Predictive Analytics World Berlin
November 18-19, 2019, Estrel Hotel Berlin
Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ, and President of Abbott Analytics, in San Diego, California. Mr. Abbott is an internationally recognized data science and predictive analytics expert with over three decades of experience. Abbott is the author of Applied Predictive Analytics (Wiley, 2014, 2nd edition forthcoming in 2020. He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987).
Dean Abbott is speaker of the following sessions:
Roundtables will be announced soon
Information about Roundtables will be announced soon's session will follow soon.
John Arko is speaker of the following session:
Prof. Dr. Florian Artinger
Professor Florian Artinger is co-founder and managing partner of Simply Rational - The Decision Institute, Professor of Digital Business at Berlin International University of Applied Sciences, and associated scientist at the Max Planck Institute for Human Development. Reference customers of Simply Rational include among others Morningstar Investment Management, Swiss Life, and the DFB (German Football Association).
Information about Prof. Dr. Florian Artinger's session will follow soon.
Dr. Dominik Ballreich
Dr. Dominik Ballreich studied Business Mathematics and Economics at the University of Wuppertal. He holds a Doctorate at the Department of Applied Statistics at the FernUniversität in Hagen and is employed as a Data Scientist at Arvato Financial Solutions. His special research interests are Bayes‘ Filter, Time Series Analysis and Heuristic Optimization.
Dr. Dominik Ballreich is speaker of the following session:
Head of Predictive Analytics
Andreas Baudisch studied Sociology (FU Berlin) with focus on quantitative statistics and economics (TU Berlin, Université de Genève). He has about 10 Years working experience in the field of data science and worked for several companies like infas, DHL, mobile.de, Stepstone.de and McMakler. His major topics include the development and organizational implementation of dynamic pricing engines, recommendation engines and forecasting methods with a strong focus to create impact.
Andreas Baudisch is speaker of the following sessions:
Dr. Frank Block
Head of Dia IT Data Science Lab
Dr. Frank Block joined Roche in February 2017. He has over 15 years of experience in analytics, ranging from start-ups to big companies in leading digital industries (banking, e-commerce). At Roche, he is responsible for building a data science practice within Diagnostics. The Data science activities include analyzing big data, advanced analytics, proof of value experiments, predictive modeling, machine learning, process optimization and data quality management.
Dr. Frank Block is speaker of the following session:
Dr. Timo Böhm
Data & Cloud Engineer
After working for about three years as a (Senior) Consultant for Data Science & AI with an emphasis on machine learning in the cloud, Timo Böhm is now a Data & Cloud Engineer for Codecentric. In this role, he focuses on enabling organizations to bring their machine learning projects into production.
Dr. Timo Böhm is speaker of the following session:
Julia Butter is an AI evangelist at Scout24, where she’s actively driving culture change within the company. Julia has a strong background in product development, including data products, strategy, and innovation. She’s an initiator of forward thinking and energizes through her creativity and enthusiasm.
Julia Butter is speaker of the following sessions:
Thiago de Faria
Head of Solutions Engineering
Thiago de Faria is the Head of Solutions Engineering at LINKIT, a knowledge-driven organization with IT experts supporting partners with a transparent path toward pain mitigation and solving business problems. Passionate about data, programming and the people behind it, he’s given many talks and workshops at conferences. Sometimes on stage, sometimes coding and sometimes in meetings, Thiago loves to learn and try new things... he also likes to crack bad jokes that sounded better on his own mind. He is an active part of the community (devopsdays Amsterdam, ITNEXT & Codemotion), married to someone smarter than him, open-source enthusiast, knowledge-sharer and a proud father. Thiago wakes up every day with one goal: develop happy high-performing teams to decrease time-to-market and build production-ready applications, always!
Thiago de Faria is speaker of the following session:
Head of Institute
Alexander Dietzel studied business administration at the University of Bielefeld with a focus on empirical economic research and quantitative methods. He is a lecturer for the subject controlling and author of books. Since 2017 he has been the head of the interdisciplinary research group 'instat' - institute of applied statistics and is a consultant, among others for institutions of the state of North Rhine-Westphalia and the Federal Government.
Alexander Dietzel is speaker of the following session:
Dr. Markus Eberl
Senior Director Analytics Practice
Dr. Markus Eberl has more than 15 years of experience in Data Science, Machine Learning, Segmentation, Technology and Solutions Architecting and Analytics Consulting. He is leading Kantar Analytics Practice in Germany since 2012. The team of 40 analytics and machine learning specialists and marketing consultants helps clients unlock deeper insights from their data to fuel growth. Markus holds a Ph.D. from LMU Munich University and previously held senior architecting positions at SPSS and IBM.
Dr. Markus Eberl is speaker of the following session:
Technical Product Manager – AI Platform
Olalekan Elesin spent early years of his career as a software engineer, building data intensive applications in the telecommunications and e-commerce sectors in Nigeria. His passion for creating business value with big data architectures, machine learning and AI-driven products at scale led him into doing what he loves at Scout24 Group as the Technical Product Manager - AI Platform at Scout24.
Olalekan Elesin is speaker of the following sessions:
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 session:
Cecilia is the Co-Founder and Managing Director of DataLab GmbH, a Düsseldorf based marketing consultancy specialising in Loyalty, Data Analytics and Customer Equity. She is a Customer Management Expert with extensive experience in the international and German CRM industry. In 2012 Cecilia received the “Manager of the Year” award from “Generation CEO”, the German business network for women in top management.
Cecilia Floridi is moderator of the following sessions:
- Image Search and Classification: Comparison between Google Cloud’s Vision and TensorFlow Models
- When Data Science Lacks Data – “Cold Start” Approaches for E-Commerce
- Advanced Multi-Channel Attribution – What Do We Want and What Can Be Done?
- Six Phases of Reaching True Customer Centricity with Machine Learning
Philipp Fuhrmann (MBA) is Regional Director Germany, Austria and Switzerland at Lucidworks and is the contact person for customers, partners and interested parties throughout the DACH region. Philipp has been advising companies on innovative and visionary technologies for more than 10 years with a focus on sustainable growth, personalisation and optimisation for enterprise customers.
Philipp Fuhrmann is speaker of the following session:
Dr. Andreas Gödecke
Andreas Goedecke has been working in a variety of technical and management positions from big companies (Siemens), to small and medium (Eleks GmbH). Starting out as a researcher in what would today be called the Internet of Things, he worked in domains ranging from Electricity, Automotive, Manufacturing to Robotics. After a few years in R&D strategy, he is now leading the German office of Custom Software Development company ELEKS GmbH, Berlin. His interests are especially the application of data science in IoT and industrial domains. Andreas has a broad educational from physics (Diplom, RWTH Aachen), engineering (Ph.D., JKU Linz), and business (MBA, ESMT Berlin) with research stays in the USA and China.
Dr. Andreas Gödecke is speaker of the following sessions:
Alwin is the Founder and Managing Director of the data analytics and technology boutique Haensel AMS – Advanced Mathematical Solutions, with offices in Berlin and New York. He holds a Phd in Applied Mathematics and studied in London, Berlin and Amsterdam. His main fields of interest are the modeling of individual customer purchasing behavior to optimize pricing and marketing strategies. Most recently, he concentrated on eCommerce topics such as: multi-touch attribution, dynamic pricing.
Dr. Alwin Haensel is speaker of the following session:
Mojan is a Toronto-based engineer, working at Shopify as part of the marketing data science team. Her focus is applied statistics, with recent projects including an open source python package to calculate marketing attribution using Markov chains and modelling propensity scores. She and her team have spent the past year bringing various predictive models into production as part of Shopify's initiative to power marketing acquisition with intelligent data science solutions.
Mojan Hamed is speaker of the following session:
Come Join Us!
Come Join Us! is speaker of the following session:
Dr. Niklas Keller
Co-founder and Managing Partner
Dr. Niklas Keller is Cognitive Scientist and Organisational Psychologist specializing in the development of decision support for high-stakes situations such as the military, police or medical services. He is a co-founder and managing partner of Simply Rational, a spin-off from the Max-Planck-Institute, where he is also an associate researcher. He is furthermore guest researcher at the Charité University Hospital Berlin and member of the Working Group on Data Science in Peri-Operative Care of the Charité. Simply Rational is a consulting and training company specialized in predictive analytics, behavioural science, and organizational change. Reference customers include Morningstar Investment Management, Swiss Life, and the DFB (German Football Association).
Dr. Niklas Keller is speaker of the following sessions:
Sigrid Keydana has experience as a psychologist, software developer and data scientist. She is passionate about applying deep learning to real-world tasks, and enjoys blending ML/DL with a Bayesian approach.
Sigrid Keydana is speaker of the following session:
Dr. David Koll
Senior Data Scientist
Dr. David Koll is a Senior Data Scientist in the Advanced Analytics team at Continental Tires. He joined Continental in early 2018 where he is mainly responsible for supply chain and manufacturing (Industry 4.0) analytics. He holds a PhD in Computer Science from the University of Göttingen, where he graduated in early 2015 and subsequently worked as a Senior Researcher and Project Lead for large multi-national research projects. During this time he received multiple DAAD scholarships as a visiting researcher in the United States, Sweden and China. His research focus was on the application of Machine Learning in data-driven computer networks.
Dr. David Koll is speaker of the following sessions:
Data & Digital Enthusiast
Among to credit risk management, purchasing and marketing/sales, always using machine learning and AI, Andreas Kulpa's main focus is on DATA - the source of every decision. That´s why one of his company stations name is DATAlovers AG. But also Pironet NDH, Steria Mummert, arvato financial solutions and the Kerkhoff Group were stations of his professional career.
Andreas Kulpa is speaker of the following session:
Head of Data Science
Jack Lampka has over twenty years international experience along the entire data analytics value chain, built on engineering and business degrees. He has applied his machine learning and business acumen in IT hardware (HP, Tektronix) and software startups. Two years ago, he has brought his data science expertise to healthcare as the Head of Data Science at MSD Sharp & Dohme, a leading pharma company.
Jack Lampka is speaker of the following sessions:
Christian holds a degree in statistics (from LMU Munich). Before joining GfK Global Data Science he worked for an electric utility and for GfK Geomarketing where he helped clients exploit their regional market potential. Nowadays, Christian focuses on the development of end-to-end prescriptive analytics solutions for the durable goods and electronics industries.
Christian Lindenlaub is speaker of the following session:
Big Data Business Development, Technical Leader and Privacy Advisor
Jan manages data science projects at Dativa, and is an aspiring data scientist himself. He has lead the image recognition project with Tradera. Having worked across multiple industries he has gathered insights from various industries from telephony, mobile and media streaming. He is also privacy adviser and works on a blockchain based privacy agreements to ensure full control and transparency of the processing of private data. He has led product development collecting analytics data from smart phones to web browsers at VisualOn. Before that he was client solution manager at Ericsson Multiscreen solution.
Jan Lindquist is speaker of the following session:
Dr. Benedikt Mangold
Senior Data Scientist
Benedikt Mangold is working as a Data Scientist at GfK in Nuremberg. He has over 5 years of experience in the fields of statistics and machine learning, applied to marketing intelligence, finance, and property data. He studied mathematics/economics and earned his doctorate at the University of Erlangen-Nuremberg where he also conducts lectures of statistics, Data Science, and programming courses
Dr. Benedikt Mangold is speaker of the following session:
Chief Data Officer
Nikita is a professional in the field of data products and data management. He currently holds a position of the Chief Data Officer in S7 Airlines. His team consists of around 70 specialists in product management, data engineering, database administration, data science, software development and business analysis. They focus on three areas: The first is development of data warehouses and data management practices, which improve data availability, transparency and quality. Then, they do a lot of research in the field of data science and develop models for core processes improvement. And, finally, they work closely with the business departments and identify their needs in data and analytical instruments.
Nikita's areas of expertise include Customer Communications, Revenue management, MRO and Process Management. Before joining S7, he worked on business process optimization for a national Russian telecom company and gained experience as a Consultant in Roland Berger.
Nikita Matveev is speaker of the following sessions:
Marketing Science Lead
As a Marketing Science Lead, Diana uses analytics to provide organizations with data to understand the ‘why,’ bridging the gap between marketing & other departments, driving consistency across all channels/departments/, maximizing the power of Data Science for the business. Diana has extensive experience with some of the biggest advertising platforms.
Diana Mozo-Anderson is speaker of the following session:
Stefan is the CEO of Tradera Sweden AB, a PayPal owned online marketplace very similar to Ebay. Tradera has some 2M items for sale at any given time and approximately 20% of the Swedish population is a registered user. The business model lends itself extremely well for the use of ML and AI technologies and Tradera has already done a lot in the areas of fraud prevention, product recommendations, marketing automation, predictive analysis and image recognition. It is Traderas ambition to be the market leader in the space and there is still great opportunities. Prior to the current position, Stefan was the CPO of Skype.
Stefan Oberg is speaker of the following session:
Michael Oettinger, founder and owner of oetti-ds, is a data scientist who advises companies in various industries. After studying business administration with a focus on mathematics and market research in Augsburg and Oviedo, he fulfilled various managing roles at PwC, IBM (inter alia SPSS) and other software companies. The focus of his activities is the application of analytical models at several business use case scenarios, using “classic” but also new software tools (in particular R, Python, KNIME, Spark MLlib, H2O and Tensorflow). He is the author of the book: "„Data Science: Eine praxisorientierte Einführung im Umfeld von Machine Learning, künstlicher Intelligenz und Big Data“", which will be published in the summer of 2019 in its second edition.
Michael Oettinger is speaker of the following session:
Malte Pietsch is a Co-Founder at deepset, where he crafts custom NLP solutions for diverse clients, such as Siemens, Airbus and Springer Nature. He holds a M.Sc. with honors from TU Munich and conducted research at Carnegie Mellon University. Before founding deepset he worked as a data scientist for multiple startups. He is an active open-source contributor and creator of the NLP package FARM.
Malte Pietsch is speaker of the following sessions:
In 25 years of work Frank led various teams in tech and general management, incl. 10 years at IBM, as CTO of Deutsche Messe and as Head of CeBIT. Today Frank is CEO of iDIGMA GmbH, specialized on AI & Data Governance and Strategy. Frank acts as co-head of Institute “Data & AI Governance” at Uni. of Digital Sciences Berlin and initiated the „Data Governance School“ for data decision makers. He coded his first neural network in 1995 to detect satellite signals and was fascinated since.
Frank Pörschmann is moderator of the following sessions:
Dennis Proppe is a leading data scientist and entrepreneur in the field of relationship marketing. Starting out with a Ph.D. in Marketing & Statistics, he founded a data science consultancy with a research colleague in 2008. This company evolved into Gpredictive, a software company that allows easy scaling and productionizing of machine learning initiatives for relationship marketing efforts. Dennis has led several hundert machine learning initiatives into production.
Dr. Dennis Proppe is speaker of the following sessions:
Founder and CEO
David M. Raab is founder of the Customer Data Platform Institute, which educates marketers and technologists about customer data management. Mr. Raab named the CDP category in 2013 and has been active in defining it ever since. He founded the CDP Institute in 2016.
As a consultant, author, and speaker, Mr. Raab has been helping marketers to make better use of technology since 1987. Typical consulting projects include marketing process analysis, architecture planning, needs definition, and vendor selection. Mr. Raab also consults with industry vendors on product and business strategy. He regularly speaks at conferences around the world.
Mr. Raab has published hundreds of articles on marketing technology and is author of Marketing Performance Measurement Toolkit (Racom Books, 2009). Additional research appears regularly on his blog http://customerexperiencematrix.blogspot.com. Prior to his consulting career, Mr. Raab held senior marketing positions in the publishing and continuity industries.
Mr. Raab holds a bachelor's degree from Columbia University and MBA from the Harvard Business School.
David Raab is speaker of the following sessions:
Dr. Nora Reich
Product Owner Big Data & Artificial Intelligence
Dr Nora Reich has been driving the use of data science solutions at KfW Bankengruppe's customer interfaces (domestic) since 2018. Current machine learning projects include email classification and routing, fraud detection, forecasting and text mining. Dr Nora Reich has extensive expertise in the use of analytical methods as a basis for data-driven business solutions and decisions, including previous positions at DHL Paket GmbH and the management consultancy mm customer strategy.
Information about Dr. Nora Reich's session will follow soon.
Robin is founder and CEO of apheris AI GmbH, a start-up that develops artificial intelligence algorithms for biomedical data with a focus on privacy preserving technologies. Robin studied medicine, philosophy and mathematics and was professionally trained at UBS in Global Banking. In recent years, Robin has already founded another start-up in the healthtech sector, where he build an automatic speech recognition for children with language disorders. Prior to and during his various studies he intensively focused on data harmonization techniques using artificial intelligence and algebraic theories on privacy preserving data processing. With apheris AI he pursues the mission to fully leverage the value of biomedical data for the benefit of patients, while preserving the privacy of the data.
Robin Röhm is speaker of the following sessions:
Lars Schleithoff studied Mathematics at Rheinische Friedrich-Wilhelms-Universität in Bonn, specializing in numerical methods for Machine Learning. At Fraunhofer SCAI Research Institute, he studied Machine Learning Models for applications in the automotive industry. Today, Lars is Data Scientist at Informationsfabrik GmbH. His focus lies on IoT and Predictive Analytics for manufacturing.
Lars Schleithoff is speaker of the following sessions:
Dr. Christian Schneider
Senior Machine Learning Expert
Dr. Christian Schneider is Senior Machine Learning Expert at the online weather portal wetter.com. He manages many well-known customers and develops innovative data science solutions. He holds a PhD from ETH Zurich about “The robustness of complex networks“ and was a postdoc at Massachusetts Institute of Technology (MIT). His research focused on complex systems, big data and environmental engineering.
Dr. Christian Schneider is speaker of the following sessions:
Associated Head of Sales
Chris Schneider is Associated Head of Sales at LexisNexis GmbH. He has been working in the Data & Analytics environment for about six years and has gained a large wealth of experience in managing compliance projects in the finance industry and banking sector. He has been involved in numerous corporate projects.
Chris Schneider is speaker of the following session:
Founder & CEO
Alexey Shaternikov is Founder and CEO at DSLab. Alexey has 10+ years of practical experience in applying data analysis, machine learning and artificial intelligence to solve business problems. He currently focuses on forecasting demand and optimizing replenishment strategies to help retailers reduce the number of write-offs and out-of-stocks. Alexey received his degree from Saint Petersburg State University of Engineering and Economics.
Alexey Shaternikov is speaker of the following session:
CEO and Privacy-Nerd
Björn Stecher is speaker of the following session:
Head of AI
Simon Stiebellehner is Head of AI at craftworks, lecturer in Statistics and Digital Marketing and passionate speaker. Currently, he focuses on bringing Artificial Intelligence into the industry in the form of Industrial AI. He designs systems that focus on enhancing human decision-making abilities using Artificial Intelligence technologies. 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.
Information about Simon Stiebellehner's session will follow soon.
With over 20 years of professional experience in advanced analytics, and a PhD in mathematics, Artur has led over 100 projects for companies at different stages of development – from startups to global corporations. Several scientific papers and thousands of hours of commercial training later, Artur still has undying enthusiasm for sharing his expertise in business analytics, Data Science, and Machine Learning. He currently holds the position of CTO at QuantUp.
Dr. Artur Suchwalko is speaker of the following sessions:
Prof. Dr. Gero Szepannek
Professor for Statistics, Business Mathematics and ML
After his PhD at Dortmund University (together with Fraunhofer IDMT, Ilmenau) in 2008 he has worked for seven years as head of scoring and rating models for the Santander Consumer Group. Since 2016 he has a professorship for Statistics, Business Mathematics and Machine Learning at Stralsund University of Applied Sciences.
Prof. Dr. Gero Szepannek is speaker of the following sessions:
Founder & Managing Director
Martin Szugat is founder and managing director of Datentreiber, a data strategy consultancy supporting companies to digitally transform to a data-driven business. He invented the Data Strategy Design method and provides a free Data Strategy Designkit. Prior to Datentreiber, Martin Szugat was managing director of SnipClip, an agency for social media marketing & analytics. With a degree in bioinformatics, he has conducted research in machine learning and worked as a freelance software developer, consultant & author. Since 2014, he is responsible for the Predictive Analytics World & Deep Learning World conferences in Europe as program director.
Martin Szugat is speaker of the following sessions:
Martin Szugat is moderator of the following sessions:
- Let’s Change How We Compute Customer “Lifetime” Value!
- From Data to Data-Driven to an AI-Ready Company at Scout24: Enabling Product Teams to Build AI-Driven Products at Scale
- Cost-Effective Personalisation Platform for 30M Users of Ringier Axel Springer
- Behind the Buzzword: Understanding Customer Data Platforms in the Light of Predictive Analytics
- Finding B2B Cross-Selling Opportunities at Schneider Electric with Deep Learning
- Wie Explainable AI der Continental AG hilft, Vorhersagen von Machine Learning besser zu nutzen
- How Predictive Modelling is Used to Optimise Towards ROI at VGW
- Predicting Ad Performance with AI for Coca-Cola
- Big Data - Both building block and rocket fuel
- Data Science at Roche: From Exploration to Productionization
- Customer Profiling in Healthcare: Is that Even Possible? A Case Study at MSD.
