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).

Rohit is the Chief Data Officer at Bizom (Mobisy Technologies Pvt Ltd), where he leads a dynamic team of data scientists and software engineers. His team focuses on advancing retail analytics through cutting-edge machine learning and deep learning techniques, with his insights regularly featured in India's top financial publications. Rohit previously spent 11 years at GE, tackling complex data challenges in healthcare and life sciences. 

An active Manning Reviewer, he has reviewed numerous books and live projects on deep learning and NLP. Rohit is also an accomplished speaker, having presented at international conferences such as the Predictive Analytics Conference in Munich (2019,2024), Berlin (2020, online), and Las Vegas (2022, 2023), Data Engineering Summit 2024 (India). Rohit holds a master’s degree in Information Technology and a bachelor’s degree in Computer Science

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.

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.

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.

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

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.

Dubravko Dolic studied Empirical Sociology and Statistics in Oldenburg and Ulster (IE). After some first working experience in the areas of Pharmaceutical and E-Commerce he became self-employed consultant and entrepreneur with his company dsquare.de. As such he delivered IT-Consulting and Analytical programming for customers over more than ten years in different areas. Programming with data since 1996 he took the role as Head of Applied Analytics & AI at Continental Tires in 2017.

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.

Grzegorz (Greg) Gawron, is a Senior Staff Software Engineer at LiveRamp. He is focused on applications of privacy-enhancing technologies. During his recent engagement at the IQSS OpenDP Fellows program at Harvard, he explored the privacy implications of split learning. He obtained his Master's degrees in computer science and economics from Warsaw University and is currently working toward a computer science PhD at AGH in Krakow.

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.

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.

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.

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. 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.

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. 

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.

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.

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.

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.

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.

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!

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.

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).

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.

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.

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.

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.

SK is the Chief Product officer AI in Hexagon (www.hexagon.com). He is also an AI expert and a successful twice startup entrepreneur. He is a frequent speaker in conferences and an AI blogger.

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.

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. 

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.

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.

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.

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.

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.

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.

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 has 20 years successful track record and experience in the technology sector. After a five year tenure at Cisco, he has been a founder, CEO, and executive for fast-growing technology companies since 2001.

Dr Sebastian Wernicke is a partner at Oxera, a leading economics and finance consultancy, where he leads the Data Science practice. Together with his team, he helps companies and governments tackle some of the world’s most challenging problems with data and AI. Sebastian is also known for his – sometimes more, sometimes less serious – TED talks on the subject of data.

MSc in Computer Science and published scientist interested in machine learning and modern software engineering.