Capgemini-TechnoVision_2025_金融服务（英）_26页_4mb

报告摘要

The financial services industry is undergoing rapid transformation driven by technological advancements, shifting customer needs, and disruptive technologies.
Key themes include balancing innovation with responsibility, emphasizing human oversight in AI deployment.
The report highlights seven "containers" to analyze technology trends: You Experience, We Collaborate, Thriving on Data, Process on the Fly, Applications Unleashed, Invisible Infostructure, and Balance by Design.

Focus on humanizing digital interactions through AI, creating personalized and engaging customer experiences.
Key trends: AI-powered emotional recognition, hyper-personalization using advanced analytics, and embedded finance integrating financial services into everyday apps.
Examples: Société Générale's chatbot Eliott and KB Insurance's AI avatars enhance customer engagement. Embedded finance tools, like those from DBS and USAA, offer seamless, integrated experiences.
Benefits: Improved customer trust, satisfaction, and operational efficiency through tailored services and reduced friction in financial transactions.

Emphasizes open innovation ecosystems, sharing data securely, and leveraging collaborative AI agents across industries.
Key trends: Decentralized identity management (e.g., DLT-based solutions), partnerships for cross-sector collaboration (e.g., health insurers with hospitals), and autonomous AI systems for business operations.
Examples: Capgemini's alliances with partners like omni:us and Smartpay for embedded insurance, and initiatives like federated learning for secure data sharing.
Benefits: Enables faster innovation, secure data exchange, and tailored financial products, fostering synergies that address evolving customer needs.

Data is central to driving innovation, enhancing customer experiences, and achieving sustainability goals.
Key trends: AI-driven data intelligence for insights and automation, data monetization through open finance regulations, and robust data governance for security and compliance.
Examples: European Central Bank's AI for ESG reporting and Mastercard's Sustainability Data Hub facilitate data-driven decision-making. Generative AI tools like Cohere help with data analysis.
Benefits: Reduces errors and costs, improves regulatory compliance, and unlocks new revenue streams by leveraging customer and payment data responsibly.

Agentic AI is redefining business processes, making them more efficient, automated, and adaptive.
Key trends: Transitioning from silos to microprocesses using APIs, AI simplification of tasks like fraud detection, and human-in-the-loop approaches to ensure accuracy.
Examples: Goldman Sachs' digital twin technology and ANZ's modern microservices architecture enhance operational efficiency. JPMorgan's AI for contract review automates repetitive workflows.
Benefits: Accelerates innovation, improves resilience, and reduces costs by enabling faster decision-making and streamlined operations in areas like underwriting and claims processing.

Applications are becoming cloud-native, sustainable, and AI-augmented, enhancing developer productivity and user experience.
Key trends: Building headless apps with conversational AI interfaces, agentic architectures for faster code generation, and sustainable engineering for energy-efficient apps.
Examples: NAB's use of Amazon Q Developer for AI pair-programming and Farmers Insurance's Spot robot showcase innovative, adaptable solutions. Custom generative AI tools improve development speed.
Benefits: Improves performance and scalability while reducing resource consumption, allowing businesses to innovate quickly and responsibly.

Infrastructure is evolving with cloud, edge computing, and AI to support resilience, quantum safety, and efficiency.
Key trends: Consolidating core computing to enhance AI capabilities, transitioning to quantum-safe solutions, and optimizing cloud deployments for sovereignty and sustainability.
Examples: Barclays' HPE GreenLake Cloud and TIAA's AI-enhanced security demonstrate hybrid approaches. Quantum-safe cryptography protects sensitive data from future threats.
Benefits: Ensures long-term security, enhances operational agility, and provides cost savings through optimized resource utilization.

Advocates for responsible AI use, embedding sustainability and human oversight into technology strategies to maintain balance between innovation and ethics.
Key trends: Proving AI models for bias and transparency, sustainable practices integrated into operations, and agile resilience to technological advancements.
Examples: AXA's ethical AI framework and Capgemini's focus on human-AI collaboration highlight the need for explainable AI and environmental responsibility.
Benefits: Builds trust, ensures regulatory compliance, and promotes resilience in a fast-changing tech landscape.

TechnoVision 2025 underscores the importance of strategic balance in technology adoption, with AI, data, and collaborative ecosystems driving transformation in financial services.
Capgemini provides expertise in navigating these trends, helping organizations achieve efficiency, innovation, and sustainability through tailored solutions and frameworks.

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