data.stage festival.stage
08:45
Opening DATA festival #online
Alexander Thamm, CEO, Alexander Thamm GmbH | Dr. Carsten Bange, CEO, BARC GmbH
08:55 - 09:00
09:00
Advancing Digital for a better world – how data and AI help us to tackle major problems of human kind
Alexander Thamm (Alexander Thamm GmbH), Abel Archundia Pineda (Bayer AG)
09:00 - 09:30
Keynote
09:15
09:30
Where can you get Data for your Smart City Analytics Cases?
Joachim Bürkle (DB Systel), Timo Maibach (Benz + Walter GmbH)
09:30 - 10:00
Where can you get Data for your Smart City Analytics Cases?In a smart city, modern technologies from the fields of energy, mobility, urban planning, administration and communication are networked in such a way that the quality of life for the residents increases. At the same time, the sustainability of the city benefits...
09:45
10:00
How to sell AI – Convincing stakeholders about the value of your next AI project (hosted by KI Bundesverband)
Steffen Konrath - Moderator (evAI Intelligence GmbH), Prof. Dr. Patrick Glauner, Alexander Thamm, Lucas Spreiter, Alexandra Zaitseva
10:00 - 10:45
How to sell AI – Convincing stakeholders about the value of your next AI project (hosted by KI Bundesverband)How do you effectively sell artificial intelligence beyond the hype surrounding the technology? How to provide clear, trustworthy and convincing evidence of the positive benefits AI can provide? No technology blah blah. Human intelligence has a functional purpose - to solve problems.
10:15
10:30
10:45
Coffee Break
10:45 - 11:15
Coffee Break
10:45 - 11:15
11:00
11:15
Alteryx as Connector and Multiplier: How to Foster Data Analytics and Digital Transformation
Tim Kessler (Siemens Energy) Paul Unger (Siemens Energy)
11:15 - 11:45
Alteryx as Connector and Multiplier: How to Foster Data Analytics and Digital TransformationSiemens Gas and Power Service is considering Alteryx as a scalable solution for self-service data analytics and process automation to foster innovation and the unstoppable change in culture and mindset. Especially by means of data democratization. Moreover, Siemens is using Alteryx not only as standalone tool for data analytics but also as a central connector to other digital solutions like RDA (Robotic Desktop Automation). 
Architecture for Data & Analytics - From Centralized Sluggishness to Distributed AgilityThe concept of the central data warehouse is obviously outdated: too slow, too inflexible. Neither can a data lake alone meet diverse analytics needs. A modern data & analytics architecture must not only ensure agility i
11:30
11:45
Adapting to Change: Discovering powerful insights through data analysis with TableauDuring these turbulent times many companies realize that being data-driven is crucially important. As a self-service analytics platform, Tableau helps you with everyday decision-making in an environment of governed, trusted
Evaluation and monitoring of AI initiatives with the help of Visual Analytics
Kai-Uwe Stahl (reportingimpulse GmbH) Anna Lindt (reportingimpulse GmbH)
11:45 - 12:15
Evaluation and monitoring of AI initiatives with the help of Visual AnalyticsThere are a variety of AI initiatives in companies. In this context, there is often the question of providing status updates that can show overview and success measurement of these initiatives.
12:00
12:15
Machine Learning & Apache Kafka: Bringing intelligent software to the next levelachine Learning (ML) is adding value: Customers are expecting information in real-time/proactively and critical use cases like fraud detection or predictive maintenance require prompt reactions. Apache Kafka is already the central nervous system in many companies and ML is an excellent addition! You will learn
12:30
12:45
Weather-based forecasting: How to improve sales planning using weather
Dr. Stefan Bornemann (wetter.com GmbH)
12:45 - 13:15
Weather-based forecasting: How to improve sales planning using weatherAccurate demand forecasting is a key business need. Demand models typically incorporate many demand factors like product, price, promotion, or season. The local weather, however, is one of the more crucial drivers in many consumer facing sectors such as retail, e-commerce, food & beverages, travel & tourism. Including weather in automated forecasting processes improves forecast accuracy, steadies operations and thereby reduces costly overstocking or revenue losses from out-of-stock situations. Smart weather-driven forecasting needs high-quality weather data as well as lots of experience in weather modelling. Dr. Stefan Bornemann, COO at wetter.com, will explain (i) which data and modelling techniques are used to create daily sales forecasts considering weather effects and (ii) which challenges occur when building an automated cloud-based forecasting solution for hundreds of products or locations.
Data Democratisation - Changing the game on how to collaborate with dataHear from Christoph Ferrari, Head of Data Engineering & Data Science at Runtastic, how the company puts the data into the hands of the business to enable making better decisions and empowering to build better products.
13:00
13:15
Lunch Break
13:15 - 14:15
Lunch Break
13:15 - 14:15
13:30
13:45
14:00
14:15
Bringing your SAP data to life Enable modern analytics with your SAP data on different environmentsThe digital age demands instant access to the information necessary for better decision-making, improved operations, optimized customer service and competitive advantage. With modern data integration, organizations should be able to achieve a model that delivers data in real time to any analytics environment. How you can achieve this, you will learn in our session including the success story of E. Breuninger GmbH & Co..
14:30
14:45
Why a real out of the box tech stack is the key to be able focusing on the real data challengesThe Keller Sports CIO Pola Baier will talk about how her company managed to go from relying on a MySQL Database and raw data exported into Excel to a modern data stack that saves a lot of time. With the combination of Fivetran, Snowflake and Tableau they saved about 20 hours a week in IT time and gave the Purchasing department 75% of their time back, they’ve previously spent on data work. Join the session and find out how you can overcome your challenges and build a scalable and reliable data stack as well.
MLOps, Governance and Trust
Andre Balleyguier (DataRobot)
14:45 - 15:15
MLOps, Governance and TrustHaving a good process to validate, deploy & operationalise models & then manage & monitor them in production is becoming more important to companies who are looking to scale their use of Machine Learning. Data Science teams need to have strong processes to ensure high standards model governance approved by IT & compliance functions: this is what we call MLOps. DataRobot will show why, what, & how you should think about MLOps, regardless of where models are built or where they’re deployed.
15:00
15:15
How to scale Data function in a fast-growing Organization?
Dr. Sébastien Foucaud (HRS Group)
15:15 - 15:45
How to scale Data function in a fast-growing Organization?In a fast-growing company like HRS, knowing how to use Data Analytics, Data Science and Machine-Learning is not only about hiring the right data people and work on the right problem but also how to setup the function and spread best knowledge and practices related to data and associated technology across the organization. In this talk I will use concrete examples of problems faced in setting up a large data function and how we are solving it at HRS.
Ethical AI
Dr. Scott Zoldi (Fico)
15:15 - 15:45
Ethical AIThe biggest threat AI poses today is not what we saw in science fiction films. It is the development of AI models by “cowboy” data scientists who do not understand best practices, & the use of AI by managers who do not understand the models they are deploying. Dr. Scott Zoldi, chief analytics officer at FICO will discuss the dangers posed by untrained data scientists, how to avoid AI bias, & how avoid becoming the next firm accused of letting machines make bad decisions.
15:30
15:45
Coffee Break
15:45 - 16:15
Coffee Break
15:45 - 16:15
16:00
16:15
Panel - AI Ethics: the good, the bad, the ugly
Carsten Bange (Moderation), Juan B. Moreno (E.ON Digital Technology GmbH), Jutta Meier (IDENTITY Valley), Peter Ould (FICO), Thomas Zeutschler (Henkel)
16:15 - 17:00
16:30
16:45

data.stage

festival.stage

data.stage festival.stage
08:45
Opening DATA festival #online
Alexander Thamm, CEO, Alexander Thamm GmbH | Dr. Carsten Bange, CEO, BARC GmbH
08:55 - 09:00
09:00
Advancing Digital for a better world – how data and AI help us to tackle major problems of human kind
Alexander Thamm (Alexander Thamm GmbH), Abel Archundia Pineda (Bayer AG)
09:00 - 09:30
Keynote
09:15
09:30
Where can you get Data for your Smart City Analytics Cases?
Joachim Bürkle (DB Systel), Timo Maibach (Benz + Walter GmbH)
09:30 - 10:00
Where can you get Data for your Smart City Analytics Cases?In a smart city, modern technologies from the fields of energy, mobility, urban planning, administration and communication are networked in such a way that the quality of life for the residents increases. At the same time, the sustainability of the city benefits...
09:45
10:00
How to sell AI – Convincing stakeholders about the value of your next AI project (hosted by KI Bundesverband)
Steffen Konrath - Moderator (evAI Intelligence GmbH), Prof. Dr. Patrick Glauner, Alexander Thamm, Lucas Spreiter, Alexandra Zaitseva
10:00 - 10:45
How to sell AI – Convincing stakeholders about the value of your next AI project (hosted by KI Bundesverband)How do you effectively sell artificial intelligence beyond the hype surrounding the technology? How to provide clear, trustworthy and convincing evidence of the positive benefits AI can provide? No technology blah blah. Human intelligence has a functional purpose - to solve problems.
10:15
10:30
10:45
Coffee Break
10:45 - 11:15
Coffee Break
10:45 - 11:15
11:00
11:15
Alteryx as Connector and Multiplier: How to Foster Data Analytics and Digital Transformation
Tim Kessler (Siemens Energy) Paul Unger (Siemens Energy)
11:15 - 11:45
Alteryx as Connector and Multiplier: How to Foster Data Analytics and Digital TransformationSiemens Gas and Power Service is considering Alteryx as a scalable solution for self-service data analytics and process automation to foster innovation and the unstoppable change in culture and mindset. Especially by means of data democratization. Moreover, Siemens is using Alteryx not only as standalone tool for data analytics but also as a central connector to other digital solutions like RDA (Robotic Desktop Automation). 
Architecture for Data & Analytics - From Centralized Sluggishness to Distributed AgilityThe concept of the central data warehouse is obviously outdated: too slow, too inflexible. Neither can a data lake alone meet diverse analytics needs. A modern data & analytics architecture must not only ensure agility i
11:30
11:45
Adapting to Change: Discovering powerful insights through data analysis with TableauDuring these turbulent times many companies realize that being data-driven is crucially important. As a self-service analytics platform, Tableau helps you with everyday decision-making in an environment of governed, trusted
Evaluation and monitoring of AI initiatives with the help of Visual Analytics
Kai-Uwe Stahl (reportingimpulse GmbH) Anna Lindt (reportingimpulse GmbH)
11:45 - 12:15
Evaluation and monitoring of AI initiatives with the help of Visual AnalyticsThere are a variety of AI initiatives in companies. In this context, there is often the question of providing status updates that can show overview and success measurement of these initiatives.
12:00
12:15
Machine Learning & Apache Kafka: Bringing intelligent software to the next levelachine Learning (ML) is adding value: Customers are expecting information in real-time/proactively and critical use cases like fraud detection or predictive maintenance require prompt reactions. Apache Kafka is already the central nervous system in many companies and ML is an excellent addition! You will learn
12:30
12:45
Weather-based forecasting: How to improve sales planning using weather
Dr. Stefan Bornemann (wetter.com GmbH)
12:45 - 13:15
Weather-based forecasting: How to improve sales planning using weatherAccurate demand forecasting is a key business need. Demand models typically incorporate many demand factors like product, price, promotion, or season. The local weather, however, is one of the more crucial drivers in many consumer facing sectors such as retail, e-commerce, food & beverages, travel & tourism. Including weather in automated forecasting processes improves forecast accuracy, steadies operations and thereby reduces costly overstocking or revenue losses from out-of-stock situations. Smart weather-driven forecasting needs high-quality weather data as well as lots of experience in weather modelling. Dr. Stefan Bornemann, COO at wetter.com, will explain (i) which data and modelling techniques are used to create daily sales forecasts considering weather effects and (ii) which challenges occur when building an automated cloud-based forecasting solution for hundreds of products or locations.
Data Democratisation - Changing the game on how to collaborate with dataHear from Christoph Ferrari, Head of Data Engineering & Data Science at Runtastic, how the company puts the data into the hands of the business to enable making better decisions and empowering to build better products.
13:00
13:15
Lunch Break
13:15 - 14:15
Lunch Break
13:15 - 14:15
13:30
13:45
14:00
14:15
Bringing your SAP data to life Enable modern analytics with your SAP data on different environmentsThe digital age demands instant access to the information necessary for better decision-making, improved operations, optimized customer service and competitive advantage. With modern data integration, organizations should be able to achieve a model that delivers data in real time to any analytics environment. How you can achieve this, you will learn in our session including the success story of E. Breuninger GmbH & Co..
14:30
14:45
Why a real out of the box tech stack is the key to be able focusing on the real data challengesThe Keller Sports CIO Pola Baier will talk about how her company managed to go from relying on a MySQL Database and raw data exported into Excel to a modern data stack that saves a lot of time. With the combination of Fivetran, Snowflake and Tableau they saved about 20 hours a week in IT time and gave the Purchasing department 75% of their time back, they’ve previously spent on data work. Join the session and find out how you can overcome your challenges and build a scalable and reliable data stack as well.
MLOps, Governance and Trust
Andre Balleyguier (DataRobot)
14:45 - 15:15
MLOps, Governance and TrustHaving a good process to validate, deploy & operationalise models & then manage & monitor them in production is becoming more important to companies who are looking to scale their use of Machine Learning. Data Science teams need to have strong processes to ensure high standards model governance approved by IT & compliance functions: this is what we call MLOps. DataRobot will show why, what, & how you should think about MLOps, regardless of where models are built or where they’re deployed.
15:00
15:15
How to scale Data function in a fast-growing Organization?
Dr. Sébastien Foucaud (HRS Group)
15:15 - 15:45
How to scale Data function in a fast-growing Organization?In a fast-growing company like HRS, knowing how to use Data Analytics, Data Science and Machine-Learning is not only about hiring the right data people and work on the right problem but also how to setup the function and spread best knowledge and practices related to data and associated technology across the organization. In this talk I will use concrete examples of problems faced in setting up a large data function and how we are solving it at HRS.
Ethical AI
Dr. Scott Zoldi (Fico)
15:15 - 15:45
Ethical AIThe biggest threat AI poses today is not what we saw in science fiction films. It is the development of AI models by “cowboy” data scientists who do not understand best practices, & the use of AI by managers who do not understand the models they are deploying. Dr. Scott Zoldi, chief analytics officer at FICO will discuss the dangers posed by untrained data scientists, how to avoid AI bias, & how avoid becoming the next firm accused of letting machines make bad decisions.
15:30
15:45
Coffee Break
15:45 - 16:15
Coffee Break
15:45 - 16:15
16:00
16:15
Panel - AI Ethics: the good, the bad, the ugly
Carsten Bange (Moderation), Juan B. Moreno (E.ON Digital Technology GmbH), Jutta Meier (IDENTITY Valley), Peter Ould (FICO), Thomas Zeutschler (Henkel)
16:15 - 17:00
16:30
16:45

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