ESTREL HOTEL BERLIN
18.- 19. NOVEMBER 2019

VOM DATA LAB ZU DATA OPS

Bestätigte Referenten

Predictive Analytics World Berlin
18.-19. November 2019, Estrel Hotel Berlin

Dean Abbott
Dean Abbott

Co-Founder and Chief Data Scientist

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).

Roundtables will be announced soon
Roundtables will be announced soon

Informationen zur Session mit Roundtables will be announced soon folgen in Kürze.

John Arko
John Arko

Geschäftsführer

John Arko ist Geschäftsführer der Landbäckerei Schmidt aus Königstein in der Sächsischen Schweiz.

Prof. Dr. Florian Artinger
Prof. Dr. Florian Artinger

Co-Founder

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).

Informationen zur Session mit Prof. Dr. Florian Artinger folgen in Kürze.

Dr. Dominik Ballreich
Dr. Dominik Ballreich

Data Scientist

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.

Andreas Baudisch
Andreas Baudisch

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 spricht bei folgenden Sessions:

Dr. Frank Block
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 spricht bei folgender Session:

Dr. Timo Böhm
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 spricht bei folgender Session:

Julia Butter
Julia Butter

AI Evangelist

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.

Thiago de Faria
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!

Alexander Dietzel
Alexander Dietzel

Institutsleiter

Alexander Dietzel hat an der Universität Bielefeld Betriebswirtschaftslehre studiert mit den Schwerpunkten empirische Wirtschaftsforschung und quantitative Methoden. Er ist Lehrbeauftragter für das Fach Controlling und Fachbuchautor. Seit 2017 leitet er die interdisziplinäre Forschungsgruppe instat - institute of applied statistics und ist in beratender Funktion u.a. für Einrichtungen des Landes NRW und des Bundes tätig.

Alexander Dietzel spricht bei folgender Session:

Dr. Markus Eberl
Dr. Markus Eberl

Senior Director Analytics Practice

Dr. Markus Eberl mehr als 15 Jahre Erfahrung in Data Science, Machine Learning, Segmentierung, Markenpositionierung, Technologie-Architekturen und Analytics-Consulting. Seit 2012 leitet er die Kantar Analytics Practice in Deutschland und hilft mit seinen 40 Kolleg_innen Kunden dabei, das Potenzial existierender Daten zu heben und damit konsumentenzentrierte Marketingaktionen zu befeuern. Die Leidenschaft zu schwarzen Bildschirmen und Codes hat er dabei aber nicht verloren. Zu früheren Tätigkeiten zählen Senior Solutions Architecture-Positionen bei SPSS and IBM, Promotion in München.

Dr. Markus Eberl spricht bei folgender Session:

Olalekan Elesin
Olalekan Elesin

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.

Taras Firman
Taras Firman

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.

Cecilia Floridi
Cecilia Floridi

Geschäftsführerin

Cecilia Floridi, Expertin für nationales und internationales Marketing und Customer Relationship Management, ist Geschäftsführerin der DataLab. GmbH. Ihr Schwerpunkt liegt im Bereich Customer Equity. Zuvor war Floridi als Direktorin Category Management, Einkauf, Marketing und Qualitätsmanagement bei Eismann Tiefkühl-Heimservice.

Nach dem Betriebswirtschaftsstudium mit Schwerpunkt Unternehmensführung in Rom und Linz startete sie bei Siemens Strategy Consultancy und wechselte im Jahr 2000 zu Loyalty Partner, wo sie den Aufbau des Multipartner-Bonusprogramms Payback in den Bereichen Corporate Development, Produktmanagement und CRM begleitete.

Weitere berufliche Stationen bilden Positionen als Bereichsleiterin Marketing Bestandskunden bei der Citibank Privatkunden sowie die Leitung für Marketing und Vertrieb B2C bei EnBW Vertrieb. Die Fachbuchautorin und Gastdozentin hält regelmäßig Gastvorlesungen an der WHU – Otto Beisheim School of Management.

Cecilia Floridi erhielt 2012 die Auszeichnung als „Managerin des Jahres“ vom Businessnetzwerk für Frauen im Top-Management „Generation CEO“.

