2020-03-25 13:58:18
As technology advances, the financial sector has gone through the development process of digital, mobile-oriented. And artificial intelligence, big data, cloud computing and other new technologies are financial services to a new stage intelligent. By the end of 2019, more than 90% of the world's top 500 financial companies have come into contact with the application of artificial intelligence techniques. This rapid iterative technique also stimulates changes in the financial system. At present, the financial industry-related developments in the field related to financial wisdom, smart investment consulting, risk control and other intelligent being gradually become the focus of the policy and the company's interest.
With the depth of integration of financial and technology, artificial intelligence application has been integrated into more financial services payments, personal loans, business loans, wealth management and asset management. A large number of financial institutions around the world are at the beginning of the development or use of artificial intelligence techniques. In this trend, Almost Human industrial research teams in the "occupied AI finance --AI + financial industry research report" based on the introduction of the "Global 500 - the financial industry set of Artificial Intelligence Applications", from a technical and floor-level depth analysis of the development opportunities and artificial intelligence technology in all areas of the financial industry, we hope to give the relevant industry practitioners and managers inspire, embrace the digital economy provides a starting point enabling the transformation of reference.
The case set includes Almost Human analyst team selected from Fortune 500 companies in the financial sector 20 representative Artificial Intelligence Applications Detailed, its segments covering more popular scene payments, underwriting, trading and so on. From a technical point of view the task, face recognition, depth of learning, knowledge maps, machine learning, and other large data are currently popular development direction of the financial sector.
Report Contents are as follows:
Financial Overview section Case
Achieve gold dress and brush face ant KFC use face recognition technology to pay
Abstract: pay treasure brush face recognition technology to pay in the image data accumulated current support payments reach 99.99% recognition accuracy. Application of test meal Hangzhou Kentucky automatic machine, the user can be done in case of different costumes, makeup, hair color, etc. to complete the identification by the camera, and complete meal. In addition, the country has 11 cities in the next supermarkets, pharmacies and other retail outlets pilot line 23 brush face payments.
Ping'an technology utilizes artificial intelligence technology to optimize the flow of auto insurance to assess the damage
Abstract: Ping Ping brain science and technology independent research and development of smart engine is one of its flat Anyun Ping audience products. Ping brain intelligence engine is integrated artificial intelligence technology service platform. Brain comprehensive peace depth learning, data mining, biometrics and other artificial intelligence techniques to provide solutions for various scenarios. In the financial scenario wisdom, peace brain intelligent engine casualty insurance for applications to take advantage of the depth of learning techniques to image data mining auto insurance information online automatically realize the damage.
BNP Paribas using intelligent algorithms to predict the risk of financial transactions
Abstract: BNP Paribas for a financial transaction scenarios developed a product called Smart Chaser intelligent predictive analysis tools, and deployment in the trading system, designed to detect hidden problems and risks before the transaction fails. Smart Chaser analysis of thousands of data failures, as well as 100 cases each relevant factors will be based on intelligent algorithms to extract features of the case. Then, the software will analyze the results to match the historical data for factors existing transactions, including trading hours, value, trading partners, and brokers operating history and so on. In the transaction process, Smart Chaser will replace the trader to verify the information work proactively identify transactions that require manual intervention, and automatically generate e-mail notification traders, so they can take appropriate action in a timely manner, thus reducing the chance of failure of the transaction.
ING Group uses intelligent algorithms assist traders decision making
Summary: ING bond trading scene for the deployment of intelligent trading decisions aids, Katana. Katana will be analyzed for information about each transaction and compare historical data, and visualize the results, presented in an intuitive graphical form to traders. Unlike today's popular "automated trading", the role of Katana mainly used to assist human workers, accelerate decision-making efficiency and effectiveness, rather than replace human traders in the form of completely automated. Katana is accompanied analytical capabilities, ING's traders to save most of the time consumption information in screening and analysis work in a more efficient way to use their expertise and experience in the industry to provide customers in each transaction behavior the best offer.
