2024-10-13-PitchBook-FinovateFall展示人工智能和银行技术（英）_8页_449kb

FinovateFall 2024 Summary: AI and Bank Tech Trends

Core Content Overview

FinovateFall 2024, held from September 9 to 11 in New York City, was a three-day fintech conference attended by over 2,000 professionals, with more than half from banks and financial institutions. The event focused on AI, bank technology (bank tech), and regulation technology (regtech), showcasing innovations and strategies aimed at improving efficiency, customer experience, and compliance.

Key Themes and Insights

AI is Becoming a Norm in Fintech

• Task Automation: AI-powered task automation is in its early stages but is expected to become a long-term trend over 20 years. It is anticipated to significantly improve profit margins by enabling faster and cheaper operations.
• Efficiency Gains: Enterprises deploying AI internally are seeing improvements in sales, marketing, customer support, coding, and data processing. The cost of AI operations has dropped dramatically, from up to $1.50 to about $0.30 per task, while latency has also improved.
• Consumer-Facing AI: Banks are increasingly using AI for customer-facing applications. Examples include bunq's AI personal assistant Finn, MoneyLion's similar offering, and Nest Bank's AI financial assistant, which helps customers analyze finances, initiate payments, and book meetings with advisors.
• AI in Risk Management: AI is being used to improve risk assessment and fraud detection. For instance, Delfi Labs uses ML to recommend risk mitigation strategies, while Abrigo leverages AI and ML to analyze check attributes and combat check fraud.
• Open-Source and On-Premises Models: Open-source models, such as those from Mistral AI and Meta, are gaining traction due to their cost-effectiveness and flexibility. Companies like InferIQ are building their own small language models (SLMs) to enhance data privacy and client trust.

Bank Tech and RegTech in the Spotlight

• Competitive Edge: Banks and credit unions are increasingly adopting fintech solutions to remain competitive and grow their business. This is driven by the need to attract new customers and improve existing engagement.
• Embeddable Solutions: Several startups are offering embeddable solutions that allow financial institutions to integrate fintech services into their platforms via APIs. These include tools for investment services, unclaimed benefits, and home financing.
• Personalization and Customer Experience: Delivering personalized customer experiences is a top priority. Startups like D imply and Finallytics.ai use AI and ML to tailor financial insights and customer journeys based on location, behavior, and financial data.
• Data Analytics Tools: Data analytics is becoming essential for banks to gain a competitive edge and manage risk effectively. Tools like Bud Financial's AI copilot and FinTech Insights' platform help banks analyze consumer behavior and benchmark their market position.

Deal Environment

• VC Investment Trends: Fintech VC investment remained soft in H1 2024 but showed recovery in Q2 2024, reaching $9.8 billion, a 64.9% increase YoY and 104.8% increase QoQ.
• Notable Deals: Several large fintech deals were announced in August and September 2024, including GCash's $788.4 million late-stage round, Stori's $212.0 million round, and Finally's $200.0 million Series B.
• New Funds: New fintech funds were launched, such as Pruven Capital's Fund II ($378.5 million), MiddleGame Ventures' Fund III ($57.6 million), and others, indicating continued interest in the sector.

Key Startups and Their Offerings

• GPTadvisor: Automates wealth management tasks using AI and emphasizes the potential of future ChatGPT versions to improve data ingestion and processing.
• Odin AI: Uses on-premises AI models to automate bank workflows and is optimistic about the future of open-source models.
• CardLift: Leverages AI to update card information on e-commerce platforms, aiming to expand its supported merchants significantly with improved models.
• SAVVI AI: Offers an end-to-end solution for deploying ML in financial services, enabling product recommendations, payment processing, and forecasting without requiring data scientists.
• Themis: Provides a collaboration tool for compliance, allowing teams to work together while maintaining auditable trails.
• Winnow: Focuses on compliance with a database of over 60,000 regulatory requirements, supported by more than 140 attorneys.

Conclusion

FinovateFall 2024 highlighted the growing integration of AI in fintech, particularly in bank and regtech applications. While AI adoption is accelerating, especially among large banks, challenges such as data privacy, integration complexity, and the need for C-suite support remain. The conference also emphasized the importance of embeddable solutions, personalization, and data analytics in driving competitive advantage and customer engagement.