Foto Andi Werner

Philipp Fuhrmann
Philipp Fuhrmann

Regional Director Deutschland, Österreich und Schweiz

Philipp Fuhrmann (MBA) ist Regional Director Deutschland, Österreich und Schweiz bei Lucidworks und Ansprechpartner für Kunden, Partner sowie Interessenten in der gesamten DACH Region. Philipp berät seit über 10 Jahren Unternehmen im Bereich innovative und visionäre Technologien mit Fokus auf nachhaltiges Wachstum, Personalisierung und Optimierung für Enterprise Kunden.

Dr. Andreas Gödecke
Dr. Andreas Gödecke

Geschäftsleiter Eleks Deutschland

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. Alwin Haensel
Dr. Alwin Haensel

Founder and Managing Director

Alwin is the Founder and Managing Director of the data analytics and technology boutique Haensel AMS, with offices in Berlin and New York. He holds a Phd in 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: Conversion Attribution, optimal SEA bid strategies, recommendations, dynamic pricing.

Mojan Hamed
Mojan Hamed

Data Scientist

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.

Come Join Us!
Come Join Us!

Come Join Us! spricht bei folgender Session:

Dr. Niklas Keller
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 spricht bei folgenden Sessions:

Sigrid Keydana
Sigrid Keydana

Data Scientist

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.

Dr. David Koll
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.

Andreas Kulpa
Andreas Kulpa

Partner Digitalization

Rund um den Einkaufs-, Logistik und Produktionsprozess gibt es Unmengen an konkretem Daten- und Digitalisierungspotential, aber auch vielen Dingen, die man nicht tun sollte. Mit Andreas Kulpa verstärkt sich die Kerkhoff Group (mehrfach prämierte Boutique Beratung) in diesem Feld. Andreas Kulpa verantwortete zuletzt den operativen Ausbau und inhaltlichen Ramp-up der DATAlovers AG. Der erfahrene Manager und Entrepreneur für datengetriebene Geschäftsmodelle verbindet intelligente IT-Lösungen und Advanced Analytics mit unterschiedlichsten Datensubstanzen.

Jack Lampka
Jack Lampka

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.

Christian Lindenlaub
Christian Lindenlaub

Data Scientist

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.

Jan Lindquist
Jan Lindquist

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.

Dr. Benedikt Mangold
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 spricht bei folgender Session:

Nikita Matveev
Nikita Matveev

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 spricht bei folgenden Sessions:

Diana Mozo-Anderson
Diana Mozo-Anderson

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 spricht bei folgender Session:

Stefan Oberg
Stefan Oberg

CEO

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. 

Michael Oettinger
Michael Oettinger

Data Scientist

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 spricht bei folgender Session:

Malte Pietsch
Malte Pietsch

Co-Founder

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.

Frank Pörschmann
Frank Pörschmann

Deputy Chairman

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.

Dr. Dennis Proppe
Dr. Dennis Proppe

Chief Data Scientist

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.

David Raab
David Raab

Gründer und Geschäftsführer

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.  

Dr. Nora Reich
Dr. Nora Reich

Senior Expert Customer Analytics

Dr. Nora Reich treibt seit 2018 die Nutzung von Data Science Lösungen an den Kundenschnittstellen der KfW Bankengruppe (Inland) voran. Aktuelle Machine Learning Projekte umfassen u.a. E-Mail Klassifizierung und Routing, Fraud Detection, Forecasting und Textmining. Dr. Nora Reich hat umfassende Expertise in der Nutzung analytischer Methoden als Basis für datengetriebene Business Lösungen und Entscheidungen, u.a. durch frühere Positionen bei DHL Paket GmbH und der Unternehmensberatung mm customer strategy.

Informationen zur Session mit Dr. Nora Reich folgen in Kürze.

Robin Röhm
Robin Röhm

CEO

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.

Lars Schleithoff
Lars Schleithoff

Data Scientist

Lars Schleithoff studierte Mathematik an der Universität Bonn mit Spezialisierung auf numerische Methoden im Machine Learning. Am Fraunhofer SCAI befasste er sich mit Machine Learning Modellen für die Anwendung in der Automobilindustrie. Heute ist Lars Data Scientist bei der Informationsfabrik. Sein Fokus liegt auf IoT und Predictive Analytics Lösungen für die Industrie. 

Dr. Christian Schneider
Dr. Christian Schneider

Senior Data Scientist

Dr. Christian Schneider ist Senior Data Scientist beim Online-Wetterportal wetter.com, wo er innovative Datenlösungen für zahlreiche namhafte Kunden entwickelt. Nach seiner Promotion an der ETH Zürich zum Thema „The rebustness of complex networks“ war er als Postdoc am Massachusetts Institute of Technology (MIT) angestellt. Dort forschte er unter anderem in den Bereichen Big Data und Environmental Engineering. 

Chris Schneider
Chris Schneider

Associated Head of Sales

Chris Schneider ist Associated Head of Sales bei der LexisNexis GmbH. Seit circa sechs Jahren ist er im Data & Analytics-Umfeld tätig und verfügt über einen großen Erfahrungsschatz hinsichtlich der Betreuung von Compliance-Projekten in der Finanz- und Bankenbranche. Er war bei zahlreichen Corporate-Projekten involviert.

Chris Schneider spricht bei folgender Session:

Alexey Shaternikov
Alexey Shaternikov

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.

Björn Stecher
Björn Stecher

CEO und Privacy-Nerd

Björn Stecher ist Geschäftsführer und Privacy-Experte der Beratungsagentur 1000Elephants GmbH. Als Speaker und Praktiker begleitet er seit 2017 den politischen Diskurs rund um das Thema Digitale Ethik und Datenethik. Als systemischer Organisationsberater und Jurist betrachtet er die gesellschaftlichen (digitalen) Herausforderungen aus zwei ganz unterschiedlichen Perspektiven und leitet daraus Handlungsempfehlungen für Kunden und Unternehmen ab.

Björn Stecher spricht bei folgender Session:

Simon Stiebellehner
Simon Stiebellehner

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.

Informationen zur Session mit Simon Stiebellehner folgen in Kürze.

Dr. Artur Suchwalko
Dr. Artur Suchwalko

Technical Director

Artur has over 20 years of professional experience in commercial projects applying Data Science &  Machine Learning / AI. Founder and Technical Director of QuantUp, in past CTO of MedicWave, and Credit Risk & Modelling Expert in Credit Agricole. Artur holds PhD in mathematics and is a co-author of a book on forecasting in R.

Prof. Dr. Gero Szepannek
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 spricht bei folgenden Sessions:

Martin Szugat
Martin Szugat

Geschäftsführer

Mit der Strategieberatung Datentreiber unterstützt Martin Szugat Unternehmen beim digitalen Wandel zu datengetriebenen Geschäftsmodellen und -prozessen. Seine Methode des Datenstrategie-Designs befähigt die Unternehmen individuelle und erfolgreiche Datenstrategien zu entwickeln und ermöglicht Ihnen konkreten Nutzen aus ihren Daten zu ziehen. Vor Datentreiber war Martin Szugat Geschäftsführer von SnipClip, einer Agentur für Social Media Marketing & Analytics-Lösungen. Der studierte Bioinformatiker hat im Bereich Machine Learning und Data Mining geforscht sowie als freiberuflicher Fachautor und IT-Berater gearbeitet. Seit 2014 betreut er als Programmdirektor die Predictive Analytics World-Konferenzen in Deutschland.

Martin Szugat spricht bei folgenden Sessions:

Martin Szugat moderiert folgende Sessions:

René Traue
René Traue

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.

Piotr Turek
Piotr Turek

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.

Dr. Jonas Vogt
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 spricht bei folgender Session:

Dr. Steffen Wagner
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 spricht bei folgender Session:

Phil Winters
Phil Winters

Experte für Strategien aus der Kundenperspektive

Auf internationalem Parkett gilt Phil Winters als der „Father of Customer Intelligence“, weil er leidenschaftlich für die Bedürfnisse der Kunden kämpft. Als Experte für Strategien aus der Perspektive des Kunden findet er immer neue Wege, die es Unternehmen ermöglichen, das Kundenerlebnis zu verbessern und die Loyalität ihrer Kunden zu stärken. Mit mehr als 300 Firmen weltweit hat Phil erfolgreich zusammengearbeitet. Heute gibt er seine Erfahrungen aus über 30 Jahren Praxis als unabhängiger Berater, Autor und Referent in Keynotes und Vorträgen sowie in Workshops und Seminaren weiter.

Phil Winters spricht bei folgenden Sessions:

Norbert Wirth
Norbert Wirth

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.

Tomasz Wyszyński
Tomasz Wyszyński

VP Marketing Analytics & AI

Michal Zmuda
Michal Zmuda

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.