At the present stage, the core of AI development is data. However, in the various industries, the accumulation of a large amount of data on the front line, if the effective use, it will bring about the change of the industry. In the opinion of Microsoft, academic research in AI field But also must be closely integrated with various industries, the only way to hit the spark of cross-border innovation, and in Wall Street, machine set the trading point of stock futures, automated trading system is a new normal, AI has long been the core of financial enterprises to enhance Competitive killer technology; services such as street corner, internet banking or community bank service and personal consumer loan repayment are also facilitated by the infiltration of AI. The common denominator is the use of large amounts of data to analyze revenue nodes and financial risks .
Zhang Yizhao said the vast wealth of data and information is the biggest gift of this era, and they are also subverting the most common financial scenarios.For example, any data of individual lenders may reveal key information, even if the release of friends Circle, sports bracelet positioning, can become a source of information in the face of emerging financial management, insurance new products, in the end which is most suitable for their own, may be a professional financial advisers, insurance consultants may not be able to immediately give the most appropriate The answer, one end is the explosion of data and information, and the other is the analysis, summary and transmission of valid messages, the message divide between users and service providers, is the AI's potential entry point in the financial industry.
Zhang Yi Zhao also said that the machine is better at data memory and finishing, to make it more intelligent and have more analytical capabilities, it is the current stage of the AI goal, in addition to different clients recommend suitable financial, insurance and other financial Products, but also provide thousands of financial services, and in the financial industry's back-end, AI power of the same huge space, similar to 'interest rates rose 0.5% over the past 50 years the entire market how the impact?' For human beings, it may be clear that only senior analysts can explain it clearly, but it can quickly analyze analogy models in similar historical situations by comparing timeline data and even analyze and predict. The difference between the two is that analysts To come up with such a model, it may take decades of experience, and AI can quickly get through the boundaries of the field with the help of industry experts.
He further pointed out that a few years ago the tsunami in the Indian Ocean caused floods in many cities in Thailand. What is unknown is that the tsunami hit not only the homes of ordinary people but also the global PC shipments This is because many PC parts are manufactured in Thailand. Generally speaking, the relationship between the tsunami flood and PC shipments will not be easily noticeable, but it actually exists. For the covert internal relations , Industry analysts can use the AI and big data to insight, and make the appropriate judgments.
Similarly, the devastating floods that occurred in Texas this year led to the shutdown of many refineries. This certainly affected oil prices. Due to the complexity of the influencing factors in the upper, middle and lower reaches of the entire eco-system, Analysis, the refinery is in the middle reaches of the entire ecological chain, if the stop production will not only lead to lower prices of refined oil, the upstream crude oil is also likely to sell poor, resulting in price decline, while in the real world, there are many similarities, How to include more variables, to build a more reasonable model in a broader context, are all issues that Financial AI is exploring.
In June of this year, Microsoft Asia Research Institute and Huaxia Fund announced that they would conduct strategic cooperation research on the application of artificial intelligence in the field of financial services. The research directions include forecasting market trends through pattern recognition, mining important factors influencing the market based on deep learning, Learning Methodology Research on industry rotation, building financial graphs based on big data, usage data based on social networks and application software, identifying and in-depth understanding of customers, etc. Insiders hope to take this opportunity to study the AI + financial frontier and promote the financial sector Intelligent transformation, and let massive data and information really value, it is the mission of the financial AI where analysts used to be often barely as strawberries, now rich in raw materials, clever women can take advantage of more efficient AI tools to make the data better, the analyst's responsibilities will be adjusted accordingly to translate and interpret the results of the AI analysis based on years of industry experience, and then to verify and optimize before building Model; AI + financial is not a human replacement, but re-division of labor, AI + HI Together, the entire industry will greatly enhance production efficiency.
