INESC TEC
INESC TEC
INESC TEC
Search results for:
Filter your results

0 Search results

AIDA

INESC TEC

About Project

RAID is Wedo's flagship end-to-end real-time data management platform handling the entire risk management lifecycle of enterprises. RAID provides a highly flexible and robust processing pipeline consisting of data collection, monitoring, notification, discovery and actuation phases. Wedo's platform is currently applied around the world to handle, among others, revenue assurance, business assurance and fraud management. The current and anticipated market demand poses two major challenges to the existing RAID: i) the need to scale-out to unprecedented levels and ii) provide privacy and confidentiality guarantees when handling most of the input data sources, exacerbated when these stem from different owners or administrative domains. Meeting these new requirements poses complex scientific and technological challenges, including in topics that until now did not represent major issues such as cybersecurity, but also open market opportunities through the exploration of emergent federated machine learning techniques that will reinforce the analytic capabilities of the platform. The overarching goal of the AIDA project is to conceive a new version of the current Wedo platform in which some of the pipeline phases can be dynamically moved to the edges of the system. As of today, the platform is fully deployed in physically colocated servers, either on premises or in the cloud. While some phases are likely to always be kept under the platform's service owner, with AIDA data collection and monitoring, and even actuation phases should be prepared to run in diverse hardware architectures outside the platform's owner physical or even administrative control. AIDA should provide for highly configurable data collection and monitoring while preserving the current real-time, security and dependability guarantees. A complete prototype of AIDA will be deployed and demoed by the end of the project in a realistic scenario in the area of telecommunication services.

Project Datasheet

Acronym

AIDA

Responsible

Ricardo Manuel Pereira Vilaça

Status

Concluded

Start

January 12, 2020

End

January 30, 2023

Effective End

January 30, 2023

Global Budget

€1,183,005.00

Financing

€414,109.00

Members

Associated Centres

High-Assurance Software

At the High-Assurance Software Laboratory (HASLab), we improve practice through theory, creating and implementing software that goes beyond mere functionality: we ensure it is correct, resilient, and secure against failures and attacks. Our team of researchers, scientists, and engineers has proven expertise in software engineering, developing methods and tools to design and integrate robust software; in distributed systems, exploring distribution and replication to ensure scalability and reliability; and in information security, addressing cybersecurity challenges and improving systems with advanced, secure cryptographic protocols, thus minimising vulnerabilities. With a multidisciplinary approach supported by solid theoretical principles, we develop innovative solutions for critical software, secure cloud infrastructures, and privacy-aware big data management, driving scientific advancement, innovation, and high-level consultancy. In addition, we complement our core expertise with work in human-computer interaction, programming languages, computational mathematics, and quantum computing - because we believe the future of trustworthy software is built on knowledge and innovation.

High-Assurance Software

Artificial Intelligence and Decision Support

Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.

Artificial Intelligence and Decision Support