Radosław Kita

Head of Data Science, Ringier Axel Springer Polska

He has been dealing with data analysis and the use of machine learning methods for over twenty years. He had the pleasure of working for Onet.pl, TVN, Allegro, Veon, Showmax and Adform. Currently, he leads a team of Data Scientists and Machine Learning Engineers at Ringier Axel Springer Polska.
Privately, he is passionate about sailing, Argentine tango, lindy hop and diving.

Paweł Wnuk

Director of R&D, Shop.AI

After many years of pursuing scientific research, currently responsible for leading the research and development of R&D project founded by NCBR in Shopai. Pawel specialises in computer vision products, implementing the State Of The Art solutions utilizing deep convolution networks. The new technology, besides achieving high accuracy of the modes, offers high scalability. The solutions are compatible with the enterprise production environment requirements. Leading a group of talented Data Scientists, linguists and engineers - is on the way to revolutionize the way the companies are communicating with their users- by introducing Virtual Assistants with unique features including visual search, automated tagging or personalisation. Previously working with Samsung Research, R&D, Artificial Intelligence, Data Intelligence - as a principal investigator - developing tools for automated knowledge extraction, machine learning models and privacy-preserving AI tools based on GAN approach. Holding a PhD in physics, for many years working as a researcher (Max Planck Institute for Quantum Optics, Ludwig Maximilian University, Montana State University, Polish Academy of Sciences, University of Warsaw), authoring more than 30 international publications and 6 patents.

Dr. Benedikt Mangold

Senior Data Scientist ,GfK

Benedikt Mangold is working as a Senior 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. He studied mathematics and economics and earned his doctorate at the University of Erlangen-Nuremberg where he also conducts lectures concerning statistics, Data Science, and programming courses

Chris Rybarczyk

Senior Software Engineer , Codete

Krystian is a happy husband and father to two little chaps. He loves to learn new things and is truly fascinated by programming, which he learnt at Imperial College London. He has gained his work experience in technology companies in Munich, London and Palo Alto. Hacking in the JVM world he has worked on event-based systems for high throughput, leveraged the potential of functional programming and Scala for working with Big Data . More recently he has moved to frontend development and works with React and TypeScript. He spends a substantial amount of his free time trying out various recipes from all around the world. He is also able to make probably one of the best coffees you have ever had.

Alan Rezazadeh

Analytics Research Scientist, Southern Alberta Institute of Technology (SAIT)

Alan Rezazadeh has been working in Alberta, Canada for the last 25 years with the main focus on energy data analytics and governance. His previous professional engagements include pipelines, oil & gas and public sector organizations regarding performance improvement, data governance and quality monitoring. Alan earned a PhD degree in Computer Science from University of Regina, Canada in 1995. His recent activities include applications of statistical tools and machine learning in environmental processes such as pollution/emission reduction, industrial condition based monitoring and surveillance.

Dr. Wolfgang Faisst

Co-Founder & CEO, ValueWorks GmbH

Dr. Wolfgang Faisst is Co-Founder & CEO of ValueWorks.ai and heads the "Business Model Innovations" working group of AcaTech's German AI initiative and is a lecturer at the Universities of Bamberg and Bayreuth.Previously, he held numerous strategic innovation positions within SAP. These included the founding and management of SAP Exchange Media as a business network for digital advertising and the SAP Store as an e-commerce platform for marketing SAP and partner solutions. In addition, he was head of product management for the "SAP Business Suite powered by SAP HANA“ driving the start of SAP S/4 HANA, SAP’s core product.In this function, he initiated the SAP Marketing Cloud and drove the strategic development of the most important SAP solution with regard to Cloud and Big Data and later also in the direction of Artificial Intelligence and digital business models as part of the Intelligent ERP initiative. In his responsibility, the offering and collaboration model for development partners in the cloud was redefined. As head of "On-Demand Service Solution Management" and co-lead for the first SAP Cloud Program, he laid the foundation for SAP's cloud offerings.Before joining SAP, Dr. Faisst worked as a management consultant and senior project manager for Bain & Company in the Munich, Zurich and London offices. He advised international key accounts on strategic IT issues and leading IT companies. He is co-founder of the IT practice group of Bain & Company in the German-speaking countries.Previously, he worked for Prof. Dr. Dr. h.c. mult. Peter Mertens at the University of Erlangen-Nuremberg on the subject of "Virtual Enterprises and their IT Support" and worked as a research assistant at the Bavarian Research Center for Knowledge-Based Systems.

Yael Rosenber

Director, Technological Infrastructure Division, Israel Innovation Authority

Yael Rosenberg is a Director at the Technological Infrastructure division at the Israel Innovation Authority. In this position she is responsible for promoting industry needs for R&D infrastructure, enabling technological development and fostering stronger cooperation between companies as well as knowledge transfer from academia to the industry. Yael has vast experience in the field of R&D development as well as in leading development teams in various Israeli tech companies and industries, including cyber security, data storage, medical devices and telecommunications. Yael holds a M.Sc in Computer Science from the Israeli Bar-Ilan University.

 

Magdalena Dziewguć

Head of Google Cloud, Central & Eastern Europe, Google Cloud

Magdalena Dziewguć is a manager with many years of experience in the new technologies sector. She studied law and psychology. Magda holds an Executive MBA from SGH and completed the GMP at Harvard Business School. She has been working for Google since 2014. Before that she was a vice-chair of Exatel SA and a member of a number of supervisory boards. Since the year 2000, she co-created a telecommunications services market for online business for companies such as Orange and Plus. She is the co-founder of Digital University and LiderSHE in Poland.
Magda’s expertise focuses on new technologies and their impact on business processes within organisations. She is an expert in the fields of innovation, restructuring and building the culture of engagement and partnership. On a daily basis, she is a mum of three: Adam, Sonia and Franek. She actively works on projects which develop the presence of women in the public sphere. Magda strongly believes that two factors change the world for the better: new technologies and more decisions taken by women.

Pola Nowakowska

Specialist, Data&AI, Chmura Krajowa

Pola implements a number of projects in the area of Data & AI. In February 2021, she joined Chmura Krajowa, where she specializes in creating image recognition and chat and voice bots models. She also creates financial reports and analyzes. She has experience in the field of Customer Intelligence and Machine Learning algorithms used there, which she acquired while working for one of the leading IT companies in Poland. She also worked in banking, where she developed her competences in the area of Business Intelligence.

Jakub Czajkowski

Cloud Engineer, Data&AI, Chmura Krajowa

Jakub joined Chmura Krajowa in April 2020. He gained his previous experience mainly in sectors related to industry, where his tasks included the construction of analytics supervising the work of gas turbines. Passionate about the latest solutions based on artificial intelligence and machine learning. In Chmura Krajowa he has so far implemented projects related to chatbots, image recognition, data warehouse development and BI.

Stanisław Magierski

Customer Engineer, Google Cloud

10+ years experience in IT, from a developer in a startup in Asia, through SAP BI consultant for largest manufacturing and FMCG customers, CTO for global AdTech startup, to building from ground-up Google Analytics 360 business in CEE in Google and growing #polishcloudvalley in Google Cloud sales engineering. Focusing on digital transformation for businesses across sales, marketing, omni-channel communication and customer care platforms. Stan's background is technical (MSc in Automatics and Robotics).

Justyna Orlowska

Departament GovTech Polska - Centrum GovTech (Chancellery of the Poland's Prime Minister of the Republic of Poland)

Grzegorz J. Nalepa

Head of the Jagiellonian Human-Centered AI Laboratory (JAHCAI) Jagiellonian University, KnowAI.eu

Grzegorz J. Nalepa (GJN.re) is a full professor at the Jagiellonian University, formerly at the AGH University of Science and Technology, in Krakow, Poland. He is an engineer with degrees in computer science - artificial intelligence, and philosophy. He also works as an independent expert and consultant in the area of AI (KnowAI.eu). He co-authored over two hundred research papers in international conferences and journals. He has been involved in tens of projects, including R+D projects with number of companies. He authored a book "Modeling with Rules using Semantic Knowledge Engineering" (Springer 2018). In 2020 he founded to Jagiellonian Human-Centered AI Laboratory (JAHCAI). His recent interests include applications of AI in Industry 4.0 and business, explainable AI, affective computing, context awareness, as well as intersection of AI with law.

Piotr Mieczkowski

Managing Director, Digital Poland

Dr. Maria Börner

Program Manager, Adap GmbH

The usage of AI models is increasing worldwide. However, traditional AI setups with central training in a cloud or a server have several disadvantages: leak of data privacy, high latency, complex infrastructure, and high energy consumption in data centers due to cooling. Federated learning brings AI training to the data and resolves these mentioned problems by design. We will answer questions as to what federated learning is, can it be used for your project, and how can it be implemented in your existing projects?

Wioletta Stobieniecka

Analytical Consultant, SAS

Data Scientist with over 6 years of experience, an open-mindedness and a deep passion for solving real-world problems using advanced statistical and machine learning tools. Expert in statistical learning methods, both in theory and practice. Analyst with extensive experience especially in antifraud analytical solutions with major focus on building predictive models in industries like banking, insurance or telco. For almost two years engaged in computer vision related projects applying both classical and deep learning techniques. Broad exposure to both open source and commercial software (Python, SAS, R, and others). Advocate for ModelOps & DataOps. Recently she has deep dived into analytics for healthcare.

Christophe Bourguignat

CEO, Zelros

Christophe Bourguignat is Chief Executive Officer and Co-Founder of Zelros. He founded the company in Paris in 2016 together with Fabien Vauchelles and Damien Philippon with the vision of building a software company specialized in the insurance industry. His goal is to drive digitization in insurance companies, optimize their physical and digital distribution as well as the customer journey. Christophe also founded FrenchData in 2016, an influential think tank promoting the French data scene. Previously, he was Big Data Lead at insurance group AXA, among others. He has around 20 years of expertise in IT, with a particular focus on artificial intelligence, machine learning, cyber security and Big Data technologies. Christophe also holds a Master of Science in Engineering from the French engineering school CentraleSupelec.

Jens Leucke

General Manager DACH, freshworks

As General Manager DACH at freshworks, Jens Leucke leads the expansion of the IT company in Germany, Austria, Switzerland and Liechtenstein, from building a comprehensive team of sales talent and experts, presales, partner management to customer success management. He has extensive experience in the sales area, from medium-sized businesses to public clients to large corporations, and previously worked in sales, presales and customer service for international IT companies. As a result, he has extensive experience in the development of business strategies and their implementation, as well as comprehensive IT know-how through his bachelor's degree in Information Technology from the Duale Hochschule Baden Württemberg (DHBW).

Andrzej Ermel

Digital Advisor, Elitmind

Andrzej was involved in analytics projects in companies such as IBM, Atos and PGE for over eight years. He specializes in delivering data and analytics solutions focused on enabling data-driven decision making in business domains. He co-led the development of the largest data warehouse solution in the Polish energy sector, as well as one of the first predictive maintenance solution for wind turbines. Speaker at Data Science Summit in 2019 and 2020.

Dr. Michał Kozielski

Senior specialist - R&D manager, data analyst, Łukasiewicz Research Network - Institute of Innovative Technologies EMAG

Michał Kozielski received the M.Sc. and Ph.D. degrees (both with honours) in computer science from the Silesian University of Technology, Gliwice, Poland, in 2003 and 2008 respectively. He is an Assistant Professor at the Department of Computer Networks and Systems, Silesian University of Technology (SUT), Gliwice, Poland and a Senior specialist - R&D manager, data analyst at Łukasiewicz Research Network - Institute of Innovative Technologies EMAG. His research interests include machine learning, predictive analytics, adaptive systems and clustering. In recent years he was involved in several research and development projects related, among others, to data mining and decision support systems.

