Despite rising investments on BigData, AI and IoT in finance/insurance, financial and insurance organisations are still facing many challenges (i.e. data “silos”, regulatory complexity, lack of testbed resources) in realizing the full potential of these technologies. INFINITECH is a joint effort of global leaders in ICT and finance towards lowering the barriers for BigData/IoT/AI driven innovation, boosting regulatory compliance and stimulating additional investments. It will provide: 1)Novel BigData/IoT technologies for seamless management and querying of all types of data (e.g., OLAP/OLTP, structured/unstructured/semi-structured, data streaming & data at rest), interoperable data analytics, blockchain-based data sharing, real-time analytics, as well as libraries of advanced AI algorithms. 2)Regulatory tools incorporating various data governance capabilities (e.g. anonymization, eIDAS integration) and facilitating compliance to regulations (e.g., PSD2, 4AMLD, MIFiD II). 3)Nine novel and configurable testbeds & sandboxes, each one offering Open APIs and other resources for validating autonomous and personalized solutions, including a unique collection of data assets for finance/insurance. The project’s results will be validated in the scope of 14 high impact pilots providing complete coverage of the sectors, including Know Your Customer (KYC), customer analytics, personalized portfolio management, credit risk assessment, preventive financial crime analysis, fraud anticipation, usage based insurance, agro-insurance and more. INFINITECH will establish a market platform that will provide access to the project’s solutions, along with a Virtualized Digital Innovation Hub (VDIH) that will support innovators (FinTech/InsuranceTech) in their BigData/AI/IoT endeavors. Based on their strong footprint in the European digital finance ecosystem, the partners will engage stakeholders from all EU-28 countries, making INFINITECH synonymous to disruptive BigData/AI innovation in the target sectors.

AI4PublicPolicy is a joint effort of policymakers and Cloud/AI experts to unveil AI’s potential for automated, transparent and citizen-centric development of public policies. To this end, the project will deliver, validate, demonstrate and promote a novel Open Cloud platform (i.e. AI4PublicPolicy platform) for automated, scalable, transparent and citizen-centric policy management based on unique AI technologies. The AI4PublicPolicy platform will be an Open Virtualized Policy Management Environment (VPME) that will provide fully-fledged policy development/management functionalities based on AI technologies such as Machine Learning (ML), Deep Learning (DL), NLP and chatbots, while leveraging citizens’ participation and feedback. It will support the entire policy development lifecycle, based on technologies for the extraction, simulation, evaluation and optimization of interoperable and reusable public policies, with emphasis on citizen-centric policies development and optimization through the realization of citizen-oriented feedback loops. AI4PublicPolicy will complement public policy development functionalities with the ever-important process reengineering and organization transformation activities towards ensuring the effective transition from legacy policy development models to emerging AI-based policymaking. The AI4PublicPolicy VPME will be integrated with EOSC with a dual objective. First to facilitate access to the Cloud and HPC resources of EOSC/EGI that are required to enable the project’s AI tools, and second to boost the sustainability and wider use of the project’s developments. AI4PublicPolicy’s business plan for sustaining, expanding and commercializing the AI tools and the VPME is based on the development of a community of interested and engaged stakeholders (i.e. public authorities and other policymakers) around the project’s platform.

The infrastructures of the financial sector are nowadays more critical, sophisticated and interconnected than ever before, which makes them increasingly vulnerable to security attacks. Despite increased security, most security measures remain fragmented and static i.e. inappropriate for confronting sophisticated and asymmetric attacks. FINSEC is a joint effort of prominent stakeholders in the financial sector and global leaders in physical & IT security, towards introducing a novel standards-based reference architecture (RA) for integrated (cyber & physical) security. The RA will enable timely preparation against attacks, while at the same time facilitating stakeholders’ collaboration for risk assessment/mitigation in the financial supply chain, as a means of confronting complex threats and their cascading effects. FINSEC will provide a mature implementation of the RA, based on the enhancement and integration of novel solutions of the partners (eg., Anomaly Detection, AI CCTV Analytics, Risk Assessment Engines, Collaborative Risk Analysis & Management, Compliance), which will be bundled in a toolbox. The RA implementation and the toolbox will be validated through realistic pilots involving stakeholders in the identification, assessment and mitigation of threats. The five pilots involve high-impact scenarios including SWIFT network protection, buildings and ATM networks security, peer-to-peer payments network protection, risk assessment for insurance purposes and securing financial SMEs. The pilots will engage >=500 security & finance experts, while providing a representative coverage of the financial services industry (ie. banking, capital management, insurance, card & P2P payments), which is a sound basis for FINSEC’s broader impact. Towards maximum impact, FINSEC will establish an ecosystem of security solutions for the financial sector, which will be supported by the partners’ dense network of sales, marketing, standardization and regulation channels worldwide.