PAST WEBINARS

The health crisis due to COVID-19 is shaping a new reality in which the exchange and access to health data in a secure way will be more and more necessary. In this complex challenge converge both the respect for the individual rights as well as the interests of the patients and the need to promote the research in pursuit of the public interest. To face this challenge, we can find different approaches across Europe. In this webinar, we will present the experiences of three EU-funded projects (BigMedilytics, BodyPass, and DeepHealth), besides an overview of the legal framework and recommendations to enforce both national regulations and GDPR by an expert in data privacy and security.

The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. The insurance and finance services industry is rapidly transformed by data-intensive operations and applications. FinTech and InsuranceTech combine very large datasets from legacy banking systems with other data sources such as financial markets data, regulatory datasets, real-time retail transactions, and more, improving financial services and activities for customers.

This session aims to analyze in-depth the challenges, limitations and longer-term perspectives of these pilots as well as other existing relevant ongoing projects and activities in other programmes. Based on this analysis, the aim is to outline future research and innovation needs in terms of convergence and alignment of the basic technologies and their utilization in industry and especially SMEs. Outcomes of this workshop will be relevant for the future research and innovation activities in both the EuroHPC JU, and the AI, Data, and Robotics Partnership, and are meant to support alignment in between both partnerships.

Whether you are a business line manager, a technology developer, or a researcher you’ll be interested to hear how different industries implement big data and their benchmark achievements in terms of revenue growth, profitability, and cost savings, as well as the quality of services or customer satisfaction. A strong focus on use cases will help participants to relate their experiences with the ones presented in the webinar. And we’ll tell you about our star performers – a group of companies who achieve the highest revenue and profit improvements leveraging big data. Finally, the results presented in the webinar will also be available soon in an interactive way through the DataBench Toolbox.

How can BDV Data Science Badges help in the selection of job candidates? Would your university like to issue badges that recognize data science skills?

This webinar will explain the initiative being led by the BDVe project in collaboration with the BDVA Skills Task Force to recognize data science skills acquired through formal education. The main goal of this work is to address the needs of the different stakeholders in the data science ecosystem: university students, academia, and industry. This initiative is based on the use of Open Badges which are issued by universities to students that have demonstrated that they have gained data science skills that were identified as being relevant to industrial needs.

What approaches are being taken to tackle the policy challenges within the big data landscape, and how are these solutions coping in reality? This webinar will address these issues through the perspective of two projects: e-SIDES and SMOOTH.

Daniel Bachlechner, of e-SIDES, will discuss the organizational and technical challenges that privacy-preserving big data technologies present, and how an increased level of dialogue between stakeholders can pave the way for appropriate and fair solutions. Rosa M. Araujo Rivero will delve into the main challenges experienced by SMEs and startups in dealing with GDPR compliance. Rosa’s work with the SMOOTH project will demonstrate how the proposed solutions are experienced in practice.

The webinar intends to provide some tips to help start-ups involved in Big Data and data-driven economy to successfully face the investment phase and to maximize their chances to get external funding for their future endeavor.

The BDVA Smart Manufacturing Industry group is going to present in this webinar, challenges and opportunities related to the adoption of Big Data-driven solutions in the manufacturing domain. Following the grand scenarios defined by EFFRA (Smart Factory, Smart Supply Chain, Smart Product), the discussion will make use of real cases and pilots from research projects to elaborate on the topic.

Do you know how data-driven approaches can influence the policy cycle and the benefits derived from this? Have you ever participated in a policy-lab, collaborating with other stakeholders to develop and test a policy? In this session, Anne Fleur van Veenstra from TNO will delve into current practices, insights and lessons learnt from current policy-lab projects, followed by Francesco Mureddu, from the Lisbon Council, who will look ahead and identify the main challenges and opportunities by presenting and discussing a roadmap for Future Research Directions in data-driven Policy Making.

In the Internet of Everything, huge volumes of multimedia data are generated at very high rates by heterogeneous sources in various formats, such as sensors readings, process logs, structured data from RDBMS, etc. The need of the hour is setting up efficient data pipelines that can compute advanced analytics models on data and use results to customize services, predict future needs or detect anomalies. This Webinar explores the TOREADOR conversational, service-based approach to the easy design of efficient and reusable analytics pipelines to be automatically deployed on a variety of cloud-based execution platforms.

The second of the BDVe series of webinars related to Big Data technologies presents the QROWD project. Elena Simperl (University of Southampton) will provide an overview and technical details on how human interaction and crowdsourcing could help in different steps of the data value chain, from data acquisition to data curation and completion, etc. Examples on how to add human in the loop in the domains of Smart Cities and Smart Transportation will be provided.