 

Vladimir Urayev

Sales Lead for AI Driven Enterprise, Juniper

Vladimir Urayev is the Sales Lead for AI Driven Enterprise in Juniper, for South and Central Europe. In this role, Vladimir leads Juniper AIDE business, fueled by Mist and 128T technologies. Prior to that, Vladimir led Juniper’s DC&Cloud business in the region.

Dr. Danko Nikolić

Head of Artificial Intelligence, evocenta GmbH

Danko is an expert in both brain research and AI. For many years he has run an electrophysiology lab at the Max Planck Institute for Brain Research. Also, he is an AI and machine learning professional heading a Data Science team and developing commercial solutions founded in AI technology. He has a degree in Psychology and Civil Engineering from the University of Zagreb, Croatia. He obtained his PhD at the University of Oklahoma, USA.

Przemysław Gamdzyk

CEO & Meeting Designer, Evention

For years, a journalist and editor specializing in the thematic area of ​​ICT in the business, technological, organizational and human perspective. He was the editor of Computerworld. He collaborated with Polityka and the Republic of Poland. Later he took up business development. He has always treated the creation of effective areas of understanding in business - expressed in writing, in the world of the Internet or in the form of physical meetings - as the fundamental value and foundation of his activity. He has completed several hundred publishing and event projects.
Within a few years he built the IDG Business Media conference business, he was also the director of programs for executives at the IDG Poland publishing house. Member of the Council of the Foundation "Mikromakro Institute" - ThinkTank, of which he was a co-founder. Currently, the President of a company specializing in the organization of effective business events. In total, almost 20 years of experience in the media area of ​​the ICT market. He combines strict education and an analytical mind with a wide area of ​​interest and knowledge, and a deep respect for the humanities. A graduate of the Faculty of Mathematics, Informatics and Mechanics at the University of Warsaw - a student of prof. Władysław Turski. He completed post-graduate studies in "Social Communication" organized by the Institute of Literary Research of the Polish Academy of Sciences and the Foundation for the Promotion of Science. He participated in a number of trainings and workshops to improve managerial competences, project management skills and the art of public speaking, or the use of electronic communication tools and interactive marketing messages.

Piotr Wawryka

Software Developer, Data Scientist, Codete

Piotr has over 5 years of commercial experience writing Python applications. He is a software developer and data scientist at Codete since 2017 and a PhD student at AGH University of Science Technology. His main field of interest is Neural Networks and their practical applications. He gives speeches at meetups and international conferences.

Karolina Kukla

Philip Morris International

Giuseppe Angelo Porcelli

Principal, Specialist Solutions Architect - Machine Learning, Amazon Web Services

Giuseppe works as Principal Machine Learning Specialist Solutions Architect at AWS. With multi-years software engineering an ML background, he works with customers of any size to deeply understand their business and technical needs and design AI and Machine Learning solutions that make the best use of the AWS cloud platform and the AWS Machine Learning stack. He has worked on projects in different domains, including MLOps, Computer Vision, NLP, and involving a broad set of AWS services, from Amazon SageMaker, AWS Glue, AWS Step Functions, to Amazon S3, Amazon AppStream, AWS CodePipeline, etc. He loves addressing the whole ML lifecycle with customers, including networking, security and compliance. Recently, he has worked with large enterprises on industrializing and standardizing the development of AI/ML solutions enabling MLOps with governance at scale.

Samuel Rostam

Adjunct Professor, Senior Certified Technical Trainer, New York Institute of Technology, Arcitura Education 

Samuel Rostam is a senior technical advisor and an adjunct professor at Ney York Institute of Technology in Cybersecurity program.
He has extensive experience in developing digital strategies, business architecture blueprints with governance frameworks essential for establishing roadmaps in AI, BigData, Service integration and Cloud adoption, at the same time managing business risks successfully. Clients include a wide range of industries including US and Canadian Government agencies, as well as start-ups in eHealth and Blockchain. Previously in California, he was a Senior Enterprise Consultant at Sun Microsystems, focusing primarily on EAI projects for Fortune 100 US customers. Since 2010 he has been conducting technical workshops for globally recognized certification programs, including Machine Learning, AI, Bigdata science, Blockchain Architecture, Cloud Architecture, SOA Architecture, Service Security & Governance, plus Business Architecture with BizBok & TOGAF. Samuel is an expert in leveraging Design Patterns as reusable proven solutions for establishing an architectural framework while communicating with the stakeholders a predictable business outcome regardless of the technical complexities. He completed an MSc in Computing Science at SFU, with partial studies at a PhD program at the University of British Columbia. Samuel has extensive hands-on experience with several public Cloud platforms in particular AWS, software design and development, agile projects, Web services, API design, middleware integration, performance tuning, containers, security, and governance systems.

Clodéric Mars

Product & R&D strategy, AI Redefined Inc

Clodéric Mars is working on Product & R&D strategy at AI Redefined. For more than 15 years, he has pursued one goal: fostering the collaboration between Humans and AIs. At INRIA then at Golaem and MASA Group he has worked on explicit AI techniques applied to video games, simulation and special effects. Clodéric contributed to the development of AIs used, for instance, to create digital extra for the tv show « Game of Thrones » or for military training in more than 20 countries. In 2015, he co-founded craft ai to focus on making machine learning explainable and performant, he helped build a multidisciplinary team and product that ran AIs in production for 10+ B2B customers. In 2020, he joined AI Redefined to help build a product to further the synergy between Humans and AIs.

Sagar Kurandwad

Researcher, AI Redefined Inc

Sagar Kurandwad: Sagar Kurandwad is a researcher and developer with nearly 10 years of experience in leading teams and developing end-to-end custom solutions in Computer Vision, Natural Language Processing/Generation/Understanding, and Recommender Systems for organizations in IoT, Renewable Energy, Smart Cities, Real Estate, Advertising, and Media domains. As a Machine Learning Developer at AI Redefined Inc, he invests his time in discovering potential opportunities and researching and developing AI algorithms, systems, and technologies to enhance the company's offerings. Sagar earned his Masters in AI from the University of Edinburgh, UK in 2011.Sagar Kurandwad: Sagar Kurandwad is a researcher and developer with nearly 10 years of experience in leading teams and developing end-to-end custom solutions in Computer Vision, Natural Language Processing/Generation/Understanding, and Recommender Systems for organizations in IoT, Renewable Energy, Smart Cities, Real Estate, Advertising, and Media domains. As a Machine Learning Developer at AI Redefined Inc, he invests his time in discovering potential opportunities and researching and developing AI algorithms, systems, and technologies to enhance the company's offerings. Sagar earned his Masters in AI from the University of Edinburgh, UK in 2011.

Jörg Schad

Head of Engineering and Machine Learning, ArangoDB

Jörg Schad is Head of Engineering and Machine Learning at ArangoDB. In a previous life, he has worked on or built machine learning pipelines in healthcare, distributed systems at Mesosphere, and in-memory databases. He received his Ph.D. for research around distributed databases and data analytics. He’s a frequent speaker at meetups, international conferences, and lecture halls.

Mike Kiser

Senior Identity Strategist, SailPoint Technologies

Mike Kiser is insecure. He has been this way since birth, despite holding a panoply of industry positions over the past 20 years— from the Office of the CTO to Security Strategist to Security Analyst to Security Architect—that might imply otherwise.. In spite of this, he has designed, directed, and advised on large-scale security deployments for a global clientele. He is currently in a longterm relationship with fine haberdashery, is a chronic chronoptimist (look it up), and delights in needlessly convoluted verbiage. He speaks regularly at events such as the European Identity Conference and the RSA Conference, is a member of several working groups, and has presented identity-related research at Black Hat and Def Con. He is currently a Senior Identity Strategist for SailPoint Technologies

Gopi Krishnamurthy

Director of Engineering, Head of Data Platforms and Infrastructure, Growth

Uzi Blum

Head of Data Analytics, Taxfix

After working in the field of data intelligence in 4 countries and with dozens of companies, I took the role of being responsible for the data analytics at Taxfix. Taxfix is one of the most successful and fast-growing FinTech startup companies in Europe.

Bart Veenstra

Director of Prototyping, Backbase

Bart Veenstra is Director of Technology Prototyping at Backbase and focusses on doing research of new products, paradigms and technologies to excel banking to new levels

Mario Meir-Huber

Head of Data, UNIQA Insurance Group AG

Arkadiusz Lubina

Artificial Intelligence & Project Management, Team Manager, BNP Paribas

Dawid Kucharski

Artificial Intelligence and Process Design specialist, BNP Paribas

Currently responsible for developing machine learning solutions for operations. Previous experience in logistics, procurement & data analysis.

Prof. Dr. Patrick Glauner

Founder and CEO, skyrocket.ai GmbH

Patrick Glauner is the Founder & CEO of skyrocket.ai GmbH, an AI consulting firm in Bavaria, Germany. He is also a Full Professor of Artificial Intelligence at Deggendorf Institute of Technology since age 30. Previously, he was Head of Data Academy at the AI consulting firm Alexander Thamm GmbH, headed the corporate AI competence center at Krones Group and managed AI projects at the European Organization for Nuclear Research (CERN). His works on AI were featured by New Scientist, McKinsey, Imperial College London, Udacity, the Luxembourg National Research Fund and others.

Marc Weimer-Hablitzel

Michael Bornholdt

Technical Project Manager, Springbok AI

Michael Bornholdt has a background in physics and computer science and has been working on chatbots at Springbok AI for almost two years. He specializes in technical project management of Rasa chatbots and pushing the boundaries of current Rasa bots.

Julian Quernheim

Senior Consultant, BIVAL GmbH

Julian Quernheim has more than 6 years of experience in analyzing data and turning it into valuable business knowledge. Holding two master degrees in Network Economics and Information Management & Business Intelligence, he currently works as a senior data scientist at BIVAL GmbH in Ingolstadt, consulting top global clients and specializing in developing analytical web applications bringing machine learning closer to the end-user.

Nataliia Kees

Data Scientist, qdive GmbH

As a data scientist at qdive GmbH, Natalia specializes in developing machine learning applications with a focus on natural language processing (NLP) and transparency of AI applications. She has an academic background in social sciences and computer sciences and her main fields of interest comprise transformer models, active learning, model interpretability and model uncertainty.

Kannan Chandrasekaran

Senior Data scientist, Microsoft

Kannan is currently working as a Senior Data Scientist in Microsoft and has almost 11 years of Industry experience. He believes in Technovation and completed various projects through strategic planning, creative thinking and most importantly action.

Bhaskar Kamireddy

Data Scientist, Delivery Hero SE

Bhaskar is a Data scientist having almost 6.5 years of industry experience and currently working in Delivery Hero. He specializes in Machine learning, Deep learning and NLP. He is a big fan of agile practices, lean product development & extreme programming practices.

Tomasz M. Rutkowski

Research Scientist at RIKEN AIP, Tokyo, Japan

Tomasz (Tomek) M Rutkowski is a researcher and educator born in Poland. He lives in Japan since 1998 and focuses his professional activity on computational neuroscience (neurotechnology), multi-sensory (multimedia) applications, artificial intelligence, and intelligence augmentation. He developed an award-winning tactile (haptic) brain-computer interface and he is also active in multi-sensory (auditory, visual, tactile, etc.) media design. Tomek contributed also to a design of a direct brain-music interface with Prof. Furukawa’s team (Tokyo National University of Fine Arts and Music) and he has been involved in research on brain correlates of creativity together with Prof. Okada (The University of Tokyo). Currently is he is an AI research scientist at RIKEN AIP in Tokyo where his research has been focused on human intelligence augmentation (IA) for dementia prevention and passive BCI development with the support of deep learning techniques. For a full publication list please check http://tomek.bci-lab.info/publications/

Giulia Baccarin

Co-founder, MIPU Predictive Hub

Giulia Baccarin is a Biomedical Engineer with a thesis on fall prediction using wearable sensors. After a meaningful experience in a consultancy company in Japan, she returned to Italy in 2008 to found the Italian headquarters of what is now the largest European company specialized in predictive maintenance. In 2012 to promote and support young talents in Italy she founded what we call now MIPU Predictive Hub, a group of companies dedicated to bringing predictive techniques and artificial intelligence into factories counting today a team of 60 people and projects running with the major international industrial groups. For over 5 years she has been actively engaged in promoting a profound discussion about the role of ethics in artificial intelligence and gender diversity in the STEM fields.

Franziska Boenisch

Researcher at Fraunhofer AISEC

Franziska has completed a Master’s degree in Computer Science at Freie University Berlin and Technical University Eindhoven. For the past 2 years, she has been working at Fraunhofer AISEC as a Research Associate in topics related to Privacy Preserving Machine Learning, Data Protection, and Intellectual Property Protection for Neural Networks. Additionally, she is currently doing her PhD in Berlin.

Jakub Nalepa

Head of AI, KP Labs Assistant Professor, Silesian University of Technology

Jakub Nalepa received his MSc (2011) and PhD (2016) in Computer Science (both with distinction) from Silesian University of Technology (SUT), Gliwice, Poland. He is currently Head of AI at KP Labs, a NewSpace company from Gliwice, Poland, and Assistant Professor at SUT. Jakub has been instrumental in defining the scientific AI objectives of KP Labs. His research interests focus on machine (deep) learning, signal processing and analysis, and remote sensing. So far, he has published more than 100 peer-reviewed papers in journals and conferences (see the full list at: https://scholar.google.com/citations?user=kt6EnKcAAAAJ&hl=en). He has been awarded the IEEE Geoscience and Remote Sensing Society 2020 Interactive Session Prize Paper Award at IEEE IGARSS 2020, the Witold Lipski’s Prize (2017), and the POLITYKA Science Award (2020). He is an active reviewer in 80+ journals.

prof. dr. Maurits Kaptein

Professor of data science, Tilburg University & co-founder Scailable

Prof. dr. Maurits Kaptein is CEO and co-founder of Scailable (www.scailable.net) and a professor of data science at the University of Tilburg / JADS. Maurits his research work focusses on sequential learning (MAB problems), causal inference, and computational methods. Scailable aims to make the deployment of trained AI/ML models to embedded devices easy and secure.

Alison B Lowndes

Artificial Intelligence Developer Relations (AI DevRel) NVIDIA | EMEA

Joining in 2015, Alison spent her first 18 months as a Deep Learning Solutions Architect and is now responsible for NVIDIA's Artificial Intelligence Developer Relations across the North American & EMEA region (Europe, Middle East, Africa). She is a mature graduate in Artificial Intelligence combining technical and theoretical computer science with a physics background & over 25 years of experience in international project management, entrepreneurial activities and the internet. She consults on a wide range of AI applications, including planetary defence with NASA, ESA & the United Nations and works closely with the community of AI & Machine Learning researchers around the world, remaining knowledgeable in state of the art across all areas of research. She also advises on & teaches NVIDIA’s GPU Computing platform, around the globe. Twitter: @AlisonBLowndes.

Christian Merkwirth

Data Science/AI Lead responsible for company wide AI roadmap, Flyr Inc

Christian Merkwirth is a Data Science Lead at Flyr where he applies Deep Reinforcement Learning to the build next generation of airline revenue management systems. Prior to this, he worked on various projects in Google, including the Google Accelerated Science (GAS) team. Christian’s interest in Statistics, Machine Learning, and Dynamical Systems began 20 years ago when working on his PhD in Nonlinear Physics. He is author of one of the first publications on Graph Neural Networks in 2005. His expertise combines various fields of advanced numerical methods, including Statistical Learning, Time Series Forecasting and High Performance Computing. Putting those approaches into practical use is a main motivation for Christian.

Dominik Ogonowski

Co-founder, CEO, Data Juice Lab

Dominik Ogonowski has over 20 years of marketing and credit risk management experience in leading banking institutions. He has managed a number of process’ projects and implemented solutions based on Agile methodology. His key competence is using statistical models to optimize business processes both in assets and liabilities areas. He provides competence excellence in country-wise and European regulatory. He has international experience in business projects’ management. Dominik Ogonowski has gained his experience in risk management, collection and monitoring, deposit products management and marketing. He was a permanent member of ALCO, Risk Committee and Supervisory Board Audit. Over years of his work he was responsible for defining and implementing credit policy, risks identification and monitoring, building analytical models, supporting customers’ segmentation, implementing regulatory requirements. He has strongly focused efforts on operational, business and risk processes automation both in retail and business segments as well as  implementing Early Warning Systems and fraud detection

Dr Marcin Chlebus

Co-founder, Chief Data Scientist, Assistant Professor, Data Juice Lab, University of Warsaw

Dr Marcin Chlebus specializes in econometrics, statistics and machine learning. He combines this expertise with widespread knowledge of economy and business. His broad set of skills on methodology and IT tools supporting business decisions and processes, as well as wide knowledge and experience provides a high level of expertise in projects on methodology and/or implementation of analytical solutions. He also has extensive project leadership experience, especially in developing advanced analytical methods. Over several past years he has specialized in advanced predictive models solutions’ deployment (mainly in R and SAS). Dr Marcin Chlebus is a head of Data Science program and an assistant professor on Faculty of Economic Sciences at the University of Warsaw in the Quantitative Finance Department. In his academic work he focuses on effectiveness analysis of different predictive and segmentation methods (econometrical models, bagging and boosting algorithms, neural networks, clustering etc.).

Nina Meinel

Strategy & Data Science, Syncier Analytics

Nina’s journey always had been about data. Teaching statistic and econometrics at the university in Erlangen-Nuremberg, working for over 10 years in market research in data science, data strategy and data partnership and now being part of the insurance journey connecting data to something meaningful.

Prof. Dr. Thomas Kopinski

Professor, University of South Westphalia

Prof. Dr. Thomas Kopinski is leading the data science lab at the University of applied sciences South Westphalia, Germany. He is currently responsible for two large data science projects, one embedded in the field of predictive maintenance for automobile parts (3y funding, ~800.000€) and the deconstruction of nuclear power plants within the context of energy transition in Germany (3y funding, ~1.5M€). A team of six data scientists are currently engaged in these projects applying machine learning techniques to solve complex research tasks under his supervision. Before that he was engaged in a wide range of research and industry-related projects in the scope of machine learning. He has +12y of experience in teaching, all related to computer science, machine learning and mathematics and is enthusiastic towards passing on his knowledge he gathered during his work both in the industry and in academia.
Thomas Kopinski has gathered experience in the industry e.g. working as a freelancer in the mobile tech industry and was responsible for the acquisition of new customers as well as in concepting and the realization of smart application for mobile devices. He earned his PhD from the Université Paris-Saclay where he developed a hand gesture recognition system using deep learning techniques.

Jesse Anderson

Managing Director, Big Data Instutite

Jesse Anderson is a Data Engineer, Creative Engineer and Managing Director of Big Data Institute. He works with companies ranging from startups to Fortune 100 companies on Big Data. This includes training on cutting edge technologies like Apache Kafka, Apache Hadoop and Apache Spark. He has taught over 30,000 people the skills to become data engineers. He is widely regarded as an expert in the field and for his novel teaching practices. Jesse is published on Apress, O’Reilly, and Pragmatic Programmers. He has been covered in prestigious publications such as The Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired.

Amit Dingare

Director of Data Science, Novelis

Amit Dingare currently works as a Director of Data Science at Novelis, a leading producer of rolled aluminum with a revenue of $11 Billion USD. Amit leads a global team of Data Scientists based in various parts of the world. Amit and his team leverages Machine Learning to solve complex operational problems. Amit has previously led Data Science/Machine Learning teams in various industries such as Healthcare, Digital Marketing and Retail. Amit holds a bachelor’s degree in Engineering and an MBA with focus on Computational Finance from Cornell University.

Jakub Sołtys

Solutions Architect, Bank Millennium

Physicist, architect/developer and classical singer. Solutions Architect at Bank Millennium responsible for AI solutions. Open Source enthusiast and contributor. A PhD graduate of physics at the Institute of High Pressure Polish Academy of Science.

Łukasz Bezulski

AI Team Leader, Bank Millennium

For 10 years associated with the broadly understood analytics in the financial and telecommunications industry. He has experience in the implementation of complex analytical projects, including segmentations and modeling environments. Currently, at Bank Millennium, he is responsible for the development of the use of ML and AI. A graduate of mathematics at the Warsaw University of Technology.

Michael Shtelma

Senior Solutions Architect, Databricks

Databricks Senior Solutions Architect and ex-Teradata Data Engineer with focus on operationalizing Machine Learning workloads in cloud.

Alexander Piutti

Founder & CEO, SPRK.global GmbH

Alexander Piutti is a serial entrepreneur, angel investor, and innovation coach, who is deeply committed to social impact. Alex loves two things: innovation and working with ambitious and creative minds. This led him to build multiple entrepreneurial ventures, including Global Venture Partners, Overture (sold to Yahoo! for $1.6 bn), GameGenetics, SirPlus, Rehago, and, most recently, SPRK.global. After a cancer misdiagnosis in 2014, Alex chose to apply his entrepreneurial prowess to more meaningful work in the social impact sector. Since then, he has channelled his energy into for-profit ventures that address the world’s most pressing challenges. Alex actively collaborates with other founders and out-of-the-box innovators to build economic social enterprises. He has partnered with Samsung, Volkswagen, DHL, Daimler, Alba, and Deutsche Bahn, as well as the City of Berlin and the United Nations to help them fulfill their initiatives. Alex grew up in Meerbusch, Germany and Hong Kong. He holds a Bachelor in Electrical Engineering (Automation) from the University of Applied Sciences in Düsseldorf, an MBA from the Wharton School of Business, and an MA in International Studies from the University of Pennsylvania’s Lauder Institute. Alex lives in Berlin, Germany with his wife and two small children.

Dr. Vlad Ardelean

Senior Data Scientist, GfK

Dr. Vlad is working as a Data Scientist at GfK in Nuremberg with over 7 years of experience in the fields of statistics and machine learning. As a data science lead, he focuses on developing end-to-end solutions with a cross functional team, especially in the area of data quality. He completed his studies in mathematics/economics at the Friedrich Alexander University in Erlangen- Nuremberg. There he also did his doctorate on the identification of outliers in time series.

Tivadar Danka

Co-founder, telesto.ai

Tivadar is a researcher by training, holding a PhD in mathematics. After advancing the state-of-the-art in the analysis of microscopic images in an academic setting, he set out to co-found telesto.ai, where his goal is to democratize AI for everyone. In research, he saw that a properly organized machine learning competition can supercharge the problem-solving process. Currently, he is working on developing a platform that can harness the power of the crowd to produce production-ready solutions, not just proof of concepts.

Konrad Banachewicz

Lead Data Scientist, eBay Classifieds Group

Konrad holds a PhD in statistics from Vrije Universiteit Amsterdam. During his period in academia, he focused on problems of extreme dependency modeling in credit risk. Starting from vintage statistics, he slowly moved towards data mining and machine learning (this was before the terms 'data science' or 'big data' became ubiquitous). In the decade and a half since his PhD, Konrad worked in a variety of financial institutions on a wide array of quantitative data analysis problems. In the process, he became an expert on the entire lifetime of a data product cycle: from translating business requirements ('what do they really need'), through data acquisition ('spreadsheets and flat files? really?'), wrangling, modeling and testing (the actually fun part), all the way to presenting the results to people allergic to mathematical terminology. He has visited different ends of the frequency spectrum in finance, predicted potato prices and analyzed anomalies in performance of large scale industrial equipment. As a person who himself stood on the shoulders of giants, Konrad believes in sharing the knowledge with others: it is very important to know how to approach practical problems with data science methods, but also how not to do it. Konrad seems addicted to data analysis, so in his spare time he competes on Kaggle ('the home of data science').

Andreas Dunsch

CEO, FlyNex GmbH

Andreas Dunsch is co-founder and CEO of FlyNex. During and after his 13 years of service with the German Armed Forces, he earned two degrees in history and business administration. During his professional career, he has worked extensively with unmanned aerial vehicles and learned that the success of civilian UAV applications depends on the data provided and the processes installed. After working as a research assistant in the field of unmanned aerial systems, he founded FlyNex, one of the most promising drone technology startups in Germany.

Burak Özen

Senior Data Scientist, Ebay Classified Group (eCG)

Currently Amsterdam-based and working at eBay. Senior Data Scientist with M.Sc degree in Machine Learning and 7 years of professional business experience. Highly experienced in teaching due to previous part-time jobs as a Data Science Instructor in different universities and private educational institutions. Keynote speaker at lots of conferences. Special Interests : Human Behaviour Patterns, Predictive Analytics, Predictive Marketing, Recommenders, Personalisation, Data Mining, Machine Learning and Deep Learning. Domain Knowledge Expertise: e-Commerce, Telecommunication and Classifieds (Marketplaces)

Tanuj Jain

Senior Machine Learning Engineer, Axel Springer AG

Machine learning engineer working at Axel Springer AG, Berlin since December 2019. He was previously a part of Data Science team at idealo Internet GmbH. His current interests revolve around deep learning research. He completed his M.Sc. in Electrical Engineering from Paderborn University in 2015 and he has been working the field of Data Science ever since. He is very interested in leveraging the power of machine learning to empower businesses and measure the impact thus created.

Nicolas Correa

IT Manager AI, Philip Morris International

Nicolas Correa holds a Bachelor Degree in Computer Science with more than 10 years of experience within different companies (PwC, IBM, Avaya, Philip Morris International), and has proven success in leading IT projects, software development functions, strategic initiatives, and staff members.
Solid history of success in planning and implementing large-scale enterprise systems focused on fulfilling operational gaps and increasing profitability. Developing high performing teams, and executing assigned projects within timely and budgetary constraints. Strong focus on identifying process improvement, recommending cost-effective solution while driving change and innovation, and skilled in reducing costs, building team’s capacity, improving information flows, and streamlining functions. Throughout his career, he has established a track record of success by leveraging a collaborative leadership style to accomplish all short- and long-range objectives. An engaging and articulate communicator, he is able to clearly convey complex technical information and propose novel solutions to build consensus with key project stakeholders, including high-value clients and executive leadership. Furthermore, his consistent focus on remaining at the forefront of rapidly evolving technology allows him to drive enterprise-wide innovation and maintain a competitive advantage.

Shashin Mishra

Director Data Science & Analytics, Publicis Sapient

Shashin Mishra is a Director of Data Science & Analytics at Publicis Sapient. He is a senior technology leader and data science director with over 18 years of experience solving complex business problems, creating data science strategy and scaling up the data science teams across industry sectors. Led multiple programs delivering over £100 Million in value to the clients in the last 5 years with teams ranging from 5 to over 80.

Sray Agarwal

Associate Director Data Science, Publicis Sapient

Have around 10+ years of leadership experience in data science and machine learning with deep understanding of algorithm and statistical learning. Professionally, he is quite versatile in the way he approaches  a business problem and tries to bring in a new dimension to problem solving approach. Experienced in credit risk modelling, transaction data-based risk scorecard, liquidity modelling, next best action modelling, customer churn modelling, insurance modelling, financial crime models, graph-based crime modelling, financial distress modelling, business customer risk models.He actively write for various publications and blogs. He has also been invited as lecturer and speaker in multiple forums. His current areas of interest are fair and explainable ML. He has been awarded MVP in AI by Microsoft recently.

Michał Cyrek

AI & Data Director, Ringier Axel Springer Polska

Manager with over 10 years of experience in the IT industry. At Ringier Axel Springer Polska as AI & Data Director responsible for Data Strategy - covering the areas of analytics, reporting, monetization, data science and related IT projects. A graduate of the EAIiE AGH Faculty in Krakow. For over 15 years, he has been specializing in solutions for advanced data analysis, process optimization and innovation. In his free time, he is an avid amateur cook, lover of a good book and Pinot Noir

Wojciech Mac

Manager of Artificial Intelligence Development Agency in Orange Poland

Wojciech is responsible for implementation of Max – the voice and chat bot that talks to customers contacting Orange. He is connected with Orange for almost twenty years. He started from reporting and analytics for customer care. His experience includes leading a team managing billing and invoicing process, its quality and performance. He was managing analytics and strategy for electronic channels of customer contacts. He is physicist, he received a PhD in semiconductor physics form Warsaw University.

Dr. Maryam Ramezani-Bartsch

Global Director, Marketing & Personalization Intelligence, Adidas

Dr. Maryam Ramezani-Bartsch is an innovative executive leader in data product & digital strategy. Maryam joined adidas in 2015 and led data stream in their digital transformation by setting up global consumer insights & data science teams. Maryam has more than 15 years of experience in creating business value from data in corporate, start up and academia. . Maryam has a PhD in data mining from Karlsruhe University in Germany .

Karol Przystalski

CTO&Founder, Codete

Obtained a PhD degree in Computer Science in 2015 at the Jagiellonian University in Cracow. CTO and founder of Codet. Leading and mentoring teams at Codete. Working with Fortune 500 companies on data science projects. Built a research lab for machine learning methods and big data solutions at Codete. Gives speeches and trainings in data science with a focus on applied machine learning in German, Polish, and English. Used to be an O’Reilly trainer.

prof. Philip Treleaven

Professor & Director of UK Financial Computing Centre, University College London

Twenty-five years ago his research group development much of the early fraud detection technology and built the first insider dealing detection system for the London Stock Exchange. For the past 18 years Prof. Treleaven’s research group has developed algorithmic trading systems with many of the leading investment banks and funds, and for the past 6 years they have worked on automating Regulation, Systemic Risk and RegTech with the Bank of England, FCA and other Regulators. Current research includes the application of machine learning and blockchain
technology to asset manag3ment and regulation, and legal technology. (Treleaven is credited with
coining the term RegTech.) He has also launched 9 start-ups.

Paolo Perrotta

Developer, Author

Paolo Perrotta is a traveling software mentor. He wrote "Programming Machine Learning" and "Metaprogramming Ruby", and produced the popular “How Git Works” training for Pluralsight. He speaks a lot — at conferences and, according to his friends and family, pretty much anywhere else.

Jaekob Chenina

General Partner, Product Alliance

Jaekob Chenina is on a mission to empower businesses with AI that customers actually use and love. Currently Jaekob is building AI features and leading product for Oracle CX Audience, an Analytics and Segmentation platform for digital marketers. Before Oracle, Jaekob led AI feature development for Adobe Sensei, founded an AI-Analytics startup and worked as a data scientist. In his free time, Jaekob YouTube’s about his latest insights on building AI products and teaches MBA classes at the Marriott School of Business as an adjunct professor.

Mostafa Mousavi

Research Scientist, Stanford University

Mostafa Mousavi received an M.S. degree in Civil/Risk Engineering from the University of Tehran in 2010 and the M.S. and Ph.D. degrees in geophysics from the University of Memphis in 2014 and 2017 receptively. He is currently a Research Scientist at Stanford University. Mostafa Mousavi’s research is at the interface of earthquake and exploration seismology and an interdisciplinary blend of seismology, statistics, and computer science. He has developed statistical signal processing methods for seismic signal denoising and decomposition, used machine learning for earthquake signal detection and characterization, studied crustal and upper mantel attenuation, studied the seismic hazard assessment of induced seismicity, and performed statistical analyses of Spatio-temporal patterns of seismicity.

Dat Tran

Managing Director, Dat Tran Ventures

Dat is a seasoned entrepreneur and technologist with extensive experience in building, managing and successfully leading small and large tech organizations. Previously, he headed Axel Springer AI, the Artificial Intelligence division of Axel Springer SE, where his role was to bring AI into the group and thus promote innovation. He also co-headed the data team at idealo.de where he built up the machine learning team from scratch. His team mainly focused on computer vision problems from teaching a computer to understand aesthetics to upscaling low-resolution images. Dat's interests are diverse from traditional machine learning, deep learning, AI in general to computer vision and NLP. He is a regular speaker and has presented at several renowned conferences. He also blogs about his work on Medium. His background is in Operations Research and Econometrics. Dat received his MSc in Economics from Humboldt University of Berlin.

Steve Hershman

Director, mHealth, Stanford University

Enzo L. Fenoglio

Data Scientist, Cisco Systems France

Enzo Fenoglio is a data scientist with Cisco Systems France working in the Emerging Technologies & Incubation group (ET&I). Enzo holds an MSc in Electronic Engineering and Physics from the Polytechnic of Turin (Italy) and has 35+ years of international experience in the high-tech industry scouting for advanced technologies for large scale applications. His main areas of research interest are AI/ML, machine reasoning, and computational topology. Enzo has 40+ filed patents on DL/ML, is an international speaker, author of peer-reviewed papers, and internal member of the Cisco Patent Committee.

Antje Barth

Sr. Developer Advocate, AI & Machine Learning, Amazon Web Services (AWS)

Antje Barth is a Developer Advocate for AI and Machine Learning at Amazon Web Services (AWS) based in Düsseldorf, Germany. She is co-author of the O'Reilly Book, "Data Science on AWS". Antje is also co-founder of the Düsseldorf chapter of Women in Big Data. She frequently speaks at AI and Machine Learning conferences and meetups around the world, including the O’Reilly AI and Strata conferences. Besides ML/AI, Antje is passionate about helping developers leverage Big Data, container and Kubernetes platforms in the context of AI and Machine Learning.
Previously, Antje worked in technical evangelism and solutions engineering at MapR and Cisco where she worked with many companies to build and deploy cloud-based AI solutions using AWS and Kubernetes.

Elliott (Feng) Ning

Cloud Advisor, Google

A passionate technology advisor of Google for cloud AI, data analytics and infrastructure modernization to bring business opportunities into reality. Previously Elliott has been working in Oracle to help top tier organizations by developing solutions and strategies on cloud and data center transformation. His educational background includes Master's degrees in Software Engineering and Manufacturing Management from universities in the US and UK.

AI@Enterprise Summit 2022

Practical applications of Artificial
Intelligence in business

 

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