A BigDataStack for Industry - a focus on retail, shipping and insurance: is BigData the real future of emerging business?

Objectives:

The purpose of the event is to raise awareness on the benefits of adopting bigdata solutions inside the industrial sector. Data are among the most valuable product nowadays, their exploitation inside industry will twist the market over the next few years and while a lot a research and innovation is already taking place all over the world, a proper adoption plan to be shared among players is still missing. An open discussion with leading figures in the field will raise questions and pose new benchmarks to be analysed and taken onboard by small to large enterprises.

Description:

After 3 years of research and innovation, BigDataStack project finally deployed a software able to analyse data in a holistic fashion across multiple data stores and from several sources, handling analytics on both data in flight and at rest.

A complete suite for big data analytics, real-time, cross-stream processing, predictive algorithms and process mining, tested on 3 real cases scenarios in retail, shipping and insurance.

Its final event: “A BigDataStack for Industry - a focus on retail, shipping and insurance: Is Big Data the real future of emerging business?” is taking place inside the colorful framework of the European Big Data Value Forum (EBDV), with the purpose of putting the stress on adopting a bid data culture among industries.

The event will bring together gurus from the project in the retail, shipping and insurance domains, and Big Data experts opening a panel of discussion with the wide audience.

Being at the end of this exciting journey in research and ready to start another inside business, the event will open a discussion on possible applications of Big Data analytics to everyday life, on how similar solutions will ease the life of data analysts and optimise user experience and business performances. In 2020, data is definitely among the most exploited products in the market but we still have a long way to go to fully understand its value, integrate it inside companies and get the most out of it.

The European Big Data Value Forum (EBDVF) is the flagship event of the European Big Data and Data-Driven AI Research and Innovation community organised by the Big Data Value Association (BDVA) and the European Commission (DG CONNECT).

With a focus on “AI and Big Data Transforming Business and Society” and more than 90 speakers coming from the public sector, innovative companies, leading research bodies and exciting start-ups, the EBDVF 2020 edition aims to spread the data culture among industries, bringing all the benefits of cutting edge, big data technologies into small to large enterprises.

With a shared vision about the future of data, the natural match between the two events will find a place on the 5th November, both online, at https://www.european-big-data-value-forum.eu/ and physically, in Berlin.

Watch the recordings now!

Agenda

Our speakers

Dimostenis Kyriazis (UPRC)

Dimosthenis Kyriazis is an Associate Professor at University of Piraeus (Department of Digital Systems). He received his diploma from the school of Electrical and Computer Engineering of the National Technical University of Athens (NTUA) in 2001 and his MSc degree in “Techno-economics” in 2004. Since 2007, he holds a PhD in the area of Service Oriented Architectures with a focus on quality aspects and workflow management. His expertise lies with service-based, distributed and heterogeneous systems. Before joining University of Piraeus, he was a Senior Research Engineer at the Institute of Communication and Computer Systems (ICCS) of NTUA, having participated and coordinated several European-funded projects (e.g. BigDataStack, 5GTANGO, MATILDA, CrowdHEALTH, ORBIT, COSMOS, VISION Cloud, IRMOS, etc.) focusing his research on issues related to distributed computing architectures, data management and analytics, performance modelling, deployment and management of virtualized infrastructures and platforms.

Stathis Plitsos (Danaos)

Dr. Stathis Plitsos is a senior researcher and Head of Development at DeepSea Technologies, a proud member of Danaos Corporation.

He holds a PhD in Operations Research and Decision Support Systems. He has worked in many national and European research projects.

Over the past 2 years, he focuses on IoT, big data optimization and AI approaches for the shipping industry.

 

Bernat Quesada (Worldline)

Computer Engineering degree from the Polytechnic University of Catalonia.

Joined Worldline Spain in 2013 as Project Manager within the Merchant Services division of Worldline. He is specialised in e-commerce solutions for the retail sector.

Previously, he had been working for more than 15 years within the retail & industry division of Atos as Project Leader and Business Expert in projects related to the field of warehouse automation.

Maurizio Megliola (GFT)

Maurizio Megliola is a Project Manager at GFT Italia. He received the degree in Information Technology from the University of Genoa in 2000. He worked in TXT e-solutions until 2011, in both commercial and R&D projects. Joined Piksel in 2012, he acted as Project Manager in several European-funded projects (e.g. PERIPHERIA, ELLIOT, TELL ME, LINDA) in areas like Smart Cities, Internet of Things, Technology-Enhanced Learning and Linked Data and Analytics. Joined GFT in 2017, he is currently working in the Horizon 2020 funding research (e.g. BIGDATASTACK, FINSEC, INFINITECH). He has published several referred papers in international journals and conferences proceedings. The most relevant scientific background includes Technology-enhanced Learning, Knowledge management and ontologies, Big Data and analytics, Future Internet technologies.

Anestis Sidiropoulos (ATC)

Graduate of School of Informatics, Aristotle University, Thessaloniki.

10+ years of experience working as software engineer.

He has strong professional skills in Agile Methodologies and Telecom Infrastructure.

He has been focusing on Full Stack Web Development and DevOps. Currently Team Leader in an iLab team and Google DNIs.

Ray Walshe (BDVA)

Asst Professor Ray Walshe, Chair of BDVA Standards, Chair of Network Development, Gender Responsive Standards Initiative @ United Nations Economic Commission for Europe (UNECE) Ray is an Assistant Professor in the Faculty of Engineering and Computing in Dublin City University (DCU), IRELAND and Chair of BDVA Standards Group. He began his career in industry as a software engineer, software consultant and project manager with LM Ericsson, Software and Systems Engineering Limited and Siemens. Joining the lecturing staff in the School of Computing DCU in 1995 he delivers modules on Undergraduate, Masters, and PhD Programmes and is Chair of the Graduate Diploma in Web Technologies postgraduate programme. He is Chair of the External Advisory Board of StandICT.eu, H2020 Partner in StandICT2023.eu and Co-Lead on ELITE-S Fellowship Programme for Emerging Technologies Standardization (Elite-Fellowships.eu). Ray was appointed to the Working Group IEEE European Public Policy Committee on ICT in 2019 and is currently the AI WG Lead for IEEE EPPC. Other roles include Digital Leader with World Economic Forum , NSAI National Expert on Cloud, Big Data and AI, , ISO/IEC AI Standards Editor, Editor for the International Journal of ICT Standards (JICTS), Member of Editorial Board of JICTS, Member of H2020 Think Tank - ThinkNEXUS, PICASSO EU-US Technologies Expert and Member Next Generation Internet NGI Consultation Platform. In February 2019 Ray was appointed Member of United Nations Economic Commission for Europe (UNECE) Regulatory Cooperation and Standardization Policies. In 2020 Ray was appointed United Nations Gender Responsive Standards Initiative (GRSI) Lead of the Working Group on Network Development and also appointed to OECD Network of Experts in AI (ONE AI).

Yosef Moatti (IBM Haifa)

Yosef Moatti is the BigDataStack Coordinator and he is a senior researcher at IBM Research Haifa. His research interests include Big Data analytics and storage frameworks. Moatti has a doctorate in computer science from Télécom

Céline Xu 

Celine Xu is a data scientist lead and she's been working in the field for more than 8 years now. She advocates applying analytics to generate action-orientated insights and scalable solutions to steer business decisions.
Celine is passionate about leveraging the data and transforming AI capabilities / advanced analytical algorithms to end-to-end products to improve companies’ business performance rather than only provide more information.
With 8+ years excellent track records of analytics and machine learning, Celine has a wide range of industry experiences, e.g. retail, financial service. she has experience in consumer re-segmenting &re-targeting, Omni channel customer behaviour analysis, product portfolio optimization and next best action prediction applied models e.g. decision trees, clustering, auto regression moving average, association & sequence model etc.
In past 3 years, her focus on the advance analytics and ML modelling in customer value analytics and company performance optimization fields, e.g. Recommendation engines, time series forecasting, and price optimization.
Celine has an applied mathematics degree from Shanghai Jiao Tong University, China and an MBA degree focus on digitalization strategies and financial evaluation from Cass Business School, London.                              

Tatu Kuivalahti (Custobar)

Tatu Kuivalahti has a long experience on strategic utilization of customer data for improving the customer experience.

He is a serial entrepreneur and the co-founder of Custobar Ltd. which is a fast growing SaaS company based in Helsinki, Finland.

Tatu Custobar has several hundreds of customers in more than 13 different countries in Europe and the US.

Through this position, Tatu has a broad view on digital marketing and customer data.