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 spricht bei folgender 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 spricht bei folgender 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. 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. Andreas is frequently consulting and speaking globally, e.g. at the European Commission and EU Parliament.
Dr. Andreas Braun spricht bei folgenden 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 spricht bei folgender Session:
Founder and Head of Data Science
Alex is the Founder of Sebenz.ai, a platform that creates jobs for people in Africa who earn money on their phones while labeling training data for machine learning models. He is also the founder of 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 spricht bei folgender 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 spricht bei folgender 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 spricht bei folgender 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 spricht bei folgenden 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 spricht bei folgender 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 spricht bei folgender Session:
Dr. Andres Hernandez
Senior Data Scientist
Andres Hernandez is Senior Data Scientist at Konux GmbH, helping to provide actionable insights to the rail industry. Before working at Konux, he spent over 8 years working in the financial industry forecasting time-series. Andres Hernandez holds a PhD in theoretical physics from the university of Heidelberg.
Dr. Andres Hernandez spricht bei folgender 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 spricht bei folgender 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 spricht bei folgenden Sessions:
Dr. Bodo Hüsemann
Herr Dr. Bodo Hüsemann ist seit 2005 für die Informationsfabrik GmbH tätig und hat über 14 Jahre Erfahrung als Architekt, Coach und Entwickler in Business Intelligence, Big Data und Machine Learning Projekten. Er studierte Wirtschaftsinformatik und promovierte an der Universität Münster. Seit 2009 ist er Partner der Informationsfabrik und verfolgt aktuell Themen rund um die Industrialisierung von Data Science Prozessen und den Aufbau von Analytics Plattformen in der Cloud. Darüber hinaus führt er als erfahrener Trainer BI-Schulungen und Praxisworkshops für Unternehmen sowie für die Universität Münster durch.
Dr. Bodo Hüsemann spricht bei folgender Session:
Denis holds a Master of Science in Management-Technology-Economics with Engineering form ETHZ Switzerland. He is continuing his studies in Applied Data Science: Machine Learning program at EPFL Switzerland.
Based on his industrial experience in Life Science industry, Supply Chain Management, Manufacturing and Logistics he is working in different fields of process integration, using artificial intelligence elements.
As one of the Initiators of AI4BD (Artificial Intelligence 4 Big Data) he is member of the management team. AI4BD is the leading provider of Cognitive business Robotics - CBR.
Denis Kangeldi spricht bei folgender 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 spricht bei folgender 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 spricht bei folgender Session:
Gründer & Forschungsleiter
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 spricht bei folgender 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 spricht bei folgender 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.
Informationen zur Session mit Dr. Johannes Kröckel folgen in Kürze.
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 spricht bei folgenden 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 spricht bei folgender 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 spricht bei folgender 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 spricht bei folgender Session:
Bohdan combines academic theories and practical approaches in the data science area. He is a Data Scientist at SoftServe company and an associate professor (Ph.D.) of Electronics and Computer Technologies Faculty at Lviv National University (Ukraine) and has more than 50 scientific publications. His current scientific interest lies in the area of quantitative linguistics, machine learning, predictive analytics, computer vision, social network mining, business intelligence, time series analytics, numeric modelling, risk assessment, reliability theory, financial modelling. He has practical experience in retail and supply chain analytics, customer’s behavior analytics, fraud detection. In predictive analytics models, he combines machine learning and Bayesian inference that is an effective approach for forecasting and risk assessment in the business processes with non-Gaussian statistics. He works on the state-of-the-art predictive analytics solutions, taking part in Kaggle competitions where he has a Master degree and 3 gold medals for top positions in leaderboards. As a teammate, he won one Kaggle competition (“Grupo Bimbo Inventory Demand”) among nearly two thousand teams where he and his team proposed the best solution for sales forecasting in the chain of nearly 800 thousand stores.
Bohdan Pavlyshenko spricht bei folgender 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 spricht bei folgender Session:
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 spricht bei folgenden 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 spricht bei folgender 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 spricht bei folgender 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 spricht bei folgenden Sessions:
Dr. Sandro Saitta
Chief Industry Advisor
Dr. Sandro Saitta is a data science passionate. He has applied data science in academia and in industries such as Finance, Telco, Chemicals, Online Travel and Retail. He is currently Chief Industry Advisor at the Swiss Data Science Center (EPFL/ETHZ). Sandro is a lecturer for the CAS Data Science & Management (EPFL/UNIL). He co-founded the Swiss Association for Analytics to promote Data Science in Switzerland. Sandro holds a PhD in Computer Science from EPFL.
Dr. Sandro Saitta spricht bei folgender Session:
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 spricht bei folgender Session:
Director of Laboratory Informatics and CORE Center for Computational Health
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 spricht bei folgender Session:
Dr. Michael Soucek
Senior Manager Data Science and FS Lead Scientist
At Accenture Applied Intelligence Michael is currently responsible for the data science financial services offering for German and Swiss market. Besides his hands-on experience, in his day to day job Michael is acting as analytics translator covering various areas of data driven transformation agenda and brings almost 10 years of experience in building and leading data science and ML engineering capabilities.
Dr. Michael Soucek spricht bei folgender 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.
Simon Stiebellehner spricht bei folgender Session:
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:
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.
Informationen zur Session mit Dr. Sebastian Wernicke folgen in Kürze.
MSc in Computer Science and published scientist interested in machine learning and modern software engineering.
Valon Xhafa spricht bei folgender Session: