data.stage festival.stage
08:45
Opening
Alexander Thamm, CEO, Alexander Thamm GmbH | Dr. Carsten Bange, CEO, BARC GmbH
08:55 - 09:00
09:00
Data products: Success factors for development, operationalization, scaling and monetization
Dr. Carsten Bange (Founder and CEO, BARC), Dr. Alexander Borek (Global Head of Data, Analytics & AI, Volkswagen Financial Services)
09:00 - 09:30
Data products: Success factors for development, operationalization, scaling and monetizationData products are data and machine learning intensive software applications and thus the essential deliverables of many Data, Analytics & AI units in companies.
09:15
09:30
Psychographic User Segmentation Based Model to Overcome One-Size-Fits-All
Marc Roulet (XING GmbH & Co. KG), Michael Horn (XING GmbH & Co. KG)
09:30 - 10:00
Psychographic User Segmentation Based Model to Overcome One-Size-Fits-AllXING has a vast data pool of user activity of their 16 million registered users and their activity on the site, but as many other companies struggles to extract the desired value out of the large available dataset. In this project XING used a three step approach to increase relevance of its content across marketing and product development...
09:45
10:00
Discussion: Bridging the gap between academia and real-world AI
Prof. Dr. Patrick Glauner (Deggendorf Institute of Technology), Prof. Dr. Peer Kröger (LMU München), Alexander Thamm (Alexander Thamm GmbH)
10:00 - 10:45
Discussion: Bridging the gap between academia and real-world AIAn increasing number of companies have started to turn AI research works into business models in recent years. There is, however, still a big gap between academia and real-world requirements. In this session, we will discuss how to bridge this gap, so that AI adds more value to companies. We will specifically discuss what modern AI curricula need to include.
10:15
10:30
10:45
Coffee Break
10:45 - 11:15
Coffee Break
10:45 - 11:15
11:00
11:15
ALTERYX
11:15 - 11:45
ALTERYXALTERYX
Deep Learning for Forgery Detection in Videos (Deepfakes, Face2Face)With recent developments in AI, it is now possible to create high quality fake videos that look extremely realistic. This has positive applications in computer graphics, but on the other hand this can also have dangerous implications on society as in political propaganda and for public shaming. Even if we have a reliable detector(classifier) for one forgery, it is still unsure that it will work on a different forgery. This works aims to address this problem, transferability among different forgeries. My talk will focus on how to build a single model that detects most of the forgeries surfacing the internet.
11:30
11:45
IODATA
11:45 - 12:15
IODATA
Physicians in the loop: neuropathologists in the field of deep learning
Samir Jabari (Institute for Neuropathology, University Hospitals Erlangen), Joshua Kubach (Friedrich Alexander University Erlangen Nürnberg)
11:45 - 12:15
Physicians in the loop: neuropathologists in the field of deep learningNeuropathology remains a periphery in the field of digital medicine and especially deep learning. The use of automated assistance systems in neuropathological diagnostics is still pretty poorly developed or not even existent at all in the day to day work. Neuropathologists still look at tissue through microscopes. However, our research group enters the field of digital neuropathology from the side of physicians bringing pathogenetic, pathophysiologic and histologic insight to the table. Our goal is to base our work on intuitions and problems in routine neuropathologic work-up to enhance clinicopathologic decision making and research...
12:00
12:15
Machine Learning & Production Readiness - Why Operations of ML is differentTesting and monitoring are essential for stable machine learning solutions in operations. So far, however, only a few companies have transferred machine learning prototypes into operational use. Accordingly, there is little experience as to which tests are important and how exactly monitoring should t
12:30
12:45
The Beltracchi Code - the forger of the century has misled dozens of (human) expertsPainter classification is a well-known research field in academic AI. The project presented here not only predicts artists with an accuracy of more than 90 percent but also levels out huge class imbalances. The main is to detect fake or counterfeit images. Two approaches are pursued. Firstly, 160 images from the “century-counterfeiter” Wolfgan
13:00
13:15
Lunch Break
13:15 - 14:15
Lunch Break
13:15 - 14:15
13:30
13:45
14:00
14:15
The Do's and Don'ts of Delivering AI Projects: A Practitioners Guide
Jan Zawadzki (Volkswagen AG - Car.SwOrg)
14:15 - 14:45
The Do's and Don'ts of Delivering AI Projects: A Practitioners GuideArtificial 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...
14:30
14:45
Data from 140 years - digitized and accessible in real-time
Andreas Kohlmaier (Munich Re)
14:45 - 15:15
Data from 140 years - digitized and accessible in real-timeAs leading reinsurer Munich Re has access to risk-related data across the globe since 140 years. Join Andreas on Munich Re`s data journey and follow him through blood, sweat & tears from the first use cases in 2014 to the consequent use of AI for Data Management and a smart sourcing strategy for Data Ops in 2020.
15:00
15:15
Vehicle Data Anonymization & Analytics Show Case
Rosina Kazakova (Porsche AG)
15:15 - 15:45
Vehicle Data Anonymization & Analytics Show CaseData analytics and data protection are two very important factors for the economic success of companies. Both topics are not mutually exclusive, but must be considered together for successful implementation.
15:30
15:45
Coffee Break
15:45 - 16:15
Coffee Break
15:45 - 16:15
16:00
16:15
Panel - How does Germany position itself across industries in the field of AI?
Alexander Thamm (Moderation), Marcel Kling, Holger Kömm, Armin Strbac, Wolfgang Hauner, Andreas Kohlmaier
16:15 - 17:00
16:30
16:45
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
Lunch Break
13:15 - 14:15
Lunch Break
13:15 - 14:15
13:30
13:45
14:00
14:15
14:30
14:45
15:00
15:15
15:30
15:45
Coffee Break
15:45 - 16:15
Coffee Break
15:45 - 16:15
16:00

data.stage

  • Coffee Break
    10:45 - 11:15
  • Lunch Break
    13:15 - 14:15
  • Coffee Break
    15:45 - 16:15

festival.stage

  • Coffee Break
    10:45 - 11:15
  • Lunch Break
    13:15 - 14:15
  • Coffee Break
    15:45 - 16:15
data.stage festival.stage
08:45
Opening
Alexander Thamm, CEO, Alexander Thamm GmbH | Dr. Carsten Bange, CEO, BARC GmbH
08:55 - 09:00
09:00
Data products: Success factors for development, operationalization, scaling and monetization
Dr. Carsten Bange (Founder and CEO, BARC), Dr. Alexander Borek (Global Head of Data, Analytics & AI, Volkswagen Financial Services)
09:00 - 09:30
Data products: Success factors for development, operationalization, scaling and monetizationData products are data and machine learning intensive software applications and thus the essential deliverables of many Data, Analytics & AI units in companies.
09:15
09:30
Psychographic User Segmentation Based Model to Overcome One-Size-Fits-All
Marc Roulet (XING GmbH & Co. KG), Michael Horn (XING GmbH & Co. KG)
09:30 - 10:00
Psychographic User Segmentation Based Model to Overcome One-Size-Fits-AllXING has a vast data pool of user activity of their 16 million registered users and their activity on the site, but as many other companies struggles to extract the desired value out of the large available dataset. In this project XING used a three step approach to increase relevance of its content across marketing and product development...
09:45
10:00
Discussion: Bridging the gap between academia and real-world AI
Prof. Dr. Patrick Glauner (Deggendorf Institute of Technology), Prof. Dr. Peer Kröger (LMU München), Alexander Thamm (Alexander Thamm GmbH)
10:00 - 10:45
Discussion: Bridging the gap between academia and real-world AIAn increasing number of companies have started to turn AI research works into business models in recent years. There is, however, still a big gap between academia and real-world requirements. In this session, we will discuss how to bridge this gap, so that AI adds more value to companies. We will specifically discuss what modern AI curricula need to include.
10:15
10:30
10:45
Coffee Break
10:45 - 11:15
Coffee Break
10:45 - 11:15
11:00
11:15
ALTERYX
11:15 - 11:45
ALTERYXALTERYX
Deep Learning for Forgery Detection in Videos (Deepfakes, Face2Face)With recent developments in AI, it is now possible to create high quality fake videos that look extremely realistic. This has positive applications in computer graphics, but on the other hand this can also have dangerous implications on society as in political propaganda and for public shaming. Even if we have a reliable detector(classifier) for one forgery, it is still unsure that it will work on a different forgery. This works aims to address this problem, transferability among different forgeries. My talk will focus on how to build a single model that detects most of the forgeries surfacing the internet.
11:30
11:45
IODATA
11:45 - 12:15
IODATA
Physicians in the loop: neuropathologists in the field of deep learning
Samir Jabari (Institute for Neuropathology, University Hospitals Erlangen), Joshua Kubach (Friedrich Alexander University Erlangen Nürnberg)
11:45 - 12:15
Physicians in the loop: neuropathologists in the field of deep learningNeuropathology remains a periphery in the field of digital medicine and especially deep learning. The use of automated assistance systems in neuropathological diagnostics is still pretty poorly developed or not even existent at all in the day to day work. Neuropathologists still look at tissue through microscopes. However, our research group enters the field of digital neuropathology from the side of physicians bringing pathogenetic, pathophysiologic and histologic insight to the table. Our goal is to base our work on intuitions and problems in routine neuropathologic work-up to enhance clinicopathologic decision making and research...
12:00
12:15
Machine Learning & Production Readiness - Why Operations of ML is differentTesting and monitoring are essential for stable machine learning solutions in operations. So far, however, only a few companies have transferred machine learning prototypes into operational use. Accordingly, there is little experience as to which tests are important and how exactly monitoring should t
12:30
12:45
The Beltracchi Code - the forger of the century has misled dozens of (human) expertsPainter classification is a well-known research field in academic AI. The project presented here not only predicts artists with an accuracy of more than 90 percent but also levels out huge class imbalances. The main is to detect fake or counterfeit images. Two approaches are pursued. Firstly, 160 images from the “century-counterfeiter” Wolfgan
13:00
13:15
Lunch Break
13:15 - 14:15
Lunch Break
13:15 - 14:15
13:30
13:45
14:00
14:15
The Do's and Don'ts of Delivering AI Projects: A Practitioners Guide
Jan Zawadzki (Volkswagen AG - Car.SwOrg)
14:15 - 14:45
The Do's and Don'ts of Delivering AI Projects: A Practitioners GuideArtificial 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...
14:30
14:45
Data from 140 years - digitized and accessible in real-time
Andreas Kohlmaier (Munich Re)
14:45 - 15:15
Data from 140 years - digitized and accessible in real-timeAs leading reinsurer Munich Re has access to risk-related data across the globe since 140 years. Join Andreas on Munich Re`s data journey and follow him through blood, sweat & tears from the first use cases in 2014 to the consequent use of AI for Data Management and a smart sourcing strategy for Data Ops in 2020.
15:00
15:15
Vehicle Data Anonymization & Analytics Show Case
Rosina Kazakova (Porsche AG)
15:15 - 15:45
Vehicle Data Anonymization & Analytics Show CaseData analytics and data protection are two very important factors for the economic success of companies. Both topics are not mutually exclusive, but must be considered together for successful implementation.
15:30
15:45
Coffee Break
15:45 - 16:15
Coffee Break
15:45 - 16:15
16:00
16:15
Panel - How does Germany position itself across industries in the field of AI?
Alexander Thamm (Moderation), Marcel Kling, Holger Kömm, Armin Strbac, Wolfgang Hauner, Andreas Kohlmaier
16:15 - 17:00
16:30
16:45
No events available!