In 2021 we´re doin´it twice! This year´s first DATA festival #online took place on March, 24th – 25th. Two days packed full of exciting presentations on #datamanagement, #datavisualisation and #AI. In summary around 2.000 registered participants watched presentations on topics like #dataarchitecture, #datastrategy, #datatools, #datascience. Watch the March-Program on demand down below and register for the upcoming DATA festival #online, Semptember 15th - 16th right here.

data.stage festival.stage
08:45
Opening DATA festival #online
Dr. Carsten Bange (BARC)
08:55
09:00
09:00
Democratizing AI
Dr. Carsten Bange (BARC) | Sebastian Hentzschel (BMG)
09:00
09:30
Keynote
Democratizing AIThe music economy today is largely digital. Advanced analytics is essential for talent scouting, sales prediction, marketing attribution, and revenue assurance. And yet, BMG has no data lab, has no data research team, does not have millions earmarked for AI development. BMG\\\'s approach to making use of advanced analytics is different. We believe that democratizing artificial intelligence knowledge and infrastructure is a sustainable approach to establishing a data-driven culture. We are working to empower business to use models and build its own analytical tools for improving the effectiveness and efficiency of its respective business function. We believe there are three essential prerequisites for making this approach work: (1) Fully utilizing cloud services, (2) staff training and upskilling, as well as (3) coordination and commitment. A lean but effective central data team can then focus on provisioning, documenting and governing required platforms, working with HR to build a specific data curriculum, as well as productionizing any tools that qualify for global rollout.
09:15
09:30
09:45
10:00
10:15
Selecting the Right Individual Actions via Uplift Modeling in Dataiku DSS
Vincent Rijnbeek (Dataiku) | Dr. Björn Höfer (Telefónica)
10:15
10:45
Computer Vision Use Cases – Development & Operation
Nico Becker (Alexander Thamm GmbH) | Peco Elenchevski (DB Systel)
10:15
10:45
10:30
10:45
Coffee Break
10:45
11:15
Coffee Break
10:45
11:15
11:00
11:15
Stream Opening
11:15
11:20

Real-time is the new BATCH - why convergence is a must-have for real-time analytics
Boris Bialek (MongoDB)
11:20
11:50
Real-time is the new BATCH - why convergence is a must-have for real-time analyticsNew business use cases are driving the need for real-time analysis and insights to take immediate action, make predictions, and provide exceptional customer experience. The legacy way of normalized data can’t cope with these convergent business needs for real-time personalization, customization or predictive maintenance - all built upon a “50 ms or less”-paradigm. This session introduces new business architectures that allow the transformation of siloed data to converged data domain design thinking incl. examples from retail, product substitution, payment fraud, and preventive maintenance.

Finding image duplicates with 'imagededup' python package!
Tanuj Jain (Axel Springer Ideas Engineering GmbH)
11:50
12:20
Finding image duplicates with 'imagededup' python package!Finding duplicates in an image collection is a recurring task for many image-related machine learning use cases. For example, presence of duplicates can create extreme biases in the evaluation of your ML model. imagededup is a python package that simplifies the task of finding exact and near duplicates. This package provides functionality to make use of hashing algorithms that are particularly good at finding exact duplicates as well as convolutional neural networks which are also adept at finding near duplicates. An evaluation framework is also provided to judge the quality of deduplication for a given dataset. The talk takes the user through the package functionality.

Data Trust at the core of your digital transformation
Jan Wetzke (Talend)
12:20
12:50
Data Trust at the core of your digital transformationDo you trust your data? . 60% of all companies admit that they have an unreliable overall data health, while 90% strive to be “data-driven”, to run efficient operations and to make timely and strategic decisions. How can we resolve this conflict? What are the challenges to build trust in data and how to overcome them? What if you could finally trust your data faster than the speed of digital, so that you can save millions and free your data workers from tedious, hand coding work that impedes innovation?  ​  In this session, discover how Talend can help you implementing an efficient data management & governance approach, to finally untap the value of all your data.

