The BigDataStack Data Toolkit aims at openness, extensibility and wide adoption. The toolkit allows the ingestion of data analytics functions and the definition of analytics in a declarative way. It allows data scientists and administrators to specify requirements and preferences both for the data, the analytic functions parameters and infrastructure management. This BigDataStack service is composed of the Data Toolkit and Process Mapping software components, and visualised through the Data Visualisation technologies to improve its usability.
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 are 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.
In this series, BigDataStack is taking each of its six services under the looking glass, highlighting its software components, their functionalities and place in the BigDataStack infrastructure management. Each service consists of a set of software components that allow for specific Big Data applications and operations, that will be showcased. For you, to have a quick understanding of the added value of the BigDataStack software for your own business, BigDataStack partners have prepared a series of videos. We kick this series off with the BigDataStack Data Visualisation Service.
The Connected Consumer use case utilizes the BigDataStack environment to implement and offer a recommender system for the grocery market. All of the data that are used to train the analytic algorithms of the use case are corporate data provided by one of the top food retailers companies in Spain. The final goal of the scenario is to make use of the capabilities of BigDataStack to produce in-store tailored recommendations to customers at the on-line applications of the food retailer.
The BigDataStack project published all software components, most of them Open Source in the online catalogue available here: https://bigdatastack.eu/the-bigdatastack-solution
The catalogue provides you with a downloadable factsheet for each of the components, information on its license and access to the code on GitHub or GitLab for the Open Source components.
Three BigDataStack team members attended the European Big Data Value Forum (EBDVF) on Artificial Intelligence and Big Data transforming Business and Society, in October 2019, in Helsinki. Ana- Belén Gonzalez (Atos) Leads the exploitation work in BigDataStack, Mauricio Fadel (NEC) is BigDataStack’s connection to the BDVA where he joins the technical and coordination meetings. Bin Cheng, Senior researcher at NEC European labs, gave a talk during EBFVF on Enabling Smart Manufacturing with Federated AI at the Edge about his research on edge computing, developed in BigDataStack. We video interviewed them there and asked about their main takeaways
Authors are invited to submit original research work to the BIGDATASERVICE 2020 workshop on Big Data Infrastructures For Data Intensive Applications. The workshop takes place at the Sixth IEEE International Conference on Big Data Computing Service and Machine Learning Applications on 13 April, in Oxford. The deadline for submission is extended to 31 January.
Real Time Ship Management Danaos use case. A Seafarer's vessel has to complete its route within a specific time-frame. When a part of the main engine fails unexpectedly, the ship risks staying off-hire. This can be very damaging to a shipping company, as chartering revenues decrease, while replacing a spare part immediately increases cost. The seafarer needs identification of potential failure to allow timely ordering, or even replacement of spare parts before failure.