Please note:
On this site, there is only displayed the English speaking sessions of the TDWI München digital. You can find all conference sessions, including the German speaking ones, here.
The times given in the conference program of TDWI München digital correspond to Central European Time (CET).
By clicking on "EVENT MERKEN" within the lecture descriptions you can arrange your own schedule. You can view your schedule at any time using the icon in the upper right corner.
- Montag
20.06. - Dienstag
21.06. - Mittwoch
22.06.
Have you ever ordered a product on Amazon websites and, when the box arrived, wondered how you got it so fast, how much it would have cost Amazon, how much carbon it emitted and what kinds of systems & processes must be running behind the scenes to power the whole operation?
Let’s take a look behind the scenes and open the doors of Amazon Data and Analytics teams to explore how the combination of our people and our advanced algorithms are working together to deliver to our customers millions of…
What does it take to operationalize machine learning and AI in an enterprise setting? This seems easy but it is difficult. Vendors say that you only need smart people, some tools, and some data. The reality is that to go from the environment needed to build ML applications to a stable production environment in an enterprise is a long journey. This session describes the nature of ML and AI applications, explains important operations concepts, and offers advice for anyone trying to build and…
What is Data Mesh? Join Starburst for an introduction into this modern approach to managing analytics at scale. Data Mesh embraces decentralisation over-centralisation, meaning it allows companies to become more efficient in accessing and exploiting data as a core architectural approach.
Seit Jahren setzen unsere Kunden auf die Ab Initio Plattform zur Datenintegration, Datenbewirtschaftung und für Data Governance.
Der Fokus liegt dabei auf komplexen Systemlandschaften, und schon jetzt nutzen viele Kunden ihre Metadaten für die Governance.
Der nächste Schritt ist es nun, diese Metadaten auch viel mehr für die Steuerung der Produktionsprozesse und somit Automatisation und Self-Service zu verwenden.
Ein solches System stellen wir Ihnen in diesem Vortrag live vor.
Voilà: Active…
Fast jeder Beitrag zu moderner BIA fängt mit dem Satz an 'Noch nie wurden so viele Daten wie heute gesammelt'. Es gilt als Daumenregel: Willst du Machine Learning machen, musst du viele Daten sammeln. Da wird man schon fast zum Spielverderber, wenn man das Thema Datenlöschungen anspricht. Erfahren Sie, warum es trotzdem wichtig ist, dieses eher unliebsame Thema als Spezialfall einer Data Governance auf die Tagesordnung zu setzen.
Zielpublikum: CDOs, CISOs, IT-Leiter, Datenschutzverantwortliche
V…
The setup of a decentral function-based data governance requires time, shapes a continuous learning organisation and grows data capabilities and competence in the functions. Through these means a sustainable data culture is established and anchored, which plays a particular role in realising the strategic corporate goals, such as the digital transformation of processes.
Target Audience: Data Governance Manager, Data Passionist, CDO, CIO, Data Analytics Specialist
Prerequisites: Basic knowledge…
Missing data leadership, lack of vision, data-unliterate business units, data in silos, no data- and analytics-governance - The symptoms of a missing data strategy are unmistakable. Whilst organizations strive to exploit the benefits promised from data & analytics, corporate well thought data strategies are rather an exception than rule. We would like to exchange best practices and experiences for designing & implementing sustainable yet pragmatic data strategies for organizations.
Target…
Künstliche Intelligenz ist schon längst dem Pionierzeitalter entwachsen. Doch um mit dem Einsatz von KI einen echten Mehrwert für das Unternehmen zu schaffen, kommt es auf die qualitativ hochwertige Bereitstellung von Daten an. Hier kommt ML Engineering ins Spiel - ein Konzept zur Bewältigung der hohen Komplexität von Daten bei der Entwicklung von KI-Systemen. Im Vortrag wird eine ML Engineering Roadmap vorgestellt, mit der dieses häufig unterschätzte und doch so kritische Konzept erfolgreich…
As the data mesh paradigm takes the industry by storm, the conversation deep dives into the architecture, neglecting the socio-organizational element. Data driven organizations must invest not only in infrastructure but also data organization and culture.
Target Audience: Executive, senior business managers
Prerequisites: None
Level: Basic
There’s so much Data Mesh theory, but most organisations need more strategic guidance on how to implement it. Join this session to guide you learn how to cultivate a Data Mesh mindset when transforming from a data & analytics strategy towards a data-driven organisation.
This activity is suitable for data warehouse developers, BI managers, and data architects who want to take the fastest, safest, most secure path to create, manage and adapt Data Warehouses, Data Marts, Data Vaults, and Data Lakes.
Attendees will enjoy a fast-paced, interactive workshop using WhereScape's automated code generator and best-practice templates to build a fully functional and documented data warehouse.
You will be set up with your own instance of WhereScape and a target database…
The real magic of AI lays in well managed data to build and train the underlying models. Accordingly, streamlined data management process are essential for success in AI. In this session we are going to discuss data management for AI and ask questions like 'What is data management for AI?', 'Are there difference to well-known approaches from BI & Analytics' and 'Do we need special AI data engineers?'.
TDWI Community Talk is an open format to discuss current topics in the area of data analytics…
Forecasting events using time series analysis is used in a variety of fields, from stock prices and sales forecasts to weather forecasts and patient disease progression. However, time series analysis is fundamentally different from other machine learning (ML) methods. In this hands-on workshop, we will use freely available data to look at the entire life cycle of such an ML project, from data, to model training, to use of the trained model, to MLOps and model drift.
Maximum Number of…
Attendees from Part 1 will continue their data automation experience. By the end of this session, you will have built a Data Warehouse and understand the wider value of this approach to Data Vaults, Data Marts, and Data Lakes.
The secrets to accelerating data projects and delivering in hours, not weeks or months, will have been revealed! You will know how to eliminate technology lock-in and future-proof your data architecture.
Are you considering Data Vault but are not sure if it is a match for your needs? Are you about to embark on your first project? Do you want to discuss real-world applications? Are you keen to understand how to maximize your investment and see results fast?
This is an “ask the expert” session where you can question Data Vault practitioners, specialists, and automation technologists as we cover all of the above topics and more!
Machine learning and AI have changed the world of data processing and automation at a breathtaking pace, at the cost of turning algorithms into hard-to-control and monitor black boxes.
We present methods and concepts of explainable AI that aim to open the black box and tame these algorithms.
Target Audience: Decision-Makers/Stake Holders in AI & model development, Data Scientists
Prerequisites: general awareness of modeling pipeline and challenges, no coding/math skill required
Level: Basic
Natural Language Processing (NLP) allows us to deeply understand and derive insights from language, ultimately leading to more automated processes, lower costs, and data-driven business decisions.
Google is recognized as a market leader in AI and has built a range of solutions incorporating NLP to address a myriad of business challenges. This talk will introduce a few possible solutions, as well as some business use cases on how to incorporate them in a variety of industries.
Target Audience: M…
Drinks, nibbles, competitions
In der schieren Menge an Daten, die in vielen Unternehmen schlummern, steckt ein enormes Wertpotential für das Business. Doch wie versetzen sich Organisationen in die Lage, diesen Datenschatz zu heben? Datensilos und heterogene Datenbestände scheinen oftmals eine unüberwindbare Hürde für eine nahtlose Integration zu sein – und die IT wird schnell zum Spielball aufwändiger und teurer Legacy Integrations-Technologien. Im Vortrag erfahren Sie von Robert Auerochs, wie die ING-DiBa diese Hürden in…
In order to succeed in creating a data driven enterprise it is clear that choosing the right data architecture is now critical. This session explores the evolution of data and analytics architecture and looks at what is needed to shorten time to value and create a data driven enterprise. It looks at the pros and cons of data lake, lakehouse and data mesh architectures and asks: Is there a best approach? Is a lot more than this needed to succeed?
Target Audience: Data architects, CDOs, CAOs,…
Innovative IT ermöglicht Unternehmen neue Kooperationsformen mit verschiedenen Partnern in offenen Netzwerken. Hierbei entstehen kooperative Datenräume auf der Basis IoT-basierter Digitaler Zwillinge, deren erfolgreiche Umsetzung leistungsfähige BIA-Infrastrukturen voraussetzen.
Zielpublikum: Management, BIA-Verantwortliche, Chief Information Officer / Chief Digital Officer
Voraussetzungen: keine
Schwierigkeitsgrad: Einsteiger
Factories of tomorrow are built based on digitized and modular elements and systems.
In order to make sure (worker’s) safety is still given, reliable confirmations at runtime for autonomous processes and its dependencies as part of digital twins have to be deployed.
The speech further will outline the way trustworthiness of datapoints ensure a resilience and productive operation as part of an enablement.
Target Audience: Infrastructure decision maker, CDO, COO, CEO, business owner, production…
Als integralen Bestandteil der Unternehmensziele formulierte der DKV Mobility (DKV) 2020 eine auf Use Cases gestützte Datenstrategie. Seit Anfang 2021 wird diese mit den drei folgenden Schwerpunkten operationalisiert: Der Aufbau der Abteilung Data Intelligence & Analytics, die Einführung einer cloud-basierten analytischen Plattform und die Umsetzung des Data Governance Programms.
Die wesentliche Säule des Data Governance Programms war dabei die Einführung des Data Catalogs, realisiert durch die…
Dillinger had built an "on-demand data warehouse" for its production data with many independent tables using its own ETL applications in Java over two decades. With a very small team, maintaining the warehouse took up a lot of the time. After a careful evaluation of options, Dillinger partnered with Scalefree to construct a new Data Vault 2.0-based data warehouse from scratch. Using the WhereScapes ETL tool chain allowed us to start the migration process with a few people and continually expand…
The data lakehouse is the new popular data architecture. In a nutshell, the data lakehouse is a combination of a data warehouse and a data lake. It makes a lot of sense to combine them, because they are sharing the same data and similar logic. This session discusses all aspects of data warehouses and data lakes, including data quality, data governance, auditability, performance, historic data, and data integration, to determine if the data lakehouse is a marketing hype or whether this is really…
This session introduces AI-driven automation and looks at the building blocks needed to automate operational tasks and decisions.
It discusses ground-breaking innovation that opens up the next stage in data and analytics for the data driven enterprise. It provides key information on how to use data, analytics and AI to automate decisions to significantly shorten time to reduce costs, reduce risks and seize opportunities to grow revenue.
Target Audience: Chief Analytics Officer, Chief Data…
Dieser Vortrag handelt von Self-Service Analytics, Daten Demokratisierung und der Rolle des Modernen Analytics Teams.
Eine Live-Demo von Veezoo, der State-of-the-Art Lösung für Conversational Interfaces, soll eindrücklich demonstrieren, wie Self-Service Analytics im 21-Jahrhundert auszusehen hat.
Digital transformation is in a way a never-ending journey. Recent trends put high expectations on AI technologies for process automation, insight generation and decision support. In Hilti, we see information generated from our data as substantial contribution to the success of our business.
We will describe how we put the user and the usage of information in the center of our initiative of an information enabled company. Hilti’s journey towards process, data and system consolidation serves as…
You've heard why companies use data warehouse automation (DWA) software, but what is the long-term impact on the business?
Maximilian Vollmer from Volkswagen Commercial Vehicles explains practically and from personal experience how the team has changed its way of working since the introduction of WhereScape DWA over 5 years ago and how this has affected the business.
Bringing advanced analytics to end users through well-established reporting tools can be challenging. The solution we present in this talk enables business users to directly receive machine learning (ML) predictions for their custom selections in Tableau. We use Big Data and AWS (PySpark) technologies for our ML pipeline. The ML models are then deployed to MLflow and two-way communication to Tableau is ensured through APIs.
DOUGLAS ist führender Anbieter für Beauty Produkte mit über 2.000 Ladengeschäfte in Europa. In den letzten Jahren etablierte das Unternehmen eine sehr erfolgreiche Online-Beauty-Plattform mit mehreren Onlineshops. Erfahren Sie in diesem Vortrag direkt vom Principal Project Manager Data Thomas Borlik wie es DOUGLAS geschafft hat, mit einer modernen Datenarchitektur diesen Ausbau zu unterstützen. Dank zentralisierter Daten haben die Mitarbeiter und das Management schneller als je zuvor nun die…
Embracing a holistic analytics across an organization can make it more innovative, agile, and successful. For instance, data democratization makes analytics more accessible and this leads to better-informed decisions. Modernizing data warehouses reduces complexity and improves reporting. Using hybrid cloud deployment strategies can increase the ability to analyze data no matter where it resides.
In this presentation, we will discuss how companies across different verticals are planning and…
In his talk Paul Dietrich describes what 'United by Data' means to Collibra's customers and ways to support those 66% of companies which still struggle to turn their data into useful insights.
A popular new architecture for offering frictionless access to data is the data fabric. With a data fabric, existing transactional and data delivery systems are wrapped (encapsulated) to make all of them look like one integrated system. A data fabric enables all data consumers to access and manipulate data. Technically, data is accessed and used through services. But data fabrics cannot be bought, they need to be designed and developed. This session discusses key guidelines for designing data…
Got great ML, analytics, and engineering talent, but need to increase the adoption of the ML and analytics solutions your team produces? Wondering how to design decision support applications and data products that actually get used and generate business value? If you're tired of making 'technically right, effectively wrong' data products that don't get used, this session will help!
Before you can generate business value, your data product first has to be used and adopted. That success boils…
The Data Lake is dead, long live the Data Mesh! But what is a Data Mesh exactly? And how does Real-Time fit into it?
In this talk you’ll learn what a Data Mesh approach brings to the table, as well as the why and how of creating a Real-Time backbone for your Data Mesh architecture.
Bei allen Trends, die rund um ‘Data Management’ kommen und gehen ist eins klar: es ist vielmehr ein kontinuierlicher Weg, als ein finales Ziel, das zählt. Um bestehen zu können, brauchen Organisationen einen agilen Ansatz, der die Grundlage dafür legt, den Berg- und Talfahrten von technologischen Trends zu folgen und das mit geringem Aufwand.
Als ein führender Anbieter diskutieren wir mit Ihnen unseren ‘Agile Data Fabric’ Ansatz und zeigen, wie verschiedene Trends umgesetzt werden können.
DB Regio Bus, a subsidiary of Deutsche Bahn, has been executing a data strategy to support digitization and automation in a very decentralized organization. In this presentation, Asha, Marcus, and Christian will provide insights, methods, and lessons learned about the data strategy at DB Regio Bus and their experiences related to its successful execution.
Target Audience: Chief Data Officers, Chief Digital Officers, Data Manager, Data Governance Manager, Data Governance Directors
Prerequisites:…
SWICA historically runs a data warehouse built by a centralized team and in parallel, multiple isolated solutions for domain specific analyses, which afford high maintenance and an extensive effort to stay compliant.
Modernizing our analytical environment, we are building a collaborative platform on MS Azure, utilizing the Data Mesh paradigms of data domain and data product.
We aim to deliver a managed data marketplace for all data domains to provide their data products on a modern platform with…
"Die Transformation der Banken & Versicherungen ist in vollem Gange. Neue Services und Geschäftsfelder sollen sowohl das Kundenerlebnis deutlich verbessern, als auch das Wachstum und die Zukunftssicherheit der Unternehmen sichern.
Klassische Big Data & AI Ansätze halten mit den neuen Anforderungen schon kaum Stand - von zukünftigen Entwicklungen ganz abgesehen.
Wie kann z.B. die persönliche Versicherungsmaschine der Zukunft (McKinsey) zu jedem Zeitpunkt in Echtzeit die optimale Entscheidung…
Petrol is Slovenian company that operates in 8 countries in SEE with 5BEUR annual revenue. As traditional publicly-owned company, Petrol has faced necessity for transformation to stay ahead in highly competitive market. Use of BIA was mainly reactive, but in recent years it has transformed into competitive advantage by using cloud technologies and industry specific analytical models and focusing on the content and creating business value. This value is now being leveraged as competitive…
Zum Management einer Bonus Club Karten Lösung mit mehreren Geschäftspartnern musste binnen kürzester Zeit eine BIA Lösung aufgebaut werden.
Im Vortrag wird gezeigt wie die Anbindung der Geschäftspartner über Cloud und OnPrem Komponenten erfolgt und mittlerweile seit Beginn dieses Projektes 16 individuelle Partner DWH Lösungen inkl. einer Unified DWH Lösung aufgebaut wurden.
Die DWH Lösungen selbst wurden On Prem implementiert. Die Reporting Anbindung der Geschäftspartner inkl. der Data Mart…
Often, existing data architectures can no longer keep up with the current 'speed of business change'. As a result, many organizations have decided that it is time for a new, future-proof data architecture. However, this is easier said than done. In this session, ten essential guidelines for designing modern data architectures are discussed. These guidelines are based on hands-on experiences with designing and implementing many new data architectures.
Target Audience: Data architects, enterprise…
To improve business outcomes, SaaS software provider Frontify aimed to empower all its 200 employees with fast, self-service insights from one version of data truth. To this end, Frontify’s data team migrated from its legacy infrastructure to a low-latency, modern data stack comprising Snowflake, Fivetran, and ThoughtSpot, and is on a mission to drive adoption and business impact. - “Data for all” is now well within reach.
In this joint session presented by Ramesh Shurma, CEO, Orion Governance and Timm Grosser, Senior Analyst Data & Analytics at BARC, we will share the newest 2022 BARC findings.
For highly distributed data landscape with growing data volumes, extensive data movement is not a viable concept. Data warehouse, data lakes, data lakehouses approaches are reviewed and experts discuss modern concepts such as data fabric. These have the objective of reducing the complexity and scope of data processes…
A victim of its success, Siemens' Pulse Analytics, an in-house developed platform offered to internal and external users to support decision making, was struggling to keep pace with the demands of its users for super fast dashboards as data needs increased over time.
Join Christoph Malassa, Managing Consultant / Head of Analytics and Intelligence Solutions, Siemens, to discover how he googled 'what's the fastest relational database analytics’ and ended up deploying SingleStore with the following…
Data Analysts and Data Scientists invest an immense amount of time into optimizing models and interpreting data, all in the quest to promote better business decision making and more efficient product development. We oftentimes however fail to take a step back and answer the overarching question: Why does the user show the observed behavior pattern? Why does a certain variable improve the accuracy of our prediction model? Despite all the advances we have made in analytics, even predictive…
Der Einsatz von Künstlicher Intelligenz zur Betrugserkennung bei Heilmittel- und Pflegeleistungen in der gesetzlichen Krankenversicherung. Von der Pseudonymisierung und Digitalisierung der Abrechnungsbögen bis zur Analyse, Auswertung und Darstellung der Anomalien - Ein Projektbericht!
Zielpublikum: Management, Data Scientists, Data Engineers
Voraussetzungen: Experience, Curiosity
Schwierigkeitsgrad: Fortgeschritten
The Coronavirus lockdowns altered public transport occupation data. Ultimately, these changes in occupation data are perfect examples of sudden concept drifts that can be blockers in most machine learning deployments. We managed to overcome the obstacles by developing methods and engineering features that allowed us to adjust forecasts based on unforeseen changes in the occupation data. In this talk, we give insights into our journey from idea development to the ways how we overcame the…
For many years, technology gurus, transformation evangelists and many more have pictured a world that will dramatically change with incredible pace. Consequently, it was predicted that impacts on society, economy, environment, and political landscapes will leave no stone unturned. As a matter of fact, the current times feel as if these predictions have eventually become reality. The VUCA world is not only part of our daily life, but also even a nucleus in itself that demands resilience from…