity and cost effectiveness of Data Lakes. But what about AI? Tomorrow, the Data Intelligence paradigm embeds AI in every layer and all capabilities of the modern data platform to transform businesses around the world. During this breakout session we'll take a look behind the scenes and what to expect in the future.
With over 20 years of professional experience, 14 of them in consulting, Carsten has in-depth expertise in business intelligence and data warehousing. After studying business informatics at HP, he managed numerous projects as a requirements engineer, architect and developer. As a coach, he accompanied over 25 teams and managers into agility. In the Datavault Builder team, he now creates the synergy between DWH automation and agility.
Carsten Schweiger, DWH Engineer and Agile Coach, shows how lengthy and inflated DWH projects are becoming a relic of the past. A model-driven data vault approach and short feedback cycles bring business and IT together. Automation and standardization in the development process drastically reduce costs and effort. Welcome to a world in which time-to-market is no longer an obstacle, but a competitive advantage.
Manuel Nitzsche is an Enterprise Sales Director at dbt Labs and helps large organisations in Central Europe to increase the efficiency of data transformation in the Cloud Data Warehouse.
Organisations try to federate the access to meaningful data and thereby generate value in a more efficient way. Usually technical roles are involved in the process of transforming raw data into consumable data products. By providing alternative entry points for less technical people to participate in the transformation process and starting to self-serve their needs for meaningful data products, quicker time-to-value can be achieved.
Jan Ulrich Maue is Senior Sales Engineer at Denodo Technologies. He is responsible for pre-sales activities, conducting proof of concepts and advising customers on Data Management and Data Integration architectures in the Central and Eastern Europe region. Jan brings a wide range of industry knowledge including Business Intelligence, Data Security and Storage, and more than two decades of pre-sales and consulting.
In the realm of AI Assurance and ensuring trust through agile data management, the emergence of RAG (Retrieval augmented generation) represents a pivotal advancement. RAG's integration of retrieval and generation techniques fosters richer and more contextually relevant responses, enhancing transparency and accountability in AI systems. By leveraging pre-existing knowledge alongside generative capabilities, RAG promotes robust data governance and bias mitigation, crucial components in fostering trustworthiness. In this session you will learn about the crucial role that effective Data Management plays in conjunction with Gen AI and how the Denodo Platform can enhance Gen AI by providing greater context.
Felix studied business informatics at the University of Hamburg and has worked as a data engineer at Dyn Media GmbH since April 2023. He previously gained experience in data analytics and data engineering in various industries while working as a data consultant.
Johannes has been responsible for Strategy & Business Intelligence at Dyn since 2022. He previously worked as a consultant at McKinsey & Company in the Cologne office. After studying at the University of Cologne with stays abroad in Milan and Lund, Johannes completed a doctorate at the Center for Sports and Management at WHU — Otto Beisheim School of Management.
Johannes has always been a sports enthusiast. So, it's no coincidence that his career began at sporting goods manufacturer Amer Sports, which owns iconic brands such as Arc'teryx, Wilson and Salomon. As a project and program manager for large, global rollouts, he gained direct insight into the entire breadth of the business world of sport. His next stop took him to Intersport, one of the largest sports retailers in the world, where he worked as Head of Corporate Development. Inspired by the idea of using data to shape the future of sports retail, he joined emnos, where today, as Chief Sales Officer, he is turning his vision of bringing the two sides of the same coin - sports retail and sporting goods manufacturers – together and making them successful through genuine collaboration into reality.
The sports retail industry increasingly relies on leveraging data as part of day-to-day operations. With their newly modernized emnosSPORTS platform, emnos has witnessed true transformation based on real-time collaboration between sports retailers and sports brands. To achieve this, they require intuitive, flexible data analytics and visualization for multiple user types and organizations - a familiar challenge for emnos given their 15 years experience in the sports retail and food industries. Yellowfin and emnos have partnered to accelerate time to value for emnos’ clients, the sports retailers as well as the sports brands. Yellowfin provides the embedded analytics platform which enables emnos to deliver sophisticated sales, customer & stock KPIs, and forecasts to the sports industry - ultimately maximizing sales, reducing planning inefficiencies, and ensuring the right product at the right time in the right place to win with the consumers.
With over 20 years of professional experience in the fields of Business Intelligence, Data Analytics/Warehousing, and Big Data, Benjamin has been working as a Senior Solution Engineer at Exasol Schweiz AG for more than 3 years. With his expertise, he guides companies in their transformation into modern, agile, and efficient AI-driven organizations.
AI or ML processes often require data to be pulled from the data store, processed, and then the results/predictions stored back in the data store. This introduces a certain level of complexity and should be avoided. We show you how an AI/ML model can be executed directly at the location of your data without the need to move it beforehand - an advantage for keeping complexity and costs low while maintaining high quality.
Stefan Mennerich has held various positions at FC Bayern Munich since 1997 and is currently Director of Media & Communications and authorized signatory. He has developed all of FC Bayern's media offerings, from the website and all social media platforms to the OTT platform and all club TV offerings, which are broadcast worldwide online, mobile and on TV. Mennerich is also responsible for communications at the record-breaking champions. The business graduate is also a member of the Club Media Commission of the German Football League (DFL) and is active in the Club Rights and Commercial & Innovation working groups of the European Club Association (ECA). Stefan Mennerich is also Chairman of the Management Board of FC Bayern Digital & Media Lab GmbH and an "Observer of the Advisory Board" at OneFootball.
Experienced leader with comprehensive expertise in global digital transformation, particularly in the areas of digital strategy, data, cloud, and IIoT (Industrial Internet of Things). Successfully led teams with global responsibility to develop and implement innovative solutions. Demonstrated ability to tackle complex challenges and achieve sustainable results. Skilled in collaborating with diverse stakeholders and fostering a dynamic corporate culture.
Complete transparency across all business processes and their data representation has long been a dream of many. However, in the manufacturing industry in particular, this involves a high level of investment in order to capture the relevant data within production. This is followed by centralization, standardization and integration with other “classic” data sources. Fränkische IP has risen to this challenge and now operates a cloud platform that makes it possible to analyze data from incoming goods through production to delivery in an integrated manner. A traceability portal provides Fränkische IP's customers with extensive analysis options for their QA processes and further planning of production capacities.
Remco Broekmans is the vice president of international programs for Genesee Academy. He works in Business Intelligence and Enterprise Data Warehousing as a trainer, advisor, facilitator and speaker with a focus on modeling and architecture including Ensemble and Data Vault modeling. He works internationally, and is based in the Netherlands. The last 15+ years, Remco has taught different classes on data modeling, business intelligence and data warehousing, and is acting as a coach for several teams to improve their skills in data modeling. Specialties: Information Management and Modeling, Ensemble Modeling, Data Vault Modeling, Agile Data Warehousing, Education and Business Development.
Join us to explore the World of Data Vault Modeling and discover the keys to successful agile EDW deployments. We will answer the questions: What is Data Vault Modeling? How is it different from other techniques? Why do we use it? And, how can we apply DV successfully? This is a dynamic and interactive session where we will pursue ideas, discuss patterns and take the first steps into modeling a Data Vault. And as a bonus you will meet other data modelers and learn something new.
Dr. Clemens Schäffner has been working as Global Director Data Science Center at Gerresheimer AG, based in Düsseldorf, since the beginning of 2023. He has more than 25 years of specialist and management experience in the fields of business intelligence, data science, data management, artificial intelligence and machine learning at companies such as Siemens, Telefonica O2, Bertelsmann, MediaSaturn and Metro.
The approach of a central Data Warehouse for everything can be seen as a failure – too expensive, too slow, too cumbersome. Nonetheless, how can a holistic data-based view of the business be achieved? How to deal with data silos und various business processes after acquisitions? How to balance data platform building versus providing specific answers to business questions? Dr. Clemens Schäffner will discuss these questions and show how Gerresheimer developed a suitable data strategy, what specific implementation steps were taken and how the long-term vision is approached step by step.
Data analytics solutions have been one of Christine Schulze's favorite projects in several companies for over 20 years. After an excursion as a guest lecturer at the Rosenheim University of Information Systems, she is now supporting customers on their way to becoming a “data-driven company” in the Google Cloud team for over 4 years. Her passion lies in the topics of data governance, building data platforms and data & AI.
Make Data and AI a team sport! Bring AI to all your data (structured and unstructured) with a simple approach. Understand how to activate GenAI powered data insights. Learn what features on Google’s Data Cloud help you to set up a mature Data and AI ecosystem.
Alejandro Mesas Garcia is a Data passionate that enjoys working and learning new things in a sector constantly evolving and improving. During his career had different roles from Data Engineer, Data Architect , ML Engineer and Solutions Architect which gave him a brother overview of the challenges and opportunities to improve in the different levels. Alejandro Loves working with Technology but even more trying to help people to find simple solutions in their Data Journey.
Make Data and AI a team sport! Bring AI to all your data (structured and unstructured) with a simple approach. Understand how to activate GenAI powered data insights. Learn what features on Google’s Data Cloud help you to set up a mature Data and AI ecosystem.
Wolfgang Jarnach brings over 10 years of experience in the fashion industry and expertise in data analytics. Formerly in consulting, he now serves as Director of Data Intelligence at Home Shopping Europe, leading the centralized data department and supervising digital product analytics, data platform management, business intelligence, and data science.
Hear the compelling story of our attempt to move a 15-20 year old legacy data warehouse from on-premise to the cloud and why it didn't work out. Despite years of investment and effort, the project failed. We’ll break down the reasons, from technical issues to strategic missteps, and share the new approach we’re using to make sure we succeed this time around. Learn how to avoid common pitfalls and explore better alternatives to traditional cloud migration.
Kai has been working as a data engineer and architect since completing his doctorate in mathematics at the Technical University of Munich. His expertise lies particularly in the area of Microsoft Azure. After working at b.telligent and Cancom, he is now Senior Data Platform Architect at LAYA Solutions. There he designs the architecture of the analytical platform for smart marketing solutions in the retail sector.
At LAYA, we have opted for an unconventional approach: push instead of pull! In this talk, we'll tell you why and how we did it. With our Azure Data Factory, Snowflake and dbt-based architecture, we'll show you how we overcame the challenges and what we learned from them.
Sébastien holds a degree in computer science from LMU Munich. He has been working as a software developer at MARTIN GmbH for environmental and energy technology since 2022. His expertise covers the areas of computer vision, data pipelines and machine learning. In addition, he is successfully responsible for the management of cloud resources and thus bears comprehensive responsibility for the efficient provision and management of our cloud-based services.
In thermal waste treatment, extensive operational data is generated. The challenge lies in the complex capture and analysis of this data while maintaining data integrity and cybersecurity to make it usable for quick and informed decisions. Our goal is to increase efficiency and reliability by combining data processing and OEM process knowledge in combustion and flue gas cleaning. Our solution leverages edge-to-cloud data transmission and analysis on the Stackable platform in the IONOS Cloud.
Max completed his degree in environmental engineering at the OTH Amberg-Weiden. He has been working at MARTIN GmbH for environmental and energy technology since 2013 and has held various positions, including development engineer and product management. He has held the position of Head of Research and Development since 2020. In addition to his technical expertise in combustion technology, Max has discovered and developed a particular passion for designing digital products.
In thermal waste treatment, extensive operational data is generated. The challenge lies in the complex capture and analysis of this data while maintaining data integrity and cybersecurity to make it usable for quick and informed decisions. Our goal is to increase efficiency and reliability by combining data processing and OEM process knowledge in combustion and flue gas cleaning. Our solution leverages edge-to-cloud data transmission and analysis on the Stackable platform in the IONOS Cloud.
Kolja is Competency Lead & Product Owner of the Analytics Data Foundation team at MediaMarktSaturn. His role involves creating the future Analytical Platform and migrating data use cases from the legacy DWH onto the new environment. Prior to joining MediaMarktSaturn, Kolja gained experience in a variety of data engineering and analytics projects during 10 years of IT consulting in the data field.
MediaMarktSaturn needs to enable data analytics at scale to meet the increasing market requirements. The talk illustrates the journey from the centralized analytics of the BICC, via a complete decentralized Data Mesh approach, towards a hybrid setup in the new Analytical Platform. We look at pros & cons of each concept based on first-hand experience. From that, we conclude how to achieve scalable analytics, while also aiming for company-wide adoption. Regarding the latter, organizational structures, analytical maturity, and legal requirements can be more challenging than the technology itself.
As an Azure Global Black Belt (GBB) Specialist at Microsoft, I help the largest and most complex companies in EMEA to modernize their data estate. I support our customers by evangelizing technology, providing collaborative guidance, helping them design end-to-end analytics solutions and driving digital transformation in the era of AI.
As a Go-to-Market Manager for Analytics at Microsoft, I drive the successful launch and adoption of analytics solutions. I collaborate with cross-functional teams to develop insights from market research, competitive analyses, and industry trends. My goal is to create differentiated value propositions aligned with customer goals and execute effective go-to-market strategies.
Florian Nielsen is Director of AI & Data in the Smart Home/Electronics division at Miele & Cie. KG, the premium home appliance manufacturer. The main challenge is to help leading a manufacturing company through digital transformation by building AI & Data capabilities to infuse decision making with data and maneuver the company towards a mastery of data-driven product development.
Thomas L. Rödding is a digital pioneer & EU expert in the areas of traceability and digital touch points. In 2022, he founded Narravero as a spin-off, which became a pioneer in the field of SaaS solutions for digital product passports and supply chain documentation. As Co-Chair “Digital Product Passport” at the European CEN-CENELEC Joint Technical Committee (JTC) 24 and as Co-Chair in the national DIN & DKE committee, Thomas is involved in the European development of standards for the implementation of the EU Digital Product Passport.
After her international management studies, Dinie worked for several years as a business analyst at Beiersdorf in the field of data analytics. Since 2022, she has been working at OTTO IT in the marketplace environment to make processes more efficient through AI and thus support the scaling of the OTTO marketplace.
OTTO is transforming itself into a platform and is no longer just a retailer, but also a marketplace provider. The number of marketplace partners is growing continuously. This offers many opportunities - but also some challenges. In the presentation, you will learn how we want to make the support of our partners more efficient in the future with the help of a GenAI-based chatbot and why this has given us a whole zoo of colourful little animals for AI optimization.
After studying business informatics, Mareike gained many years of experience in product management, business analysis and project management at OTTO IT. Since 2018, she has worked as a product owner in various software development teams to help build the OTTO marketplace. Building on this, she has now been pursuing the goal of making the marketplace processes more efficient through AI-based services with the BI team hydra since the beginning of 2022 and thus advancing the scaling of the OTTO marketplace.
OTTO is transforming itself into a platform and is no longer just a retailer, but also a marketplace provider. The number of marketplace partners is growing continuously. This offers many opportunities - but also some challenges. In the presentation, you will learn how we want to make the support of our partners more efficient in the future with the help of a GenAI-based chatbot and why this has given us a whole zoo of colourful little animals for AI optimization.
Alexander leads the development of AI products at PAYBACK, specializing in machine learning and deep learning implementation across cloud and on-premise platforms, adhering to MLOps best practices. With a solid foundation in applied mathematics and physics, he holds a Ph.D. from the Max Planck Institute. Alexander is deeply committed to crafting ML/DL solutions for complex challenges.
We explore an innovative approach to mascot creation that combines AI agents and fine-tuned foundation models to uphold brand standards. While traditional foundation models offer a solid starting point, they often lack the specificity required for brand-centric content. By integrating AI agents alongside Stable Diffusion technology and a user-friendly interface (UI), we provide insight into a solution that enables creative employees to generate our beloved mascot, the POINTEE, tailored to PAYBACK's unique identity. Join us as we explore how this synergy between AI agents and foundation models can revamp content generation, but also where it reaches its practical boundaries.
Dora has a passion for building and scaling data products with an ML and AI core, while also fostering the growth of the necessary cross-functional teams. As the leader of the Data Science Department at PAYBACK, she oversees a diverse group consisting of Data Scientists, Machine Learning Engineers as well as AI experts. Prior to her current role, she lead CHECK24’s first Data Science Department. Her academic background includes earning a Ph.D. in Microeconomics and a Bachelor’s degree in Mathematics.
We explore an innovative approach to mascot creation that combines AI agents and fine-tuned foundation models to uphold brand standards. While traditional foundation models offer a solid starting point, they often lack the specificity required for brand-centric content. By integrating AI agents alongside Stable Diffusion technology and a user-friendly interface (UI), we provide insight into a solution that enables creative employees to generate our beloved mascot, the POINTEE, tailored to PAYBACK's unique identity. Join us as we explore how this synergy between AI agents and foundation models can revamp content generation, but also where it reaches its practical boundaries.
Samet has been working as a Business Intelligence Engineer at ProSiebenSat.1 since 2022. Prior to this role, he gained experience as a Software Developer and Data Analyst in various industries. He holds a master's degree in Computer Science with a specialization in Business Informatics. Samet is particularly passionate about cloud-based data solutions.
In today's digital landscape, organizations are increasingly recognizing the benefits of migrating their data warehousing infrastructure to the cloud. This transition offers unparalleled scalability, flexibility, and enables businesses to unlock the true potential of their data assets. However, successful cloud migration requires careful planning, an agile mind set, and a brave mentality for the challenges and opportunities that lie ahead. This conference talk aims to provide a comprehensive overview of the P7S1 cloud migration in the context of data warehousing. We will delve into the key considerations, good practices, and pitfalls that organizations must navigate to ensure a seamless and successful migration.
After studying Business Administration specializing in Information Systems, Tim Schindler started his career as a ETL and DWH engineer. He subsequently worked for various companies in the areas of Cloud services, Dev/DataOps and system architecture. For the past 2 years, he is part of the ProSiebenSat.1 Data Products unit as a Data Engineer.
In today's digital landscape, organizations are increasingly recognizing the benefits of migrating their data warehousing infrastructure to the cloud. This transition offers unparalleled scalability, flexibility, and enables businesses to unlock the true potential of their data assets. However, successful cloud migration requires careful planning, an agile mind set, and a brave mentality for the challenges and opportunities that lie ahead. This conference talk aims to provide a comprehensive overview of the P7S1 cloud migration in the context of data warehousing. We will delve into the key considerations, good practices, and pitfalls that organizations must navigate to ensure a seamless and successful migration.
Rudolf Duttler is currently working as a data scientist within the condition monitoring team at RENK AG, focusing on marine and industry segments. After his education in economathematics and industrial engineering, he joined RENK as a software engineer, later transitioning to his current analytics role. At the moment he works on the continuation of the presented showcase project.
Simon Faatz and his data engineering team at RND in the heart of Germany are driving the digital transformation of the newspaper industry on the BI side. From streaming data to legacy systems to fancy data products from the lakehouse, the full bouquet of business intelligence unfolds there. Previously, Simon worked for several years as a full-stack BI specialist at one of the most renowned BI consultancies.
In the Provocative Debate Forum, we invite our audience to put forward bold and possibly provocative theses for discussion in order to challenge our speakers on stage. The speakers are given 100 seconds to respond to each thesis. This promises to be an exciting and intensive discussion of important topics and will certainly lead to interesting insights. Participants: Andreas Wiener, Managing Director of BI or DIE, Pia Wolf, Founder & Managing Director of agrantis, Simon Faatz-Riccò, Team Lead Data Engineering at RND, Friedrich Staufenbiel, Managing Director & Head of Tech at Berlin Bytes, and Sebastian Amtage, Founder & Managing Director of b.telligent.
In more than 25 years, Olaf Hein has gained experience in IT as an executive, project manager, architect, system integrator, developer, trainer and author. One focus has always been the storage and processing of large amounts of data. He has been a department head at SKP since 2021, where he is responsible for the bank's data infrastructure and data-driven development.
Introducing agile working methods in a single team is relatively simple. Implementing it for several teams in a department such as DHW, Reporting or BI is much more complex. At S-Kreditpartner (SKP), we have adapted scaling Scrum methods for ourselves and introduced an agile way of working based on Scrum and Kanban in the Data Management department. With success! This experience report describes our journey from the start with several, independently operating development teams to a scaling organizational unit with integrated teams. We will use examples to describe the challenges and experiences of this journey and the lessons we have learned along the way.
Katharina Wirtz holds a doctorate in business informatics and has over 20 years of experience in software development, including more than 15 years in agile projects. Her focus was on the concepts of DWH/Big Data and artificial intelligence. She worked as a lecturer in business informatics for six years and has published numerous publications. Since 2016, she has been training large corporations (Ergo, Daimler, BMW, Allianz and others) with the "Scrumkitchen" workshop concept she developed. In 2019, she used it to train the entire management team at Porsche AG. She currently supports the data management department at SKP in agile transformation.
Introducing agile working methods in a single team is relatively simple. Implementing it for several teams in a department such as DHW, Reporting or BI is much more complex. At S-Kreditpartner (SKP), we have adapted scaling Scrum methods for ourselves and introduced an agile way of working based on Scrum and Kanban in the Data Management department. With success! This experience report describes our journey from the start with several, independently operating development teams to a scaling organizational unit with integrated teams. We will use examples to describe the challenges and experiences of this journey and the lessons we have learned along the way.
Harald Erb has been working at Snowflake Computing since 2018 and, as Principal Solutions Engineer, supports leading companies in the modernization and further development of their data and AI platforms. Previously, in his 25-year IT career at Oracle, Pentaho/Hitachi Vantara, he worked as a solutions architect, project manager, consultant and sales engineer in the DACH and EMEA region in numerous customer projects (cross-industry, federal and state security authorities). He is also a regular speaker at conferences and Snowflake events and the author of various specialist and blog articles.
The users of a modern data & AI platform can be very different with their individual needs in terms of development productivity, performance, user-friendliness and, of course, the use of the latest ML & AI technologies. In this talk, we will take a closer look at three user types: DATA PRODUCT BUILDER - as a technologist, is interested in quickly converting technical requirements into intuitively usable data products. Access to all relevant data, high-performance pipelines, data quality and professional presentation/management of data products are important success factors here. CITIZEN DATA SCIENTIST - as a business user, prefers to analyze specific questions "at the speed of thought" and appreciates the ease of use of data products and ML/AI functions. ML AND APPLICATION ENGINEER - helps to put an AI experiment/MVP into production, e.g. in the form of an intelligent, scalable app. The focus here is on the ability to use suitable software/frameworks (on a container basis), apply MLOps practices and operate the entire solution securely. How well does the Snowflake perspective fit your company's data strategy? The Snowflake team on site is looking forward to numerous and lively discussions after this talk!
Marianne is People Lead in Data Analytics & AI at Swisscom and manages 80 internal and 20 external colleagues in Data Services. She has been working in the information and communication technology industry for around 15 years for companies such as SAP, Deutsche Telekom and Swisscom. She has already successfully implemented several transformations of organizations, technologies and products. She has many years of experience in managing people (up to 100 colleagues in a team) and over 60 million Euro profit and loss responsibility. She has lived in 7 countries and is half Chilean, half German.
Toni Mata is the Vice President of Data Solutions at VaultSpeed. He has over 20 years of experience in working with data in various industries such as banking, insurance, healthcare, and public services prior to joining VaultSpeed. This extensive background enables him to assist customers in designing their information architecture using a business-oriented and data-driven approach.
Jan Wickerath is a Manager in the Global Transformation & AI department. He advises clients on the digitalization of processes, with a focus on taxes and transfer pricing. He also supports the use of new technologies, such as artificial intelligence. Previously, Jan worked as a research assistant at the Mercator School of Management and in transfer pricing consulting for a Big 4 company.
AI in the tax department is here to stay. I use three specific examples to show the added value that AI can already deliver in tax departments today.
Paul Watson-Gover is the Senior Solutions Architect at WhereScape with over 15 years of experience. He excels in environments that emphasize continuous learning and innovation, valuing process-oriented solutions to drive sustainable success. Paul is known for his logical approach to problem-solving, often devising unique strategies that set new standards in project execution.
Learn how WhereScape improves Microsoft Fabric. Learn about streamlined migration, low-code integration, and improved metadata management that increases data management efficiency. Experience the synergy between WhereScape and Microsoft Fabric for advanced data technology.
Jean has worked in various sales roles within the world of data for over 16 years , initially at SAS focussing on tools for data quality and governance. For the last 10 years, Jean has been EMEA Partner and Business Development Manager for Yellowfin, working with some of the most expert and innovative consulting and solution partners across the region, including btelligent. As Yellowfin continues to drive innovation in the Embedded and AI analytics space, her goal is to work with partners to help ISV and customer organisations to use analytics to maximise their revenue, reduce churn, accelerate time to value and optimise their investments. PS Jean is Scottish so looks forward to some football banter this week!
The sports retail industry increasingly relies on leveraging data as part of day-to-day operations. With their newly modernized emnosSPORTS platform, emnos has witnessed true transformation based on real-time collaboration between sports retailers and sports brands. To achieve this, they require intuitive, flexible data analytics and visualization for multiple user types and organizations - a familiar challenge for emnos given their 15 years experience in the sports retail and food industries. Yellowfin and emnos have partnered to accelerate time to value for emnos’ clients, the sports retailers as well as the sports brands. Yellowfin provides the embedded analytics platform which enables emnos to deliver sophisticated sales, customer & stock KPIs, and forecasts to the sports industry - ultimately maximizing sales, reducing planning inefficiencies, and ensuring the right product at the right time in the right place to win with the consumers.
Reinhard Mense has more than 20 years of experience in business intelligence and data warehousing. As co-founder and CTO, he built up a successful BI consulting company over more than 10 years. His passion is DWH automation, which led to a spin-off of Yotilla GmbH for the development of a new DWH automation solution. As Product Owner, he is responsible for the development of Yotilla at Exasol AG.
Truly complete data vault automation means that data vault expertise is no longer required. With this vision in mind, Reinhard and Marco developed Yotilla. Yotilla's innovative approach fully automates Data Vault data modeling and enables the definition of business logic without knowledge of the Data Vault data model. In the Breaktalk, we will present the way Yotilla works and show how Yotilla automates all changes to the data warehouse so that you can keep pace with changing or new business requirements at the same time. Using a customer example, we will show that Yotilla both significantly reduces the costs of creating and developing the data warehouse and generates benefits much faster.
With over 15 years of professional experience in Business Intelligence, Data Science and Software Engineering, Marco is an expert in Data Warehousing and Data Vault. He holds an MSc. in Information Systems and is a certified Data Vault 2.0 Practitioner. As co-founder of Yotilla GmbH, his passion for DWH automation turned into an innovative solution for modern data products. Yotilla is now part of Exasol AG, where Marco is responsible for the development of Yotilla as Product Owner & Inventor.
Truly complete data vault automation means that data vault expertise is no longer required. With this vision in mind, Reinhard and Marco developed Yotilla. Yotilla's innovative approach fully automates Data Vault data modeling and enables the definition of business logic without knowledge of the Data Vault data model. In the Breaktalk, we will present the way Yotilla works and show how Yotilla automates all changes to the data warehouse so that you can keep pace with changing or new business requirements at the same time. Using a customer example, we will show that Yotilla both significantly reduces the costs of creating and developing the data warehouse and generates benefits much faster.