Zhang Yi Zhao pointed out that in the Microsoft Building, Beijing, there is a new vending machine, which comes from Microsoft accelerator Gan company, the appearance of vending machines and roadside vending machines look very much the same, but it's Glass cover hidden mystery, closer look will find that the glass cover is also a screen, like the machine's eyes, you can identify the shopper's gender, age, and even when picking the expression of the goods, if in front of it for a while, You may find you take the opportunity to recommend to customers some may be interested in trinkets and so on, and when customers brush credit card, WeChat, Alipay checkout, consumer habits, interactive records are stored, which for retailers and Words, is the freshest, valuable, real first-hand data.Zhang Yizhao also pointed out that this vending machine can be considered a prototype of AI + retail, a lot of AI technologies such as face recognition, computer vision, natural language processing, etc. can Apply to each supermarket checkout, businesses do not need to identify the characteristics of a specific customer, you can get the entire consumer groups atlas, like NIKE, ZARA, STARBUC KS and other famous brands, in recent years are also increasingly concerned about the evolution of the characteristics of its customers and potential customers, the past to go through the staff of copycat, investigators to do the work together in the future with the AI, the related work will be more simple, Accurately and efficiently, to better align the brand tonality.Moreover, issues like how consumers like their products, how much inventory they should stock, etc., will no longer be a problem with the help of retail AI, such as: The rise of unmanned stores and the forecasting of masks, air purifiers sales and stocks through weather forecasts can all be analyzed and predicted more and more accurately with the help of artificial intelligence.
Zhang Yizhao said that in addition to the financial and retail industries, the logistics industry is one of AI's rapidly infiltrating industries. Whether it is sharing bicycles around you, or the logistics system behind couriers / takeovers, or overseas purchases, the global trade involves The global logistics system has undergone tremendous changes under the influence of artificial intelligence. Even with the background of some logistics enterprises, as the volume of data increases sharply, the industry insight they have gained far beyond what people think.
Zhang Yi Zhao also said that another full of futuristic scenes occur in the manufacturing industry, in fact, Industry 4.0, Made in China 2025 can be seen as the future vision of AI in the manufacturing industry, more and more intelligent robotic arm , Robots and sensors, have been deeply applied in many scenarios without too much interaction with humans. Several companies that are incubating Microsoft accelerators have also made helpful attempts in this regard, such as the use of unmanned aircraft technology to explore power generation wind turbines , High-voltage cables and other special equipment materials, cracks, and the corresponding maintenance work, etc. In contrast, in the logistics, manufacturing and other end-users do not have too much interaction scenarios, the application of artificial intelligence rather fast However, in the early days, the fields of medical treatment and health that everyone favored, however, have been slow to apply artificial intelligence because of the restrictions imposed by various management mechanisms and human interactions.
Zhang Yizhao pointed out that in addition to seeing the impact and changes brought by AI to various industries, as the forerunner of artificial intelligence research, Microsoft Research Asia naturally hopes to further promote the deepening of the AI + industry in the era of artificial intelligence, Accelerate the arrival of the era of artificial intelligence, so, with the idea of establishing innovation exchange, hope innovation exchange As a convergence of Microsoft Research Asia top technology experts and experts in various industries innovation wisdom, experience, technology platform that allows Microsoft Research Asia and Large-scale enterprises, investment institutions and government departments in the Chinese market will establish more extensive and in-depth cooperation ties and build a cross-industry communication platform for all to discuss technological innovations in the AI era.
In addition, Zhang Yi Zhaoxi also pointed out that although Microsoft Research Asia with leading AI technology and strong scientific research strength, but researchers for real industry scenarios do not understand, there is no real industry data, based on a small amount of data It is time to build a model and the future of AI must be based on big data, so the combination of AI and the industry is an inevitable trend and now it is precisely the best starting point. "He further pointed out that making AI even more Grounding gas is the correct idea of rapid development, in order to speed up the conversion of AI into productivity, the real landing speed.
Zhang Yi Zhao said at the same time, for Microsoft Research Asia, will continue to basic research in the field of computers, while the creation of innovation is to enable researchers and researchers to better consider from the practical point of view Scientific research issues, the future will be through closed-door technology conferences, seminars and other forms of bridging the wisdom and industry resources, specific problems encountered in the digital transformation of enterprises, tailor-made a dedicated part of the technology exchange, and a business together Explore the broad prospects of AI + industry.