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Jonathan Abend has been working for ZERO.ONE.DATA (the Big Data Startup of DB Systel GmbH) since 2016. His work covers the data life cycle from the integration of data to its analysis and the deployment of resulting services. Graduating from his master's degree in Industrial Engineering at the University of Applied Sciences Aschaffenburg, he has been working on the sizing of battery storage systems based on clustering and processing energy data (generation, load curves, customer data).
Jonathan Abend is speaker of the following session:
Senior Data Scientist
Rohit works as Senior Data Scientist in Mobisy Technologies Pvt Ltd, Bangalore, India where he leads a team of Data Scientists & Software Engineers, focusing on salesforce automation by applying state of the art ML & Deep Learning techniques. He has 12 years of industry experience with 11 years in GE where he worked on conceptualising, designing, prototyping a number of software & data solutions using cutting edge technologies for solving large industrial problems. As a hobby project, Rohit launched a website which aims at finding bus routes in Bangalore and is currently in top google search results. He has a Master's degree in IT from IIIT, Bangalore and a Bachelor’s degree in Computer Science from IET, Lucknow, India.
Rohit Agarwal is speaker of the following session:
Dr. Andreas Braun
Dr. Andreas Braun is Managing Director for Accenture’s Data Group in Europe to support clients to build and run end to end data supply chains to deliver actual business value from data and analytics. This comprehends e.g., compliance, data management and quality, protection/ GDPR. In addition, Andreas also heads up Accenture’s Applied Intelligence (AI) business in Germany, Austria, Switzerland.
Previously, Dr. Braun worked for Allianz SE where he conceptualized, built, and led the group competence center for Global Data & Analytics and Advanced Business Analytics, reporting into the group’s COO and Chief Digital Officer respectively. These roles comprised the design and implementation of use cases, digital innovation, building and running the Allianz Data Cloud for Allianz worldwide.
Before Allianz, Dr. Braun was the Global Head, Business Applications at GfK SE, the third largest market research company worldwide at the time. Andreas led more than 300 software engineers and data scientists globally and reported directly into the group’s CEO.
In the early 1990s, Andreas co-founded a software company focusing on image processing and sold his stakes to a US market player in 2000.
Andreas studied computer science and theoretical medicine at TU Munich and pursued a PhD in software architectures for artificial intelligence. Some recent publications can be found in Digital Marketplaces Unleashed, Springer, 2017, WirtschaftsWoche 2018, The Future of China, in Cancer Medicine, Wiley, cam4.1908, 2018, or the AI study for the State Government of Hessen, 2018.
Andreas is frequently consulting and speaking globally, e.g. at the European Commission and EU Parliament or as an advisor and member of the International Technology Advisory Board at the Monetary Authority of Singapore (MAS).
Dr. Andreas Braun is speaker of the following sessions:
Lead Software Developer
Benedikt Buer is the lead software developer at Homag Plattenaufteiltechnik. He spent the last years developing intelliGuide, the operator assistance system presented in this talk. His focus is on creating value for his customers using modern approaches such as machine learning, robotics and cloud technology.
Benedikt Buer is speaker of the following session:
Founder and Head of Data Science
Alex is the Founder and Head of Data Science at NumberBoost, a startup based in Cape Town that builds custom A.I. solutions focused on real-time computer vision using deep learning, edge computing and privacy-preserving federated machine learning. NumberBoost has won startup competitions with MultiChoice, Mercedes-Benz, Lloyd's Register in London and NTT Data Japan. He organizes the Cape Town Machine Learning and Deep Learning Meetup groups and chaired the organizing committee for the 2018 Deep Learning IndabaX conference in Cape Town.
