AI is not just a technological tool; it's a catalyst for transformation in the financial sector.
In a rapidly evolving technological landscape, flovver must stay ahead by constantly reinventing itself. This is not merely a choice but an essential requirement in our industry.
In the age of AI, although some uncertainties may arise, we see these challenges as opportunities and approach this period of transformation with a proactive and thoughtful vision to anticipate and meet the financial needs of tomorrow. Our commitment to total transparency with every new technological integration offers our clients the peace of mind needed to navigate this transition towards a future where innovation and security are at the heart of our shared vision.
Here are some advancements highlighting our industry's shift towards integrating AI technologies to improve efficiency, security, and customer experience:
Decentralized Finance (DeFi)
DeFi, which leverages blockchain technology, is revolutionizing financial services by removing intermediaries. This sector is growing rapidly, with applications in lending, borrowing, and asset trading. DeFi promises more inclusive and transparent financial systems, but it also needs to overcome regulatory and security challenges.
Customer Protection and Data Security
With the increase in data sharing, the focus is on consumer protection and data security. This means using strong encryption methods, secure data storage solutions, and complying with regulations to gain and maintain customer trust.
Increased Spending on Cybersecurity
Financial institutions are significantly increasing their spending on cybersecurity to protect against sophisticated cyber threats. This includes investments in cybersecurity, data protection, and IT management software.
Generative AI (Gen AI)
Financial institutions are increasingly adopting generative AI for tasks ranging from customer service chatbots to risk assessment models. These tools can generate text and responses similar to those of humans, improving customer interactions and streamlining operations. A centralized model is often used to implement them to efficiently allocate resources and better manage risks.
Behavioral Biometric Authentication
To combat growing cyber threats, financial institutions are increasingly using biometric authentication methods such as fingerprint recognition, facial recognition, and voice recognition. These methods provide robust security measures to protect sensitive data prevent fraud.
Statistiques intéressantes sur l'adoption de l'IA dans le monde de la finance :
77%
of major financial institutions were already using AI in 2020. This evolution sets new standards for operational efficiency.
70%
of banking customers prefer AI-based services for their convenience and speed. AI is no longer just a trend but a customer expectation!
15 to 20%
AI is a game-changer for credit risk assessment, improving accuracy and reducing default rates by 15 to 20%.
40%
Automated lending platforms process applications in minutes and reduce operational costs by up to 40%.
20 to 30%
Thanks to AI, businesses are reducing fraud-related losses by 20 to 30%. This is a significant gain in security and trust for financial transactions.
4.6 trillion
In 2022, robo-advisors managed approximately $4.6 trillion, providing personalized investment advice and making financial planning more accessible than ever.
25 to 35%
Automating back-office processes with AI can lead to cost savings of 25 to 35%, allowing businesses to reinvest in innovation and customer service.
10 to 15%
AI helps accurately assess the creditworthiness of small and medium-sized enterprises (SMEs), increasing loan portfolios by 10 to 15%.
References:
The Economist Intelligence Unit (2020), McKinsey & Company, PwC, SAS, Business Insider Intelligence, Capgemini, Accenture, KPMG