We are pleased to announce the BDVe webinar series related to Big Data technologies and business insights showing results of EU projects funded under topics related to the Big Data Value PPP. This webinar series aims to offer a shared space for communication and potential engagement for projects and other stakeholders in the big data landscape.
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 main goal of the DataBio project is to show the benefits of Big Data technologies in the raw material production from agriculture, forestry and fishery/aquaculture for the bio-economy industry to produce food, energy and bio-materials responsibly and sustainably. DataBio proposes to deploy a state of the art, big data platform on top of the existing partners’ infrastructure and solutions – the Big DATABIO Platform. Achieved impacts are measured against anticipations. In this webinar, we present the impact of the DataBio project and of its big data platform after three years of implementation, and we illustrate some of the novel breakthroughs on practical cases of artificial intelligence applications that are meaningfully boosting crop monitoring businesses with a global potential.
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.
Worried about data privacy in big data? Don’t be! In this webinar we are going to present the approach of the SPECIAL project to address the contradiction between Big Data innovation and privacy-aware data protection. We will present the SPECIAL platform that allows:
– The acquisition of user consent and associated data and metadata.
– Catering for privacy-aware, secure workflows.
– Support for privacy preserving innovation in Big Data environments.
– Viz via a dashboard to make privacy in Big Data comprehensible and manageable for data subjects, controllers and processors.
Worried about the learning curve to introduce Deep Learning in your organization? Don’t be. The DEEP-HybridDataCloud project offers a framework for all users, including non-experts, enabling the transparent training, sharing and serving of Deep Learning models both locally or on hybrid cloud system. In this webinar we will be showing a set of use cases, from different research areas, integrated within the DEEP infrastructure.
The DEEP solution is based on Docker containers packaging already all the tools needed to deploy and run the Deep Learning models in the most transparent way. No need to worry about compatibility problems. Everything has already been tested and encapsulated so that the user has a fully working model in just a few minutes. To make things even easier, we have developed an API allowing the user to interact with the model directly from the web browser.
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.
BigDataOcean brings a digital revolution to the maritime industry by creating a large maritime big data infrastructure that enables collaborative, data-driven intelligence. BigDataOcean will allow analytics based on diverse data resources, coming from public and private providers. In this webinar, Spyros Mouzakitis and Giannis Tsapelas will present a demo of the BigDataOcean platform and discuss the challenges and lessons learned so far.
The BDV Innovation Marketplace aims at the promotion of innovation results of the Big Data PPP projects and results to a wider public by means of an interactive interface that enables matching the big data solutions demand and supply side, as well as facilitating the interaction between all participants. These webcasts explain the motivation and benefits of the innovation marketplace, complemented with a “walkthrough” guide explaining how to add new big data solutions or search for existing ones.
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.
You have probably heard about the Big Data Value PPP and the Big Data Value Association, but, are you sure you know what is behind them? Do you know which are the priorities and objectives of the European strategy on Big Data Research and Innovation and the way European payers’ money is being invested? What is a data platform, data sharing initiatives, or data market size? And a data space? Is Europe lagging behind the US and China as we are usually told? And looking at the future. Which steps are being taken to define a data-driven Artificial Intelligence? Too many questions that start with a single answer: your attendance to this webinar.
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.
Learn about how the Transforming Transport Lighthouse Project is helping to transform the Transport and Logistics domains using big data technologies. Lessons learned, pitfalls, innovation potential and business insights.
Come and learn about Ocean Protocol, a blockchain powered infrastructure built specifically to enable data sharing. It addresses a lot of the challenging issues surrounding data privacy, trust, security, auditability, and control, which is a key factor hindering data sharing in the private sectors.
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.
This webinar presents the DataBench project. Arne Berre (SINTEF) will explain the efforts to characterise and reuse big data benchmarking frameworks from a technical perspective, and share details of the degree of support that DataBench will provide to other projects and big data practitioners to benchmark big data tools and applications. Gabriella Cattaneo (IDC) will provide ideas on how big data benchmarking could help organizations to get better business insights and take informed decisions.