Alex Conway is speaker of the following session:
Senior Partner & COO
Lawrence is Senior Partner, COO and Customer Insights & Advanced Analytics practice leader with Cicero Group. Lawrence has spent the last decade building Cicero's analytics practice where he has experience helping Fortune 1000 firms solve real business challenges with data, including attrition, segmentation, sales prioritization, pricing, and customer satisfaction. He also leads the firm in predictive analytics and Big Data related engagements, applying Cicero’s deep expertise in strategy execution to ensure data delivers ROI. He has partnered with companies to help them to shift from reactive to predictive analytics by collecting and analyzing real-time information and distributing it across the organization— allowing management to make better, faster decisions that move the business forward.
Lawrence holds a Master’s of Science in Predictive Analytics from Northwestern University, an MBA with an emphasis in Business Economics from Westminster College, and a BA from Brigham Young University
Lawrence Cowan is speaker of the following session:
Senior Technical Consultant
Olga Dashkevich is Senior Consultant at NTT DATA Deutschland within the team Advanced Analytics & Data Science. She holds an International MSc. degree in Computational Mechanics from TU Munich and a degree in Mathematics & Mechanics from Saint Petersburg State University. For more than 6 years Olga has conducted several data science projects in the areas of CAE in the automotive, marketing and financial services sectors. Her main areas of work include predictive analytics, ML and business reporting.
Olga Dashkevich is speaker of the following session:
Senior Data Scientist
Taras Firman is a Senior Data Scientist at ELEKS, working with machine learning, statistical analysis, optimization, forecasting, etc. to solve customer’s problems through data power. Having a lot to contribute, he frequently participates in meetups and speaks at industry conferences. He received his Ph.D. in Mathematics from Ivan Franko National University in 2017. A mathematician by education and by calling, Taras also leads the Course on decision-making theory at Ukrainian Catholic University.
Taras Firman is speaker of the following sessions:
Head of Data Science
Grzegorz Gawron is a lead software engineer/manager with interests in advanced analytics and a taste for theory. He acts as the Head of Data Science at VirtusLab. Previously doing data engineering at Base CRM. Before that trading systems for banking (PRM). … It all started with a :joy: of having the first Commodore 64 program stored securely on a magnetic tape. He holds an MSc in computer science and an MSc in economics from the University of Warsaw. Interests in data, algorithms, software engineering, distributed systems, machine learning.
Grzegorz Gawron is speaker of the following session:
Urs Güttinger was the head of the Smart Factory Logistics area at Bossard AG for 19 years. In this flourishing business he was significantly involved in the development and industrialization of the Bossard logistics systems SmartBin and SmartLabel and was responsible for the operation of more than 2500 logistics systems worldwide. He further optimized the B- and C-parts management of many companies and accompanied the development of the ARIMS platform with the digital cockpit and the ARIMS Mobile App right from the start.
Since 1 January 2018, Urs Güttinger has been responsible for technology development as CTO of the Bossard Group and deals with topics from industry 4.0 such as IoT, data analytics, AI and robotics.
Urs Güttinger is speaker of the following session:
Dr. Andres Hernandez
Senior Data Scientist
Dr. Andres Hernandez is speaker of the following session:
Head Machine Learning Engineering
After more than a decade in various military units, Markus joined GfK in 2012 as a Data Scientist and moved on with Data Engineering. Following that he took over ownership for the GfK Data Integration ecosystem “Insights Platform” and is now responsible for GfK’s Machine Learning Engineering unit.
Markus Herrmann is speaker of the following session:
Dr. Marianne Hoogeveen
Staff Data Scientist
After studying Physics (MSc) and Mathematics (Ph.D.), Marianne worked as a data scientist. First in London, for a company called Cytora, then in NYC for Arena Analytics, and now for Bowery Farming, where she works on problems involving analysis of sensor data, optimization, and predictive analytics for everything to do with automation.
Dr. Marianne Hoogeveen is speaker of the following sessions:
Dr. Bodo Hüsemann
Dr. Bodo Hüsemann has been working for Informationsfabrik GmbH since 2005 and has more than 14 years of experience as an architect, coach and developer in Business Intelligence, Big Data and Machine Learning projects. He studied business informatics and earned his doctorate at the University of Münster. He has been a partner of Informationsfabrik since 2009 and currently pursues topics related to the industrialization of data science processes and the development of analytics platforms in the cloud. As an experienced trainer, he also conducts BI training courses and practical workshops for companies and the University of Münster.
Dr. Bodo Hüsemann is speaker of the following session:
Denis Kangeldi is speaker of the following session:
Founder & CEO
Tilak Kasturi is an engineer, innovator, and entrepreneur with more than 20 years of executive experience in enterprise software, big data, and applied artificial intelligence. He has driven scalable product platform startups across various verticles, including healthcare, media, entertainment, and now industrial repair and maintenance with Predii Inc. He holds a B.S. in Electrical Engineering from National Institute of Technology, (India), an M.S. in Computer Science from the Florida Institute of Technology, and an M.B.A. from the University of Central Florida.
Tilak Kasturi is speaker of the following session:
Dr. Tobias Keller
Since 2016, Dr. Tobias Keller has been working as Data Scientist at ZERO.ONE.DATA, the Big Data Startup of DB Systel GmbH. He consults on and applies Statistics and Machine Learning in a Big Data environment. Furthermore, he teaches Data Science at Deutsche Bahn and in the doctoral education programs at several universities.
Dr. Tobias Keller is speaker of the following session:
Founder & Head of Data Science Research
Ralf Klinkenberg, founder and head of data science research at RapidMiner, is a data-driven entrepreneur with 25+ years of experience in machine learning, advanced analytics, and applications in the automotive, aviation, chemical, manufacturing, pharmaceutical, and telecom industries. He initiated the open source software project RapidMiner in 2000 and co-founded the company RapidMiner in 2007. 2008 he won the European Open Source Business Award and 2016 the European Data Innovator Award. 2017 the German government invited him to the steering committee of its “Plattform Lernende Systeme”, a national initiative of the German government to promote artificial intelligence and machine learning in industry and society. RapidMiner has 440,000+ registered users in 150+ countries.
Ralf Klinkenberg is speaker of the following session:
Rico Knapper holds a degree in Mathematics and has been working as Data Scientist since 2009 in several positions including research and management. In 2016, Rico Knapper co-founded anacision and is currently in his role as Chief Data Scientist involved in various applied Data Science projects in collaboration with industries.
Rico Knapper is speaker of the following session:
Dr. Johannes Kröckel
Head of Data Science & AI
Dr. Johannes Kröckel is Head of Data Science & AI at Schaeffler. He holds a PhD in Information Systems from the University of Erlangen-Nuremberg. After finishing his doctorate on applied computer vision for customer behavior analysis at the point of sale in 2013 Dr. Kröckel worked as a Technology Consultant and Data Scientist at Lufthansa Industry Solutions before he joined the automotive supplier in 2016.
Dr. Johannes Kröckel is speaker of the following session:
Richard Lim is the Manufacturing Strategist for Ink Supplies Organization at HP Inc. He is has been leading the organization's efforts towards Smart Manufacturing, moving their manufacturing operations towards Industry 4.0. The organization has factories around the world.
Richard has been in HP for 31 years, having experience in Equipment/Process/Tester Engineering, Factory IT and Manufacturing Analytics. Currently he is leading the organization's Manufacturing Analytics and IIoT labs technically.
He is an Electronic Engineer & MBA by degree and believes the innovative melding of manufacturing engineering fundamentals and data science is the way to successful manufacturing analytics. He is excited by the opportunity to transform existing manufacturing infrastructure & practices with industry 4.0 insights to give the business industry 4.0 results! He has been active in building an diverse manufacturing analytics group in HP that is making a difference!
Richard Lim is speaker of the following sessions:
Simon Henning Nehls
Senior Data Science Consultant
Simon Nehls is a senior consultant at Holisticon AG, part of the Smart Data work stream and responsible for “all things data”. He has an academic background in market research and managerial economics and is specialized in data science, modelling and analytical decision support.
His consulting experience spans across the whole data science lifecycle. It ranges from the data ideation phase via the actual data science tasks to the deployment into production and the company.
As his focus is the value creation of data and data science, he gained valuable experience in the implementation of data science processes in organizations and the set up of data (science) teams and units in organizations.
Simon Henning Nehls is speaker of the following session:
Working Student Advanced Analytics & Data Science
Alexander is a working student at NTT DATA in the Advanced Analytics and Data Science team. He pursues his Bachelor Degree in Mathematics with focus on Deep Learning at FU Berlin. He has conducted several development projects for data science in topics such as image recognition, reinforcement learning and feature engineering. Currently, his main interest lies in making complex datasets available for machine learning (at work) and non-parametric approximation techniques (at University).
Alexander Nenninger is speaker of the following session:
Cedric Oette works as a data scientist in the Data Science & AI department at Schaeffler on AI topics based on sensor data. In 2015 he started with a Degree in Engineering Sciences from the University of Bayreuth as Research Assistant at Fraunhofer IPA and worked on intelligent manufacturing assistants and implemented NoSQL cluster system for decentralized and above all fast processing of high sensor data volumes.
Cedric Oette is speaker of the following session:
Gaurav Pawar received a graduate degree in Electornics and Telecommunication Engineering, from the University of Pune, India.
He has 4+ years of experience as a Data Scientist and Computer Vision Software Engineer.
In March 2018, he joined Mobisy Technologies, currently working as a Data Scientist focused on Advanced Analytics and Driving Digital Automation Using Computer Vision.
In the years 2014 to 2017, he worked on ADAS technology for AllGo Embedded Systems, an IT company focused on automotive industry. He contribuited to projects like Driver Drowsiness Detection system, 360o view Parking Assitance System and Face Recognition in car.
He is an enthusiastic long distance runner. When he is not working, he is training for marathon and attending AI meetups / workshops in his city Bangalore.
Gaurav Pawar is speaker of the following session:
Senior Manager Advanced Analytics
Berndt Pilgram received a graduate degree in Electrical Engineering, a doctorate in Applied Statistics, completed a post-doctorate in Forecasting, and graduated from an Executive Program in Social Impact Strategy, focusing on Strategy & Business Development, from the University of Pennsylvania.
He has 20 years of experience as a Data Scientist and R&D Engineer.
In October 2018, he returned to Infineon Technologies, Munich as a Senior Manager Advanced Analytics, driving Digital Transformation topics with a focus on Business Impact Strategy.
In 2000, he joined Infineon Technologies, and subsequently Intel, in 2011. Overall, he had worked for 14 years as a Systems Engineer in technical leadership roles responsible for concept development, high-level mathematical modelling and system simulation of mobile telecommunication systems. In 2015, he joined Teradata, a top-tier US IT & Analytic services provider, as a Data Science consultant focusing on automotive and energy industry. In 2017, he joined E.ON as team lead Advanced Analytics for electrical networks where he successfully drove the introduction of AI for network overload prediction.
He is an enthusiastic hobby bicycle-mechanic and mountain biker. When he is not working, fixing bicycles or analyzing data collected during bike tours, you can find him jogging in the Englischer Garten.
Berndt Pilgram is speaker of the following session:
Frank Poerschmann is deputy chairman of the non-profit-organization „Digital Analytics Association e.V.“ in Germany and one of the leading European heads on pushing the profession of „data analyst“ to become internationally established.
As head of the working group Industrial Analytics he initiated the first global study on Industrial Analytics 2017 which ist presented at this conference.
In his commercial live, the former CeBIT CEO acts as Managing Partner of iDIGMA GmbH, one of the first data strategy advisors, specialized on the strategic development of data analytics capabilities in professional organizations.
Frank Pörschmann is speaker of the following sessions:
Dr. Markus Rotter
Head of Network Analytics
Markus is driving Advanced Analytics on network and service data in Vodafone Germany to improve customer experience and operational performance. He leads a team of data scientists for predictive/big data analytics as well as a BI developer team to productize analytical results into KPIs, reports and dashboards. By developing a real-time correlation software, the data science team is able to proactively find network problems and automate the resolution. Employing the typical data science methods to correlate technical and customer data, they also provide levers to improve customer experience.
Before his role at Vodafone, Markus held various positions in Product Management, Sales and Management Consulting at various companies. He holds a diploma and a PhD in physics from LMU Munich.
Dr. Markus Rotter is speaker of the following session:
Having background in Mathematics & Data Analysis, Misha researches industrial applications of different AI technologies. Before joining IoT Analytics, Misha has done two internships at business & analytical divisions at Google, and empirical thesis on security-focused business models at Wire. Now, as part of IoT Analytics, he has set up an extensive "Predictive Maintenance Market Report 2019-2024".
Misha is particularly interested in the topics of artificial intelligence, security-enhancing technologies and Bayesian inference.
Misha Rykov is speaker of the following session:
Head of AI Control
Curious AI's complex systems optimisation expert in charge of the model predictive AI control solution. A roboticist and a maker, Mr Sainio has 15 years of embedded software and hardware industry experience with a machine vision foundation and hands-on deep learning skills. He is a MSc (tech) in Systems Analysis from Aalto University, Finland.
Jussi Sainio is speaker of the following sessions:
Dr. Sandro Saitta
Chief Industry Advisor
Sandro Saitta is a Data Science passionate. He has 10 years of experience applying Data Science in industries such as Finance, Telco, Chemicals, Online Travel and FMCG. He is currently Chief Industry Advisor at the Swiss Data Science Center. Sandro holds a PhD in Computer Science from the EPFL and founded the Swiss Association for Analytics to promote Data Science in Switzerland.
Dr. Sandro Saitta is speaker of the following session:
Dr. Sandro Saitta is moderator of the following sessions:
- Agile for Analytics – Best Practices & Strategy along the Road from a Business Idea to a Data-Driven Analytics Product or Service with Business Impact
- Deploying Real-Time Predictive Models within Regulated Industries
- Finding the Right Machine Learning Method for Predictive Maintenance
- One Shot Learning for Action Recognition and Damage Detection in the Industry
Product Supply Controlling Strategy & Development Lead
Silja Salge is responsible for Strategy & Development of Corporate Product Supply Controlling of Bayer AG. She leads several engagements in Supply Chain Analytics as wells as in large scale business intelligence projects and worked in various analytics and operational roles e.g. heading SCM Americas of Bayer Diabetes Care.
Silja Salge is speaker of the following session:
Director of Laboratory Informatics and CORE Center for Computational Health
Yale School of Medicine
Dr. Schulz is a physician scientist in clinical pathology with a research focus in computational healthcare. His group works on the development and validation of clinical predictive analytic and computational phenotyping models to accelerate precision medicine initiatives.
Wade Schulz is speaker of the following session:
Dr. Michael Soucek
Manager Data Science / Applied Intelligence
Michael is Data Science Manager in the Applied Intelligence Practice of Accenture. He has cross industrial experience in designing analytics use cases and hands-on experience in delivering end-to-end data science work. Michael has been working with multiple clients across Europe on projects in Pricing, Financial Risk, Marketing Analytics and Supply Chain Analytics. Michael holds academic degrees in business administration and PhD in empirical finance. Furthermore, he is author of several publications on volatility modelling and was visiting scholar at the University of Cambridge and Jönköping International Business School (JIBS).
Dr. Michael Soucek is speaker of the following session:
Head of AI
Simon Stiebellehner is Head of AI at craftworks, lecturer in Statistics. He focuses on bringing Artificial Intelligence into the industry in the form of Industrial AI. After gaining diverse industry experience, ranging from Microsoft to global players of the consulting industry, he obtained his Masters degree from University College London (UCL), specializing in Machine Learning and Data Science. Subsequently, he was a doctoral candidate and research associate, conducting research at the intersection of Neural Probabilistic Language Models and Recommendation Systems in a Real-Time Bidding context.
Simon Stiebellehner is speaker of the following session:
With his Strategy Consultancy Datentreiber Martin Szugat supports companies during the digital transformation to data-driven business models and processes. His method of data strategy design empowers companies to develop individual and successful data strategies and allows them to take tangible advantage of their data. Prior to Datentreiber Martin Szugat was Managing Director of SnipClip, an agency for social media marketing & analytics solutions. The bioinformatics graduate has researched machine learning and data mining and worked as a freelance specialist author and IT consultant. Since 2014, he additionally is in charge as program director for the Predictive Analytics World conferences in Germany
Martin Szugat is speaker of the following sessions:
Martin Szugat is moderator of the following sessions:
- Data and AI – the "New Oil" or Rather "Dangerous Asbestos"?
- How Edge Analytics can accelerate the success of your Predictive Analytics project
- 10:40am - 11:10am: Beyond the Data Lab: Advanced Analytics at Continental Tire
- 11:10am - 11:40am: A Self-learning AI for Tool Wear Detection at Schaeffler
- 11:45 am - 12:15 pm: Machine Learning Beyond Classification and Regression: Predicting Assembly Plans for New 3D Product Designs at Daimler Trucks
- 12:15 pm - 1:15 pm: Feature Extraction and Physical Crash Behavior Prediction for Faster Vehicle Design
- 2:00 - 2:30 pm: Deep Learning for Visual Inspections of Rental Cars
- 2:30 - 3:00 pm: When Labelled Data is Scarce: Semi-Supervised Learning for Visual Inspection at Miba
- Smart Capacity Management for Car Rental Company Russmann
- Using Machine Learning to Build a Mechatronic Operator Assistance System at Homag
- Try Fast, Fail Fast & Adjust Fast: HP’s Philosophy Towards its Industry 4.0 Efforts
- 10:20 - 10:50 am: Automated Evaluation of Machine Wear and Tear in Manufacturing at EMAG
- 10:50 - 11:15 am: Self-Learning AI for Machinery Control at Sandvik Mining and Rock Technology
- 11:20 - 11:50 am: Using Machine Learning to Predict Product Supply Interruptions at Bayer
- 11:50 am - 12:20 pm: Combining Ensemble & Deep Learning to Reduce Over & Out of Stock for FMCG Companies such as P&G
- 1:20 - 1:50 pm: Higher Customer Loyalty Through Predictive Inventory Management at Bossard
- 1:50 - 2:20 pm: Transforming Field Services with Artificial Intelligence at Hobart Services
- 2:25 - 2:55 pm: Predicting Energy Consumption of Trains at the Deutsche Bahn AG
- 2:55 - 3:25 pm: Data Science Methods at Work in the Vodafone Network
- 3:55 - 4:25 pm: Happy Cow - Happy Farmer! A Commercial IoT Use Case in Massive Farming Data for Better Animal Health
- 4:25 - 4:55 pm: Data-driven Plant Factory: Sensor Data, Machine Learning and Optimisation for Indoor Farming at Scale
- Successes and Challenges in Predictive Analytics: the Status Quo
- AI R&D Trends of 2019
Dr. Sebastian Wernicke
Chief Data Scientist
Sebastian Wernicke is Chief Data Scientist of ONE LOGIC, helping organizations make sense of their data. He originally studied bioinformatics before moving into management consulting and serving as managing director at Seven Bridges, building genetic analysis platforms. He is also widely known for his TED Talks around data and statistics.
Dr. Sebastian Wernicke is moderator of the following sessions:
- Fingerprinting Trains from Rail Vibration with Deep Learning
- Quantum Machine Learning using IBM QX
- Realising the True Value in Your Data: Data-Drivenness Assessment in Logistics & Supply Chain
- Engineering Meta-Optimisation Techniques in Logistics
- Blockchain-backed analytics: Adding Trust to Data-Driven Projects
Valon Xhafa is speaker of the following session: