The world of Financial Services applications is changing due to the increased openness of IT environments, mergers and acquisitions, and above all, significant challenges brought on by customer and market dynamicity. The FS sector searches for the right answer to these changes and challenges by doing research into the Future of Financial Services.
For more than ten years, R&D projects have been developed in order to ensure secure transactions, provide higher availability, confidentiality and integrity of financial services, and in recent times new trends like Big Data, IoT, and Competitive Intelligence are also paving new research in information management for financial services.
The goal of this sector is to ensure transition and explore the application of our research & innovation solutions in the financial services industry. These solutions are rooted in our activities in information security, semantic technology for the real time processing of data (e.g. news and transactions, among others), and smart city technologies.
The Research & Innovation Financial Services sector feeds requirements, business concerns and challenges of the Financial Services industry to motivate research activities in multiple areas of work, while also opening opportunities for exploitation of research outcomes in banking, insurance, and financial services.
- Helping Financial Services customers identifying R&D challenges and driving them into requirements for new R&D projects.
- Promotion of project results and developed assets to Atos customers in the Financial Services sector.
- Development of ICT systems and platforms that support innovation in Financial Services, both in their operation and in their business models.
- Elaboration of plans for the exploitation of research project results in the Financial Services market.
Customers in the Financial Services market are faced with challenges of both technical and business nature that call for ICT-based solutions.
- Adapting business models to an economy more and more driven by management of information.
- Taking stock of the vast amounts of information owned by banks, to be exploited for the business and operational benefit of the organization.
- Security concerns over the use of emerging technology business models (e.g. cloud computing).
- Exploiting the potential of mobile and social-networking technologies in banking, and in insurance.
- Management of compliance in a highly regulated business environment.
- Analysis of large amounts of information to derive intelligence for enhanced competitiveness and improved operational efficiency.
- Data trends and sentiment analysis.
- Security in cloud computing, allowing the adoption of models such as SaaS, PaaS and IaaS (identity as a service) by the Financial Services industry, largely reliant on legacy technologies.
- Privacy-enhancing technologies and advanced cryptography approaches as building blocks for privacy-enhancing identity management and data management in trusted and untrusted domains.
Addressing trustworthy ICT through a European strategy to protect cyberspace, with target audiences ranging from research communities and industry to public authorities and infrastructure operators.
Action that puts cyber-risk management at the heart of good business practice, benefiting critical infrastructure and process owners, and ICT-intensive SMEs. Provision of a cyber-risk management framework able to assess, monitor and mitigate risks in real-time, in multiple industries.
Automatic and efficient privacy provisioning solutions, keeping data confidential (encrypted and privacy-protected) in the un-trusted environment, while the data owner can operate with and make use of the data in the encrypted domain.