- Automating Demand Forecasting with Artificial Intelligence: a Case Study of Lenta
- Der Wetter-Faktor: Wie die Bedarfs- und Absatzplanung für Bäckereien wetterbasiert optimiert wird
- Wie bei der HOERBIGER GmbH Predictive Cost Management zum Erfolg gebracht wurde
- Visualizing Data: For Muggles and Magicians
- Bricks and Mortar of a Data Science Product
- Machine Learning im quantitativen Asset Management
- Vorhersage von Immobilienpreisen bei McMakler
- Simply Strategies for a Complex World?
- Uplift Modelling as a Tool for Making Causal Inferences at Shopify
- AI Driven Hyper Personalised Search Experience for Digital Commerce & Digital Workplace
Senior Data Scientist
René studied business administration (at Nordakademie Elmshorn) and business informatics (at the University of Erlangen-Nuremberg). Before he joined GfK, he blended loyalty card, transaction, geographical, and market research data at a German drugstore chain. At GfK, he has worked as a Data Scientist in the DataLab and SUPERCRUNCH units, and nowadays at Global Data Science, where he focuses on developing end-to-end prescriptive analytics solutions.
René Traue is speaker of the following session:
Principal Engineer/Architect, Tech Lead
As a Principal Engineer/Architect and Tech Lead at DreamLab - an IT hub of Ringier Axel Springer, Piotr is designing and building data-driven products for millions of people, solving business problems and extracting value out of vast quantities of data. In doing so, he touches all layers of modern Software & Big Data stack. He loves to have a direct impact on the Big Picture, which made him develop an interest in Software Architecture, Domain-Driven Design and Distributed Systems. Also, he hates buzzwords. Ends up utilizing many of them anyway. Previously at Google, CERN and Zendesk.
Piotr Turek is speaker of the following session:
Dr. Jonas Vogt
Dr Jonas Vogt has worked for Quoniam Asset Management since 2013. He is a member of the equities portfolio department where he is working on quantitative investment strategies. He received his PhD in Statistics from Dortmund University and studied Economics and Statistics.
Dr. Jonas Vogt is speaker of the following session:
Dr. Steffen Wagner
Executive Data Scientist
Steffen is co-founder of INWT. He specializes in predictive analytics, online marketing, and customer relationship management. He holds a Ph.D. in physics and gives insights into his data science work as a lecturer in the joint master’s program in statistics offered by a consortium of Berlin universities.
Dr. Steffen Wagner is speaker of the following session:
Phil Winters is known internationally as The Father of Customer Intelligence. An independent business advisor, author, keynote lecturer and workshop leader with 35+ years' experience working with some 300 companies, he focuses on Customer Intelligence and championing the customer perspective to help organizations raise customer value through outstanding customer experience.
Phil Winters is speaker of the following sessions:
Global VP Data
As Global VP Data at PAYBACK, Norbert draws on his extensive experience in marketing analytics, Data Science end to end solution development, the digital ecosystem, innovation management, data product, and algorithm development. Before joining PAYBACK, Norbert was ramping up and managing Sqooba Germany and SUPERCRUNCH by GfK, two Data Science startups. He worked as Director Data Science and AI at PwC, Global Head of Data and Science and Global Head of Innovation and Digital at GfK.
Norbert Wirth is moderator of the following sessions:
- Improving Forecasts of Machine Learning Algorithms by the Maximum Entropy Approach
- The Imagenet Moment for NLP: Tips & Tricks for Effective Transfer Learning
- Sustainable Rapid Prototyping: Making Machine Learning Projects Reusable
- Data Science Development Lifecycle – Everyone Talks About It, Nobody Really Knows How to Do It and Everyone Thinks Everyone Else Is Doing It
- From Sandbox to Production - How to Deploy Machine Learning Models?
- Machine Learning Lifecycle, Continuous Evaluation & DevOps - Scaling your Machine Learning Efforts
- How to Integrate Machine Learning into Serverless Workflows
- Using Nonlinear Time-Series Analysis for Creating Signals
VP Marketing Analytics & AI
Tomasz Wyszyński is speaker of the following sessions:
Senior Staff Engineer
Believes that Computer Scientists need to explore the vast landscape of their field to choose the right tools for every problem. In that spirit, he delved into HPC Erlang distributed systems, front-end, peer-to-peer networks, JVM technologies, high-throughput CPP messaging, and Big Data engineering. Currently designing and building a personalization platform for 30M users at DreamLab – an IT hub of Ringier Axel Springer.
Michal Zmuda is speaker of the following session: