The financial sector is highly sensitive to the acceptance and application of new technologies, especially in the use of generative AI technology.
According to the latest Gartner survey, 66% of bank leaders expect generative AI to have more potential for benefits than for their organizations. In addition, 61% of bank executives surveyed said their companies are increasing their investment in AI or plan to do so in the next 12 months.
Since the advent of generative AI and LLM-based AI agents, it has attracted a lot of attention in the financial industry. Many financial companies are jumping on the business value quest to get ahead of the curve. At the same time, technology companies are also actively deploying in this field, racing against time to develop and launch corresponding agent products to meet the urgent needs of the market.
So what kind of AI agent products and solutions can really be commercialized?
Gartner provides a reference.
Here are 20 of the most promising use cases for generative AI in banking according to Gartner in a report:
These application cases cover the main business scenarios of banks. Any case can show the powerful advantages of agents. For example, in Case 9, an AI financial coach who can provide users with financial advice can increase revenue by at least 30%, and the time spent by organizations creating new content for customers can be greatly reduced in terms of efficiency.
The digital workforce, built with generative AI technology, can dramatically enhance banking capabilities, optimize customer experiences, and reduce risk. Among the 20 cases, the comprehensive credit data involved in Case 1, the front-line application of AI-Copilot in Case 2, and the personalized marketing content in Case 4 all demonstrated a high degree of value and practicality.
In the field of fintech, the application of agents is extremely wide, not only limited to back-end operations, but also includes various customer services and applications, such as mobile payment, crowdfunding, etc. The advantage of agents is their ability to automate routine tasks, which unleashes people's creativity and increases efficiency and productivity. Agent-twin solutions will have a profound impact on the financial industry, making it more efficient, secure, and expanding the reach and audience of services.
On August 16, 2023, the domestic AI quasi-unicorn company Real Intelligence released its self-developed vertical large language model "TERS", and at the same time launched the industry's first real agent agent agent product based on large models, further greatly reducing the application threshold for digital employees and realizing "what you say is what you get, you say PC does".
The agent will have a great future in the financial industry, which is embodied in the following aspects:
1.Improve service efficiency: The agent is like a robot assistant with super intelligence and memory, and under the guidance of the LLM, it can automatically solve various common problems. For example, independent thinking, reasoning logic, and adjusting task priorities as needed. When a worker triggers an instruction, they can quickly complete the relevant tasks.
2.Optimize customer experience: Agents can provide customized financial products and services according to the personalized needs of customers to improve customer experience. For example, agents can recommend the most suitable investment portfolio for customers based on their investment preferences and risk tolerance.
3.Improve the level of risk management: The agent can analyze a large amount of data to help financial institutions identify and improve the level of risk management.
4.Promote financial innovation: Agents can quickly respond to market changes, help financial institutions develop new financial products and services, meet customer needs, and promote financial innovation.
5.Enhance financial supervision capabilities: Intelligent twins can help regulators monitor market dynamics in real time, identify and prevent financial risks, and improve financial supervision capabilities.
The application of intelligent twins in the financial industry can bring many advantages and conveniences, which can help promote the development and innovation of the financial industry.