Lunch Break
12:50
13:50

Stream Opening
13:50
13:55

Energy.AI or how to decarbonize, decentralize and digitize our energy
Dr. Juan Bernabé Moreno (E.ON Digital Technology GmbH)
13:55
14:25
Energy.AI or how to decarbonize, decentralize and digitize our energyThe energy companies are indisputable players in shaping a sustainable tomorrow. Decarbonization, digitalization and decentralization are the top 3 driving forces that are transforming our energy world. The transformation journey is full of challenges of all kinds, but at the same time, we all feel the pressure of not having a plan B. In this journey, we have to find solutions to new problems, new solutions to old problems and constantly disrupt ourselves. Data and AI are one of the key enablers, one of the killer applications we have at hand. We can only succeed if we make the most of our data and intelligence and that\'s what we are doing every day. We want to show how E.ON is putting AI at the core where it matter the most, with real examples across all relevant areas, with tangible results and with a clear call to action. Let\'s create a better tomorrow.

Run for the Oceans: How to Grow the Audience Year Over Year
Pilar Moguel (adidas Runtastic)
14:25
14:55

Coffee Break
14:55
15:10

Operationalizing Data Science: Accelerating insights from the world’s data!
Dr. Florian Wenzel (Exasol)
15:10
15:40
Operationalizing Data Science: Accelerating insights from the world’s data!The rise of AI and ML as a competitive edge in business and industry is undoubted. To leverage these techniques, access to all the organization’s useable data is needed, making the data warehouse a critical part of automated decision-making.This is why Exasol,  with its cutting edge data warehousing and analysis features, can be the critical piece you’ve been missing to speed up and deliver AI and ML use cases in your organization. In this talk we are going to show you how our in-memory, columnar, MPP architecture speeds up time-to-insight significantly, how popular scripting languages like Python, R, Lua and Java are first class citizens inside Exasol’s database engine, how GPUs can turn “fast” into “even faster”, and how all this helps you operationalizing data science by applying trained models directly where your data lives. We will highlight these capabilities with use cases and demos.

How the big cloud HyperScalers are disrupting the data & analytics market
Gernot Molin (BARC)
15:40
16:10
How the big cloud HyperScalers are disrupting the data & analytics marketLike in many other places, there is also a clear trend towards cloud-computing in analytics and data management. The three big cloud HyperScalers (Google, Microsoft and Amazon) are pushing their cloud-based tools and services in the area of analytics and data platforms with intense focus and are dragging the entire analytics market into the cloud with them. Find out what strategic innovations lie behind the myriad of services and tools offered by these major HyperScalers. What gaps if any are left for other software vendors?

Closing
Dr. Carsten Bange (BARC)
16:10
16:15
Stream Opening
11:15
11:20

Data culture helps organizations shift to a people-centric approach
 Misko Flury (Tableau)
11:20
11:50
Data culture helps organizations shift to a people-centric approachDuring 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 sources of truth, that you can use to transform every level of business. Step into the world of Tableau and see how users can be enabled to discover new insights, taking advantage of the newest technologies and approach to understand the full impact of their analysis from the beginning to the end.

Implementing an AI Strategy in a Large Corporation: Case Study and Lesson's Learned
Jan Zawadzki (CARIAD – Automotive Software for Volkswagen)
11:50
12:20
Implementing an AI Strategy in a Large Corporation: Case Study and Lesson's LearnedArtificial Intelligence (AI) offers vast opportunities across industries and sectors. While traditional project or software management techniques have been around for decades, AI is new territory. According to a Gartner study, 85% of AI Projects are doomed to fail. How could that be and could we prevent our AI Project from failing? AI Projects differ from traditional software projects. First, brainstorming suitable AI Projects is an art in itself. Next, uncertainty and scoping issues surround almost every AI Project. Can this project really be done? And if it works out, how valuable will it be in the end? And if you come up with a really valuable but risky project, when should you skip or go for it? Finding answers to these questions is vital to securing your first and second steps with AI. This talk presents you with a practitioner’s approach to delivering AI Projects. The presentation will touch upon topics like finding and evaluating AI Projects and introduce tools like the Impact-Risk AI Matrix, AI Maturity Journey, and the AI Project Canvas.

Turning Data to Value – Let AI do the hard work!
Dr. Martin Hebach (Informatica)
12:20
12:50
Turning Data to Value – Let AI do the hard work!Today, Data is everywhere. It’s stored in databases and applications, on-prem and in the Cloud, it’s constantly created by systems, machines, websites and other feeds. How can you unlock value from all these data? The challenge for Data Analysts and Data Scientists is to find, understand, access and use relevant data for their analysis, prototyping and model training. This is where AI comes into play! Find out more by joining this session.

Lunch Break
12:50
13:50

Stream Opening
13:50
13:55

From Automation to Autonomy - How can AI help the industry?
Jan R. Seyler (Festo AG & Co. KG)
13:55
14:25
From Automation to Autonomy - How can AI help the industry?Automation will become Autonomy. AI techniques have the capability to support and accelerate this transformation. How exactly will be shown in this visionary talk based on today\'s use cases and future strategies for AI in industry automation.

So Playtime´s Over - Now What?
Clinton Etheridge (ibi, a TIBCO company)
14:25
14:55
So Playtime´s Over - Now What?In order to derive more value from your data, leveraging the innovations in Artificial Intelligence and Machine Learning, is the natural next step. Join us as we reveal how we address Data Science and bridge the associated gaps. We\\\'ll also share how our customers in Healthcare, Defence and Policing are maximising value from their data assets. Solutions built on our integrated end-to-end platform that is Source Agnostic, Destination Agnostic, and even Data Science Agnostic, is the key.

Coffee Break
14:55
15:10

Active Intelligence in Action – From Intelligent Data Analytics Pipelines to Real-Time Information and Immediate Actions
Riley MacDonald (Qlik)
15:10
15:40
Active Intelligence in Action – From Intelligent Data Analytics Pipelines to Real-Time Information and Immediate ActionsToday’s companies need to overcome traditional, passive BI by delivering a state of continuous intelligence from real-time, up-to-date information designed to trigger immediate actions. We call it “Active Intelligence”. Change Data Capture & Automated pipelines to gain analytics-ready information from all required data Uncover actionable insights with AI & natural language interaction Monitor performance indicators & trigger actions in real-time using the technology & cloud of your choice

AI Kickstart - from Hype to production in a few months (and beyond)
Jens Hütter (Ströer SE & Co. KGaA)
15:40
16:10
AI Kickstart - from Hype to production in a few months (and beyond)The biggest outdoor advertiser in Germany getting more digital every year. Of course with the products for our customers but also at the internal processes. Automation has many expressions, but AI is an important one. For us it solves questions like “how to anonymize more than 700.000 Pictures for GDPR?”, “do we really need to sort hundred Mails in info@ manually?” and many other cases. But successful cases are good for us, but maybe not relevant for everybody. In our session we want to show how we approached to solve 17 Cases of AI, RPA and BPM in the last year. We will show some cases, explain why we choosed them and what we had learned on the road. We want to share how we started, how we work and what the most valuable lessons in all this projects are. Sharing knowledge for more success.
11:30
11:45
12:00
12:15
12:30
12:45
13:00
13:15
13:30
13:45
14:00
14:15
14:30
14:45
15:00
15:15
15:30
15:45
16:00

data.stage

festival.stage

data.stage festival.stage
15:00
Active Intelligence in Action – From Intelligent Data Analytics Pipelines to Real-Time Information and Immediate ActionsToday’s companies need to overcome traditional, passive BI by delivering a state of continuous intelligence from real-time, up-to-date information designed to trigger immediate actions. We call it “Active Intelligence”. Change Data Capture & Automated pipelines to gain analytics-ready information from all required data Uncover actionable insights with AI & natural language interaction Monitor performance indicators & trigger actions in real-time using the technology & cloud of your choice
15:15
15:30
data.stage festival.stage
15:30
AI Kickstart - from Hype to production in a few months (and beyond)
Jens Hütter (Ströer SE & Co. KGaA)
15:40
16:10
AI Kickstart - from Hype to production in a few months (and beyond)The biggest outdoor advertiser in Germany getting more digital every year. Of course with the products for our customers but also at the internal processes. Automation has many expressions, but AI is an important one. For us it solves questions like “how to anonymize more than 700.000 Pictures for GDPR?”, “do we really need to sort hundred Mails in info@ manually?” and many other cases. But successful cases are good for us, but maybe not relevant for everybody. In our session we want to show how we approached to solve 17 Cases of AI, RPA and BPM in the last year. We will show some cases, explain why we choosed them and what we had learned on the road. We want to share how we started, how we work and what the most valuable lessons in all this projects are. Sharing knowledge for more success.
15:45
16:00
data.stage festival.stage
16:00
Closing
Dr. Carsten Bange (BARC)
16:10
16:15

data.stage

data.stage festival.stage
10:45
Coffee Break
10:45
11:15
Coffee Break
10:45
11:15
11:00
11:15
11:30
11:45
12:00
12:15
12:30
12:45
13:00
13:15
13:30
13:45
14:00
14:15
14:30
14:45
Coffee Break
14:55
15:10
15:00

data.stage

festival.stage

data.stage festival.stage
14:45
Coffee Break
14:55
15:10
15:00

festival.stage

  • Coffee Break
    14:55 - 15:10
data.stage festival.stage
10:15
Computer Vision Use Cases – Development & Operation
Nico Becker (Alexander Thamm GmbH) | Peco Elenchevski (DB Systel)
10:15
10:45
10:30
data.stage festival.stage
11:15
Data culture helps organizations shift to a people-centric approachDuring 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 sources of truth, that you can use to transform every level of business. Step into the world of Tableau and see how users can be enabled to discover new insights, taking advantage of the newest technologies and approach to understand the full impact of their analysis from the beginning to the end.
11:30
11:45
data.stage festival.stage
12:15
Data Trust at the core of your digital transformationDo you trust your data? . 60% of all companies admit that they have an unreliable overall data health, while 90% strive to be “data-driven”, to run efficient operations and to make timely and strategic decisions. How can we resolve this conflict? What are the challenges to build trust in data and how to overcome them? What if you could finally trust your data faster than the speed of digital, so that you can save millions and free your data workers from tedious, hand coding work that impedes innovation?  ​  In this session, discover how Talend can help you implementing an efficient data management & governance approach, to finally untap the value of all your data.
12:30
12:45
data.stage festival.stage
14:15
Run for the Oceans: How to Grow the Audience Year Over Year
Pilar Moguel (adidas Runtastic)
14:25
14:55
14:30
14:45
data.stage festival.stage
11:45
Implementing an AI Strategy in a Large Corporation: Case Study and Lesson's Learned
Jan Zawadzki (CARIAD – Automotive Software for Volkswagen)
11:50
12:20
Implementing an AI Strategy in a Large Corporation: Case Study and Lesson's LearnedArtificial Intelligence (AI) offers vast opportunities across industries and sectors. While traditional project or software management techniques have been around for decades, AI is new territory. According to a Gartner study, 85% of AI Projects are doomed to fail. How could that be and could we prevent our AI Project from failing? AI Projects differ from traditional software projects. First, brainstorming suitable AI Projects is an art in itself. Next, uncertainty and scoping issues surround almost every AI Project. Can this project really be done? And if it works out, how valuable will it be in the end? And if you come up with a really valuable but risky project, when should you skip or go for it? Finding answers to these questions is vital to securing your first and second steps with AI. This talk presents you with a practitioner’s approach to delivering AI Projects. The presentation will touch upon topics like finding and evaluating AI Projects and introduce tools like the Impact-Risk AI Matrix, AI Maturity Journey, and the AI Project Canvas.
12:00
12:15
data.stage festival.stage
09:00
Democratizing AI
Dr. Carsten Bange (BARC) | Sebastian Hentzschel (BMG)
09:00
09:30
Keynote
Democratizing AIThe music economy today is largely digital. Advanced analytics is essential for talent scouting, sales prediction, marketing attribution, and revenue assurance. And yet, BMG has no data lab, has no data research team, does not have millions earmarked for AI development. BMG\\\'s approach to making use of advanced analytics is different. We believe that democratizing artificial intelligence knowledge and infrastructure is a sustainable approach to establishing a data-driven culture. We are working to empower business to use models and build its own analytical tools for improving the effectiveness and efficiency of its respective business function. We believe there are three essential prerequisites for making this approach work: (1) Fully utilizing cloud services, (2) staff training and upskilling, as well as (3) coordination and commitment. A lean but effective central data team can then focus on provisioning, documenting and governing required platforms, working with HR to build a specific data curriculum, as well as productionizing any tools that qualify for global rollout.
09:15

data.stage

data.stage festival.stage
13:45
Energy.AI or how to decarbonize, decentralize and digitize our energy
Dr. Juan Bernabé Moreno (E.ON Digital Technology GmbH)
13:55
14:25
Energy.AI or how to decarbonize, decentralize and digitize our energyThe energy companies are indisputable players in shaping a sustainable tomorrow. Decarbonization, digitalization and decentralization are the top 3 driving forces that are transforming our energy world. The transformation journey is full of challenges of all kinds, but at the same time, we all feel the pressure of not having a plan B. In this journey, we have to find solutions to new problems, new solutions to old problems and constantly disrupt ourselves. Data and AI are one of the key enablers, one of the killer applications we have at hand. We can only succeed if we make the most of our data and intelligence and that\'s what we are doing every day. We want to show how E.ON is putting AI at the core where it matter the most, with real examples across all relevant areas, with tangible results and with a clear call to action. Let\'s create a better tomorrow.
14:00
14:15
data.stage festival.stage
11:45
Finding image duplicates with 'imagededup' python package!
Tanuj Jain (Axel Springer Ideas Engineering GmbH)
11:50
12:20
Finding image duplicates with 'imagededup' python package!Finding duplicates in an image collection is a recurring task for many image-related machine learning use cases. For example, presence of duplicates can create extreme biases in the evaluation of your ML model. imagededup is a python package that simplifies the task of finding exact and near duplicates. This package provides functionality to make use of hashing algorithms that are particularly good at finding exact duplicates as well as convolutional neural networks which are also adept at finding near duplicates. An evaluation framework is also provided to judge the quality of deduplication for a given dataset. The talk takes the user through the package functionality.
12:00
12:15
data.stage festival.stage
13:45
From Automation to Autonomy - How can AI help the industry?
Jan R. Seyler (Festo AG & Co. KG)
13:55
14:25
From Automation to Autonomy - How can AI help the industry?Automation will become Autonomy. AI techniques have the capability to support and accelerate this transformation. How exactly will be shown in this visionary talk based on today\'s use cases and future strategies for AI in industry automation.
14:00
14:15
data.stage festival.stage
15:30
How the big cloud HyperScalers are disrupting the data & analytics marketLike in many other places, there is also a clear trend towards cloud-computing in analytics and data management. The three big cloud HyperScalers (Google, Microsoft and Amazon) are pushing their cloud-based tools and services in the area of analytics and data platforms with intense focus and are dragging the entire analytics market into the cloud with them. Find out what strategic innovations lie behind the myriad of services and tools offered by these major HyperScalers. What gaps if any are left for other software vendors?
15:45
16:00
data.stage festival.stage
14:15
So Playtime´s Over - Now What?
Clinton Etheridge (ibi, a TIBCO company)
14:25
14:55
So Playtime´s Over - Now What?In order to derive more value from your data, leveraging the innovations in Artificial Intelligence and Machine Learning, is the natural next step. Join us as we reveal how we address Data Science and bridge the associated gaps. We\\\'ll also share how our customers in Healthcare, Defence and Policing are maximising value from their data assets. Solutions built on our integrated end-to-end platform that is Source Agnostic, Destination Agnostic, and even Data Science Agnostic, is the key.
14:30
14:45

festival.stage

data.stage festival.stage
12:45
Lunch Break
12:50
13:50
Lunch Break
12:50
13:50
13:00
13:15
13:30
13:45

data.stage

festival.stage

data.stage festival.stage
08:45
Opening DATA festival #online
Dr. Carsten Bange (BARC)
08:55
09:00

data.stage

data.stage festival.stage
15:00
Operationalizing Data Science: Accelerating insights from the world’s data!The rise of AI and ML as a competitive edge in business and industry is undoubted. To leverage these techniques, access to all the organization’s useable data is needed, making the data warehouse a critical part of automated decision-making.This is why Exasol,  with its cutting edge data warehousing and analysis features, can be the critical piece you’ve been missing to speed up and deliver AI and ML use cases in your organization. In this talk we are going to show you how our in-memory, columnar, MPP architecture speeds up time-to-insight significantly, how popular scripting languages like Python, R, Lua and Java are first class citizens inside Exasol’s database engine, how GPUs can turn “fast” into “even faster”, and how all this helps you operationalizing data science by applying trained models directly where your data lives. We will highlight these capabilities with use cases and demos.
15:15
15:30
data.stage festival.stage
11:15
Real-time is the new BATCH - why convergence is a must-have for real-time analyticsNew business use cases are driving the need for real-time analysis and insights to take immediate action, make predictions, and provide exceptional customer experience. The legacy way of normalized data can’t cope with these convergent business needs for real-time personalization, customization or predictive maintenance - all built upon a “50 ms or less”-paradigm. This session introduces new business architectures that allow the transformation of siloed data to converged data domain design thinking incl. examples from retail, product substitution, payment fraud, and preventive maintenance.
11:30
11:45
data.stage festival.stage
10:15
Selecting the Right Individual Actions via Uplift Modeling in Dataiku DSS
Vincent Rijnbeek (Dataiku) | Dr. Björn Höfer (Telefónica)
10:15
10:45
10:30
data.stage festival.stage
11:15
Stream Opening
11:15
11:20
Stream Opening
11:15
11:20
11:30
11:45
12:00
12:15
12:30
12:45
13:00
13:15
13:30
13:45
Stream Opening
13:50
13:55
Stream Opening
13:50
13:55

data.stage

festival.stage

data.stage festival.stage
12:15
Turning Data to Value – Let AI do the hard work!
Dr. Martin Hebach (Informatica)
12:20
12:50
Turning Data to Value – Let AI do the hard work!Today, Data is everywhere. It’s stored in databases and applications, on-prem and in the Cloud, it’s constantly created by systems, machines, websites and other feeds. How can you unlock value from all these data? The challenge for Data Analysts and Data Scientists is to find, understand, access and use relevant data for their analysis, prototyping and model training. This is where AI comes into play! Find out more by joining this session.
12:30
12:45
No events available!
data.stage festival.stage
08:45
Opening DATA festival #online Day 2
Dr. Carsten Bange (BARC)
08:55
09:00
09:00
AI 2.0
Dr. Florian Leser (ADAC SE) | Alexander Thamm (Alexander Thamm GmbH)
09:00
09:30
09:15
09:30
09:45
10:00
10:15
10:30
10:45
Coffee Break
10:45
11:15
Coffee Break
10:45
11:15
11:00
11:15
Stream Opening
11:15
11:20

Sail GP: Powered by the Wind, Oracle Cloud and Data Science
Michael Connaughton (Oracle)
11:20
11:50
Sail GP: Powered by the Wind, Oracle Cloud and Data ScienceMike Connaughton will share how Sail GP - the world’s newest racing yachts competition - use data, analytics and data science to deliver real time actionable insights to the sailors and their teams. This is a story about enhanced decision making and the teams’ mission to make the world’s fastest racing yachts go that little bit faster.

Convert Data Silos to a Data Driven Company, an Enterprise Journey
Mohammad Sharifan (Deutsche Telekom AG)
11:50
12:20

Lunch Break
12:20
13:20

Stream Opening
13:20
13:25

The Logical Data Warehouse Architecture – a high performance alternative to a physical DWH?
Thomas Niewel (Denodo)
13:25
13:55
The Logical Data Warehouse Architecture – a high performance alternative to a physical DWH?Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions. And what about performance?” is usually the first question when talking about data virtualization. In this session, you will learn: - What is logical data warehouse and how to architect one - How Data Virtualization provides speed with agility to a logical DHW

Adding business value through data utilization: Don't rely on fancy ML algorithms. What counts is a smart approach
Alexander Diergarten (Cluno GmbH) | Marouen Hizaoui (Cluno GmbH)
13:55
14:25
Adding business value through data utilization: Don't rely on fancy ML algorithms. What counts is a smart approachThe purchase of the right vehicles in the right quantity and the matching of potential customers with the most convenient available vehicles. As for every data intensive project, using state of the art machine learning techniques is very tempting. Unfortunately, in theory this is often easier said than done. Even though we have the necessary data infrastructure and machine learning expertise, the amount of data collected over the two years of Cluno existence and its quality prevents us from leveraging the fanciest techniques. Under these conditions, our Data Science team had to get extra creative in order to distill as much intelligence as possible from the existing data and to support our different departments enabling Cluno to be one of the car subscription leaders it is today - without losing ourselves in the depths of the most complex machine learning algorithms.


Coffee Break
14:55
15:10


Closing
Dr. Carsten Bange
15:55
16:00
Stream Opening
11:15
11:20

When will your customers pay their bills? From forecasting to process integration
Kevin Jilg (Blanc und Fischer IT Services GmbH) | Stephan Schnieber (IBM Germany)
11:20
11:50
When will your customers pay their bills? From forecasting to process integrationDo you know when your customers will pay their bills? Depending on your business this can be a tough question. Maybe for some of them, but can you also write it down for every one of your hundreds or thousands or even more customers, so it can be automatically estimated? Why should I, you may ask. The reason why companies do not get bust, is because they can pay their liabilities. So the financial accounting has to know what is going in and what is going out in the next few weeks to ensure enough liquidity to keep the business running - but you probably also do not want to raise liquidity if not needed as it can be expensive. The missing key here is that you as a company only have very little influence on when your customers will pay as it is their decision and out of your control. Of course, you agreed on payment terms, but these may cover several weeks between different payment targets which leads to inaccurate cash forecasts if you simply assume the net due date as the date of payment receipt. We know the payment terms and when previous bills were paid. So, how can we improve cash forecasting? Following the Cross-Industry Standard Process for Data Mining (CRISP-DM) different time-to-event and regression models were evaluated and deployed. We will discuss the challenges of delivering these new-found insights to the business department and integrating it into the system landscape and the cash forecasting process.

Wonder why your AI investments fail? Here’s why.
Anna Metsäranta (Solita)
11:50
12:20
Wonder why your AI investments fail? Here’s why.Even up to 85% of AI initiatives fail to deliver their promises to the business. While each initiative has its unique challenges, there are certain common factors that seem to lead to failed AI investments. Join this session to hear about: The eight common pitfalls of AI initiatives A framework for tackling them A case example: How a leading Finnish telecommunications company is increasing the success rate of their AI initiative

Lunch Break
12:20
13:20

Stream Opening
13:20
13:25

How Julius Baer drives value with data
Paul Dietrich (Collibra) | David Power (Julius Baer)
13:25
13:55
How Julius Baer drives value with dataIn the current environment, it is more important than ever to demonstrate tangible business value of data programs. Join this session for a framework you can use to identify the data use cases that will make the most impact on your business, and to learn how Julius Baer focuses on value to unlock the power of data.

Boost Agility, Restrain Risk: The Might of MLOps
Alexander Rode (BARC)
13:55
14:25
Boost Agility, Restrain Risk: The Might of MLOpsWhat is MLOps, can I buy it? Why might MLOps be of interest to me and what benefits could I derive from it? This presentation aims to provide answers to these questions from a strategic perspective and to encourage greater consideration of this topic in plans to implement machine learning.
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data.stage festival.stage
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Adding business value through data utilization: Don't rely on fancy ML algorithms. What counts is a smart approachThe purchase of the right vehicles in the right quantity and the matching of potential customers with the most convenient available vehicles. As for every data intensive project, using state of the art machine learning techniques is very tempting. Unfortunately, in theory this is often easier said than done. Even though we have the necessary data infrastructure and machine learning expertise, the amount of data collected over the two years of Cluno existence and its quality prevents us from leveraging the fanciest techniques. Under these conditions, our Data Science team had to get extra creative in order to distill as much intelligence as possible from the existing data and to support our different departments enabling Cluno to be one of the car subscription leaders it is today - without losing ourselves in the depths of the most complex machine learning algorithms.
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data.stage festival.stage
09:00
AI 2.0
Dr. Florian Leser (ADAC SE) | Alexander Thamm (Alexander Thamm GmbH)
09:00
09:30
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data.stage

data.stage festival.stage
13:45
Boost Agility, Restrain Risk: The Might of MLOpsWhat is MLOps, can I buy it? Why might MLOps be of interest to me and what benefits could I derive from it? This presentation aims to provide answers to these questions from a strategic perspective and to encourage greater consideration of this topic in plans to implement machine learning.
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data.stage festival.stage
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data.stage festival.stage
15:45
Closing
Dr. Carsten Bange
15:55
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data.stage

data.stage festival.stage
10:45
Coffee Break
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Coffee Break
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Coffee Break
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data.stage

festival.stage

data.stage festival.stage
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Convert Data Silos to a Data Driven Company, an Enterprise Journey
Mohammad Sharifan (Deutsche Telekom AG)
11:50
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data.stage festival.stage
13:15
How Julius Baer drives value with data
Paul Dietrich (Collibra) | David Power (Julius Baer)
13:25
13:55
How Julius Baer drives value with dataIn the current environment, it is more important than ever to demonstrate tangible business value of data programs. Join this session for a framework you can use to identify the data use cases that will make the most impact on your business, and to learn how Julius Baer focuses on value to unlock the power of data.
13:30
13:45

festival.stage

data.stage festival.stage
12:15
Lunch Break
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Lunch Break
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data.stage

festival.stage

data.stage festival.stage
08:45
Opening DATA festival #online Day 2
Dr. Carsten Bange (BARC)
08:55
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data.stage

data.stage festival.stage
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data.stage festival.stage
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Sail GP: Powered by the Wind, Oracle Cloud and Data ScienceMike Connaughton will share how Sail GP - the world’s newest racing yachts competition - use data, analytics and data science to deliver real time actionable insights to the sailors and their teams. This is a story about enhanced decision making and the teams’ mission to make the world’s fastest racing yachts go that little bit faster.
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data.stage festival.stage
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Stream Opening
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Stream Opening
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Stream Opening
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Stream Opening
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data.stage

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data.stage festival.stage
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The Logical Data Warehouse Architecture – a high performance alternative to a physical DWH?Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions. And what about performance?” is usually the first question when talking about data virtualization. In this session, you will learn: - What is logical data warehouse and how to architect one - How Data Virtualization provides speed with agility to a logical DHW
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data.stage festival.stage
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data.stage festival.stage
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When will your customers pay their bills? From forecasting to process integration
Kevin Jilg (Blanc und Fischer IT Services GmbH) | Stephan Schnieber (IBM Germany)
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When will your customers pay their bills? From forecasting to process integrationDo you know when your customers will pay their bills? Depending on your business this can be a tough question. Maybe for some of them, but can you also write it down for every one of your hundreds or thousands or even more customers, so it can be automatically estimated? Why should I, you may ask. The reason why companies do not get bust, is because they can pay their liabilities. So the financial accounting has to know what is going in and what is going out in the next few weeks to ensure enough liquidity to keep the business running - but you probably also do not want to raise liquidity if not needed as it can be expensive. The missing key here is that you as a company only have very little influence on when your customers will pay as it is their decision and out of your control. Of course, you agreed on payment terms, but these may cover several weeks between different payment targets which leads to inaccurate cash forecasts if you simply assume the net due date as the date of payment receipt. We know the payment terms and when previous bills were paid. So, how can we improve cash forecasting? Following the Cross-Industry Standard Process for Data Mining (CRISP-DM) different time-to-event and regression models were evaluated and deployed. We will discuss the challenges of delivering these new-found insights to the business department and integrating it into the system landscape and the cash forecasting process.
11:30
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data.stage festival.stage
11:45
Wonder why your AI investments fail? Here’s why.
Anna Metsäranta (Solita)
11:50
12:20
Wonder why your AI investments fail? Here’s why.Even up to 85% of AI initiatives fail to deliver their promises to the business. While each initiative has its unique challenges, there are certain common factors that seem to lead to failed AI investments. Join this session to hear about: The eight common pitfalls of AI initiatives A framework for tackling them A case example: How a leading Finnish telecommunications company is increasing the success rate of their AI initiative
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No events available!