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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.
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.
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.
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.
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.
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.
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.
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.
Erfahre, wie Microsoft Fabric durch WhereScape verbessert wird. Lerne etwas über optimierte Migration, Low-Code-Integration und verbessertes Metadatenmanagement, das die Effizienz der Datenverwaltung steigert. Erlebe die Synergie zwischen WhereScape und Microsoft Fabric für fortschrittliche Datentechnologie.
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.
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.
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.
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!
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.
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.
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.
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.
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.
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!
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.
Automation platforms are becoming more metadata-driven, utilizing metadata to orchestrate and automate data management processes. Automation tools can intelligently automate tasks such as data integration, transformation, and governance by leveraging metadata to comprehend the structure, relationships, and lineage of data assets. VaultSpeed is a pioneer in this evolution. We provide the only automation tool that blends business understanding with metadata from all sources to suggest a comprehensive company-wide data model and automates the transformation and integration of data to populate that model. The underlying magic lies in our built-in integration templates, which generate ETL and DDL instructions for various sources and technologies, encompassing 2220 unique combinations. VaultSpeed also champions the ability to allow data engineers to code custom business logic automation, such as KPIs, and apply that across all data presentations in the information layer. We're thrilled to offer you a sneak peek of our latest advancements in Automated Data Transformation. Our team is currently focused on creating and testing features that will make it easier for users to perform customized data transformations, both upstream and downstream. We're diligently working on an intuitive, graphical drag-and-drop interface that will enhance accessibility to data automation for every data team. This will enable them to deliver consistency throughout the organization in alignment with their business objectives and data governance policies.
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.
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.
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.