CONFERENCE PROGRAM OF 2022

Please note:
On this site, there is only displayed the English speaking free 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).

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  • Montag
    20.06.
  • Dienstag
    21.06.
  • Mittwoch
    22.06.
09:30 - 10:30
KeyMo1
KEYNOTE: Welcome to the Real World: Data, Science and Supply Chain network optimization
KEYNOTE: Welcome to the Real World: Data, Science and Supply Chain network optimization

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 diverse products every day all across the globe.

From the moment we order products from our vendor partners, until we deliver to our customer doorsteps, we use dozens of systems, pieces of software, Machine Learning algorithms and Petabytes of data to optimize our operations. Together, they orchestrate what we call our fulfillment network and optimize the reliability, delivery speed, cost and carbon emissions of our products, packages and trucks.

Together, we will follow the journey of a customer order, and dive into the different steps of our fulfillment operations:

  1. Forecasting how much volume will flow on our network
  2. Buying the right quantities and placing our inventory at the right location
  3. Designing an efficient outbound network
  4. Executing operational excellence to delight customers

We strive to be the earth’s most customer centric company, today let’s take a look into what it means!

Dominique Vitali is Director of the EU Customer Experience team at Amazon and in charge of Supply Chain and Transportation network optimization through analytics for the European customers – Delivery accuracy/Delivery
Speed/Fulfillment Cost Reduction/Carbon Intensity reduction. Managing a team of 25 analysts, program managers and data scientists.

Dominique Vitali
Dominique Vitali
Track: Keynotes
Vortrag: KeyMo1
10:45 - 12:15
SDmo2.1
Special Day: Starburst | Data Mesh 101
Special Day: Starburst | Data Mesh 101

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.

Andy ist EMEA Head of Partner Solutions Architecture and Data Mesh Lead bei Starburst. Andy unterstützt das schnell  Wachstum von Technologiepartnern in Europa und im Nahen Osten und arbeitet u.a. mit Data Reply, AWS, Google Cloud, Red Hat und Thoughtspot zusammen.

Mit mehr als 20 Jahren Erfahrung in analytischen und datenorientierten  Funktionen liegt Andys besonderer Fokus auf der Frage, wie der Nutzen von Analytik, die analytische Kultur und die analytischen Prozesse eines Unternehmens durch Technologien wie Self-Service-Datentools, Cloud- und Streaming-Analysen optimiert werden können.

Andy Mott
Andy Mott
Vortrag: SDmo2.1
13:00 - 13:30
CSmo2
Case Study: Ab Initio | Active Metadata - so viel mehr als nur ein Schlagwort!
Case Study: Ab Initio | Active Metadata - so viel mehr als nur ein Schlagwort!

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 Metadata!

Seit 17 Jahren arbeitet Peter als Architekt mit Kunden weltweit an der Planung und Umsetzung von großen und komplexen Systemen.
Besonders angetan hat es ihm dabei die Definition und Umsetzung dieser Systeme mit Hilfe von Metadaten.
Vor langer Zeit hat er sich beschäftigt mit Data Mining und dem wissenschaftlichen Höchstleistungsrechnen.

Peter Ossadnik
Peter Ossadnik
Vortrag: CSmo2
13:45 - 14:30
SDmo2.2
Special Day: Starburst | Data Mesh in Practice
Special Day: Starburst | Data Mesh in Practice

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.

Andy ist EMEA Head of Partner Solutions Architecture and Data Mesh Lead bei Starburst. Andy unterstützt das schnell  Wachstum von Technologiepartnern in Europa und im Nahen Osten und arbeitet u.a. mit Data Reply, AWS, Google Cloud, Red Hat und Thoughtspot zusammen.

Mit mehr als 20 Jahren Erfahrung in analytischen und datenorientierten  Funktionen liegt Andys besonderer Fokus auf der Frage, wie der Nutzen von Analytik, die analytische Kultur und die analytischen Prozesse eines Unternehmens durch Technologien wie Self-Service-Datentools, Cloud- und Streaming-Analysen optimiert werden können.

Artyom has taken the role of Managing Director of Data Reply beginning 2022, having previously led the Big Data Business Unit and served as the company Technical Lead. Since then, Data Reply’s focus has been on building scalable Data Platforms, Event-Driven Applications and ML Applications. He himself has been involved in a range of Data driven and ML use cases and has been the Lead Developer and primary architect for a variety of large-scale Data Platforms used by large organizations from different Industries.

Andy Mott, Artyom Topchyan
Andy Mott, Artyom Topchyan
Vortrag: SDmo2.2
14:15 - 15:00
SDmo3.1
Special Day: WhereScape | Data Automation is No Longer a Choice. Start Building. Right. Now. (Part 1)
Special Day: WhereScape | Data Automation is No Longer a Choice. Start Building. Right. Now. (Part 1)

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 via a virtual machine and then guided through real-world development scenarios as if you were part of a professional data engineering team. This is an excellent opportunity to learn about the latest data automation technologies and how they can help you streamline your data architecture.

Vortrag: SDmo3.1
15:30 - 16:15
SDmo3.2
Special Day: WhereScape | Data Automation is No Longer a Choice. Start Building. Right. Now. (Part 2)
Special Day: WhereScape | Data Automation is No Longer a Choice. Start Building. Right. Now. (Part 2)

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.

Vortrag: SDmo3.2
16:15 - 17:00
SDmo3.3
Special Day: WhereScape | Questions about Data Vault? The answers are here.
Special Day: WhereScape | Questions about Data Vault? The answers are here.

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!

Vortrag: SDmo3.3
17:15 - 18:30
SDmo2.5
Special Day: Starburst | Happy Hour
Special Day: Starburst | Happy Hour

Drinks, nibbles, competitions

Vortrag: SDmo2.5
09:40 - 10:15
T2
Track+: Scalefree | Made of Steel - Rebuilding a Historically Grown Data Warehouse with Data Vault 2.0 and WhereScape ETL automation
Track+: Scalefree | Made of Steel - Rebuilding a Historically Grown Data Warehouse with Data Vault 2.0 and WhereScape ETL automation

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 it while keeping the old warehouse alive. In this case study, we describe the construction of a technical data warehouse based on Data Vault 2.0 and WhereScape ETL automation, the challenges, how we addressed them and the feasibility of our approach. What you will learn: · Case study of a Data Warehouse project in the heavy plate industry · Build and operate a Data Vault 2.0 Data Warehouse with a small team · Challenges and tackles · Successful combination of internal team with external experts to get the Data Warehouse up and running

Dr. Nicolas Fritz hat über 19 Jahre Erfahrung in der Informationstechnologie/Informatik und ist seit über 10 Jahren bei SHS - Stahl-Holding-Saar GmbH & Co. KGaA (ehem. Dillinger) tätig. Sein Schwerpunkt in den letzten Jahren liegt im Projektmanagement und der Software-Qualitätssicherung. In dem gemeinsamen Projekt mit Scalefree zum Umbau eines historisch gewachsenen DWH waren seine Aufgaben: - Teamleiter der Data Warehouse Gruppe - Design und Entwicklung des neuen technischen Data Warehouse (TDW) - Wartung und Migration des aktuellen TDW - Ermöglichung von Application Life-Cycle Management Prozessen

Mit umfangreicher Erfahrung in der Informationstechnologie, die sich über mehr als 10 Jahren ist Dr. Alexander Brunner seit Oktober 2018 Scalefree Partner für den Finanzbereich seit Oktober 2018. Als Senior IT- und Finanzrisikomanagement-Profi hat er Expertise in der in der Durchführung von sowohl technisch als auch betriebswirtschaftlich getriebenen Projekten bei Investmentbanken, Kreditbanken, Staatsbanken und Immobilienbanken. Er hat sich auf die Einführung von Risikomanagement Risikomanagementsystemen, Financial Engineering (Robo-Advisory) und Beratung von Finanzinstituten bei der Erfüllung regulatorischer Anforderungen in Bezug auf Liquiditäts- und Marktrisiken.

Nicolas Fritz, Alexander Brunner
Nicolas Fritz, Alexander Brunner
Track: Track+
Vortrag: T2
12:15 - 13:00
KeyDi
KEYNOTE: The information enabled company – a long way to digital transformation
KEYNOTE: The information enabled company – a long way to digital transformation

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 an excellent foundation for that. We present the foundational technologies we put in place to manage the increasing amount and variety of data, as well as our “Integrated Information Management” approach. We will especially focus on advanced analytics and AI and give examples for successful implementations, but also highlight challenges, especially when it comes to change management and taking the organization along.

In his function as Head of Information Management in Global IT, Ralf Diekmann is responsible for all reporting, data engineering, and analytics solutions of Hilti AG globally. Ralf holds a PhD in Computer Science from the Paderborn Center of Parallel Computing. He joined Hilti AG 22 years ago as research engineer and since then held various positions in business and IT incl. Global Process responsibility, SAP implementation manager, Head of Process Governance, and various leadership functions in Hilti’s Global IT department. 

Andreas Wagner is leading the Data Science team at Hilti. In this role he is delivering DS projects, shaping the DS strategy at Hilti, recruiting Data Scientists and further developing the necessary ML toolbox. Andreas Wagner has more than five years’ experience in this field and is nine years at Hilti. Andreas holds a PhD in theoretical Physics. 

Ralf Diekmann, Andreas Wagner
Ralf Diekmann, Andreas Wagner
Track: Keynotes
Vortrag: KeyDi
13:45 - 14:15
CSdi3
Case Study: Adastra | Interactive machine learning predictions using microservices and Tableau
Case Study: Adastra | Interactive machine learning predictions using microservices and Tableau

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.

Johannes Mellenthin promovierte in Teilchenphysik an der Universität Göttingen und am CERN. Er hat langjährige Erfahrung im Consulting im Bereich Data Science. Neben der technischen Implementierung von End-to-End-Machine-Learning-Lösungen konzentriert er sich auf die Identifizierung von Möglichkeiten für Unternehmen, langfristig den größten Nutzen aus ihren Daten zu ziehen.

Johannes Mellenthin completed his doctorate in Particle Physics at the University of Göttingen and CERN. He has several years of experience in consulting in the Data Science sector. Besides the technical implementation of end-to-end Machine Learning solutions, he focuses on identifying opportunities for businesses to get the most value out of their data.

Johannes Mellenthin
Johannes Mellenthin
Vortrag: CSdi3
13:45 - 14:15
CSdi5
Case Study: Vertica | Analytics Innovation: Proven Case Studies and Strategies that Work
Case Study: Vertica | Analytics Innovation: Proven Case Studies and Strategies that Work

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 implementing data warehouse modernization, data democratization, and hybrid cloud migration, improving revenue and efficiency to ensure market leadership.  

Dieter works in Vertica presales engineering for the German speaking countries.
His mission is to analyze our customer’s goals and infrastructure to make their Big Data Analytics projects successful through the Vertica Unified Analytics Platform.

With over 35 years of experience in presales, project management and consulting in the database industry, Dieter brings a deep understanding of data and organizations. He leads his customers to success during the entire project lifecycle from discovery to successful project launches.
Prior to Vertica, Dieter worked as project manager and consultant at Teradata and in the R&D organization at IBM as presales and software engineer. Dieter graduated with two master degrees in computer science and organizational psychology.

In his free time Dieter is a chess player and runner.

Dieter Capek
Dieter Capek
Vortrag: CSdi5
13:45 - 14:15
CSdi6
Case Study: Collibra | Delivering Data Intelligence - The Collibra Data Intelligence Platform
Case Study: Collibra | Delivering Data Intelligence - The Collibra Data Intelligence Platform

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.

Paul leads the Collibra Field Teams for the Nordics and DACH region. He joined Collibra in early 2019 after eight years with Salesforce.com where he built teams for different regions in Germany. Prior to that, he held international Enterprise Sales and Business Development roles at Gartner (CEB) and BBDO. He is passionate about helping Collibra customers to use data as a shared language to drive empathy, understanding, and successful business outcomes.

Paul Dietrich
Paul Dietrich
Vortrag: CSdi6
13:45 - 14:15
CSdi2
Case Study: WhereScape | Migration to the cloud - Automation is the key to efficiency!
Case Study: WhereScape | Migration to the cloud - Automation is the key to efficiency!

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.

Maximilian Vollmer
Maximilian Vollmer
Vortrag: CSdi2
14:30 - 15:15
SDdi1.5
Special Day: Confluent | The Real-Time Backbone of a Data Mesh
Special Day: Confluent | The Real-Time Backbone of a Data Mesh

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.

Alex Piermatteo works as a Manager and Architect for the Event Driven and Streaming Applications Business Unit at Data Reply. Alex is regular speaker at conferences and his main area of expertise lies within the fields of Stream Processing, Big Data Integration & Analytics, Cloud, Microservices and DevOps.

Sergio Spinatelli works as a Manager and Architect for the Event Driven and Streaming Applications Business Unit at Data Reply. With experiences in major industries (Automotive, Retail, Media, Banking) and with state of the art Big Data technologies, he focuses on Stream Processing, Real-Time Analytics, Microservice Architectures and Cloud.

Alex Piermatteo, Sergio Spinatelli
Alex Piermatteo, Sergio Spinatelli
Vortrag: SDdi1.5
13:15 - 13:45
CSmi2
Case Study: ThoughtSpot | Self-service insights on demand for all at Frontify
Case Study: ThoughtSpot | Self-service insights on demand for all at Frontify

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.

Sibel is an experienced data leader with a demonstrated history of working in technology companies in various industries, including Frontify, Ava Women, eBay and PayPal. She has a deep understanding of the data technology space and analytics methodologies. She is passionate about building powerful data capabilities, has a deep focus on data quality, and is a strong advocate for data literacy.

In case you don't know Cindi, she is a fantastic data analytics thought leader and expert with a flair for bridging business needs with technology.   As Chief Data Strategy Officer at ThoughtSpot, she advises top clients and partners on data strategy and best practices to become data-driven. Cindi is also host of the Data Chief Podcast, a top 10 podcast in the data and analytics category. Cindi was previously a Gartner research Vice President, as the lead author for the data and analytics maturity model and analytics and BI Magic Quadrant, and a popular keynote speaker.  She introduced new research in data and AI for good, NLP/BI Search, and augmented analytics and brought both the BI bake-offs and innovation panels to Gartner globally. She’s rated a top 12 influencer in big data and analytics by Onalytca, Solutions Review, Humans of Data.  Prior to joining Gartner, she was the founder of BI Scorecard, a resource for in-depth product reviews based on exclusive hands-on testing, a contributor to Information Week, and the author of several books including Successful Business Intelligence: Unlock the Value of BI & Big Data and SAP BusinessObjects BI 4.0: The Complete Reference.  She served as The Data Warehousing Institute (TDWI) faculty member for more than a decade.  Prior to founding BI Scorecard, Howson was a manager at Deloitte & Touche and a BI standards leader for Dow Chemical in Switzerland.

Sibel Atasoy Wuersch, Cindi Howson
Sibel Atasoy Wuersch, Cindi Howson
Vortrag: CSmi2
13:15 - 13:45
CSmi3
Case Study: Dataiku | Mastering Data and AI with Dataiku
Case Study: Dataiku | Mastering Data and AI with Dataiku

Shamim works as a Senior Data Engineer at Data Reply. He specializes in building Data Pipelines, Data Lakes and  Kubernetes architecture and development. He has also worked on building end to end Machine Learning pipelines for production-grade machine learning applications.
 

Shamim Ahmed
Shamim Ahmed
Vortrag: CSmi3
13:15 - 13:45
CSmi4
Case Study: BARC - Supercharge Your Data Knowledge with Agile Data Intelligence
Case Study: BARC - Supercharge Your Data Knowledge with Agile Data Intelligence

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 while increasing flexibility and agility. It also aims to simplify data access and use, especially for business users.

Our survey (BARC Data Black Holes, 2021) concludes that it is mainly a lack of available documentation and explicit knowledge  that stands in the way of achieving these goals. Such explicit knowledge is available extensively in the organization, namely in the form of metadata, but collecting metadata is a difficult and time-consuming process. Without a smart and automated approach, it is doomed to fail. This is where Agile Data Intelligence comes in. Similar to how Data Fabric helps stitch together the organization's business data landscape, agile data intelligence is the corresponding metadata fabric. In this presentation, we'll talk about Agile Data Intelligence's three core capabilities for building a Metadata Fabric. They lend a Data Intelligence Platform the necessary agility to be operated effectively and efficiently.

Timm Grosser is a Senior Analyst Data & Analytics at the Business Application Research Center (BARC) with a focus on Data & Analytics.

His core competencies are the definition of data & analytics strategies, data governance, organization, architecture and tool selection. He is a well-known speaker at conferences and seminars and author of numerous BARC market studies and professional articles.

Ramesh Shurma is the founder and CEO of Orion Governance Inc.  Prior to starting Orion, Ramesh developed his expertise by working in very data intensive environments as an enterprise architect, application architect, and senior consultant and programmer with a very strong business and technology focus.  His vertical market experience spans across Financial Services, Healthcare, Retail and Electronic Design Automation.  His Silicon Valley roots taught him the valuable lesson of innovation and customer service.  The motivation behind Orion was to solve a real-world need that most of the other companies had overlooked in favor of an unreliable manual approach.  The road less traveled, where people dared to tread, but was taken in the spirit of innovation, that is Orion Governance today.  Under his hard work, the team has grown to multiple millions in revenue in a short period of time.  He is fluent in multiple languages including French, Hindi and English.  His hobbies include aviation, traveling and having his three dogs take him on daily walks.

Timm Grosser, Ramesh Shurma
Timm Grosser, Ramesh Shurma
Vortrag: CSmi4
13:15 - 13:45
CSmi5
Case Study: RapidMiner | Our Data Science Journey at Sappi: From RCA to Auto Model Monitoring
Case Study: RapidMiner | Our Data Science Journey at Sappi: From RCA to Auto Model Monitoring

Data science lead with over 10 years’ experience helping global corporations extract business value by making decisions based on data.
Wide-ranging experience covering consumer analytics, digital marketing, personalized customer experiences, data management and machine learning.

In my current role leading a team of data scientists at Sappi, I am particularly interested in applying data science to optimize the papermaking process by reducing costs & waste, improving product quality, optimizing tasks and prolonging equipment lifespans.

Mark Bowe
Mark Bowe
Vortrag: CSmi5
15:30 - 16:15
KeyMi
KEYNOTE: VUCA-World on speed – keeping the promise of digitalization roadmaps in turbulent times
KEYNOTE: VUCA-World on speed – keeping the promise of digitalization roadmaps in turbulent times

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 individuals as well as societies and organizations. 

While climate change and pandemics seem to be part of the “new normal”, global conflicts get closer to the western world resulting in even more severe instabilities of supply chains, natural resource availabilities and much more - clearly stretching the long-held promise of a flourishing globalization. 

To avoid the “Uber yourself before you get Kodaked” pitfall, companies no matter what size are finding themselves coping with an environment that is certainly fiercer these days but at the same time allowing for new opportunities that need to be discovered and unlocked. But what’s the right strategy to capitalize on these opportunities if strategies itself are not even worth the paper written on? How to keep the pace with rapidly shortening technology lifecycles or tech innovations that don’t seem to deliver against their promise? Is it even worth to define comprehensive roadmaps on digital strategies and transformations? 

In his keynote, Thomas Kleine reflects on the value of defining digital roadmaps from a company perspective. He will incorporate not only his personal experiences but also refer to his employer’s journey over the last two years specifically propelled to the frontline of fighting the COVID-19 disease. What are the key learnings and what about the half-value time of these learnings if tomorrow comes with a completely different set of challenges? 

Since January 2017, Thomas Kleine has been CIO and Head of Digital at Pfizer Germany. He is a Master of Business Administration (MBA) and studied at the Universities of Osnabrück, Augsburg and Pittsburgh, PA. After graduating in 2001, he initially spent 5 years at KPMG Consulting/BearingPoint as a senior consultant before moving to Coca-Cola Germany in 2006. There he had various management positions within IT.

Thomas Kleine
Thomas Kleine
Track: Keynotes
Vortrag: KeyMi

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