Top 10 Fintech Tech Trends of the Year: Computer privacy blockchain is the key to people financial management.

How should we look at the technological process in the Fintech cycle?

Today, the Guanghua-Duxiaoman Financial Technology Laboratory at Peking University released "Top 10 Technology Trends in Global Financial Technology for 2022" Covering Personal Information, Large-Scale, Multidisciplinary Digital Twins, and More .

After the first year of large applicationprivacy, how will it contribute to the development of the financial information ecosystem this year?

big model,metagalaxia,multimodalHow does this huge controversy affect finances?

And what technologies have already been developed that are economically viable?

Now, with this article, you will be able to read the top 10 technology forecast for the budget of the year. Here is a brief summary:

Trend 1: “Data can be used but not seen”, Privacy Computing helps financially create a data ecosystem.

Confidentiality makes it possible to recognize the “availability and invisibility” of information in the process of exchange and integration. As the demand for data connectivity increases and information security policies continue to emerge, internet giants, technology companies, and financial firms are gaining ground in the private sector. In business in 2021The first year of the ledger.

Likedata intensive industry, financial services are an industry that needs quick access to information, and is an important business for personal information, including technology. Private use can help business financial information around the center of information security and is often used for credit risk management, business accuracy, security protection, fraud, and face payments.

By 2021, many countries will continue to strengthen information security laws, for example, China has the "Data Security Law", the "Personal Information Protection Law", " credit investigation management measures ”and Korea. contains "My Information" related to policies and services. information. Disseminate information and strengthen data protection.

In this context, in 2022, with the continued publication of industrial models for counting personal data and new related technology changes,privacyIt will play a larger role in the development of the financial reporting ecosystem.

Method 2: Growing companies and large models become the subject of the Global AI Technology Challenge

With the advancement of algorithms, there is a gradual increase in the computation of energy and data size,before training great modelsIt has become a new direction for intelligence. By relying on pre-training objectives and large-scale models, a wide range of knowledge can be retained in the context of the diversity and diversity of activities. can be accomplished in different situations. Large models improve the diversity of AI and help solve the problem of cracking in AI application scenarios.

Since OpenAI introduced the Language Processing System (NLP) before GPT-3 standardization in 2020, large-scale protocols have caused a global uproar and have become an integral part of the process of testing new technologies. In 2021, Google began to model early exchanges, Baidu developed a major knowledge development prototype Fengcheng-Baidu Wenxin, and Huawei released a prototype of Pangu .... The large prototype began to expand to many places in natural language. .

Now in terms of landing appbig modelIt is also in the phase of active research into the building. With the continuous improvement of technological performance, the continuous operation of industry standards and the gradual development of process control systems, large-scale models will create a new wave of knowledge applications.

Trend 3: A new wave of improvements has appeared in the VR / AR industry with the help of “meta edge”.

As more and more interconnected industries in the chain industry develop slowly, multiplatform transmission has led to the demand for "zero contact", and VR / AR technology has entered the development stage shortly. time after experiencing a hype, dip and comeback. China has also included "virtual reality / virtual reality" among the key players in its digital business in its "14th five-year plan".

Year 2021,"Metagalaxia"Fire advice. VR / AR can pave the way for the new path of human-machine interaction, seen as the material connection of the meta-world and the real world. With the help of Metaverse, the VR / AR industry has opened up new possibilities. According to IDC forecasts, the global virtual reality market share will grow by 46.2% year-over-year by 2021, with growth of around 48% between 2020 and 2024, and to worldwide. AR shipments are expected to reach 24.4 million units by 2025.

In 2022, Apple is expected to announce its first MR product, Oculus is expected to announce its Quest Pro, which could design its next-generation VR model, and Sony is expected to release its next-generation PS VR headset. .

Method 4: Interest in multimodal learning that leads to different application skills

Multimodal education started before 1970, and after several stages of development it entered the higher education level after 2010. One of the first research applications was knowledge. In terms of audiovisual speech, and by combining both video and audio, multimodal learning begins to provide a better learning experience.

From 2020, as the protection needs for "face wear" and "non-contact" by static transmission respond to the constant risk of personal biometric data, such as fingers and toes, various solutions frequently start to win. ground in industry. With high precision, stable security and a wide range of application scenarios, multimode biometrics has become the mainstay of the industry and has increasingly used a wide range of applications such as finance, citizenship of security, immigration, security and education.

In 2022, as part of improving privacy, a wide range of biometrics will combine the advantages of a variety of biometrics, transforming technological processes and decisions necessary for weight, and adapt to the variability of different applications. Several application landing scenarios.

Method 5: Low-code and non-code applications heat up, enabling the digital transformation of the financial system.

In 2014, Forrester Research came up with the concept of “low cost development,” which Gartner dubbed aPaaS-based High Productivity Platforms (hpaPaaS). In 2018, Siemens acquired Mendix, the low-cost application maker, and low-code platform OutSystems received $ 360 million.

In the domestic market, the gap between expanding software needs and the existing R&D system due to digital transformation is widening, and the existing legacy is unable to meet the needs of the forex market. Less code or no code may solve this problem better.

The development of low-code / non-code platforms can lead to greater profitability in financial markets and enable digital change in financial markets. On the other hand, the low-code / non-code development platform can meet the changing business needs of the organization at any time, and on the other hand, it can realize the visual design, model visibility and visual improvement. In 2022, low-code / no-code will allow financial markets to make changes more quickly.

Route 6: The cloud-based technology ecosystem is growing slowly, injecting new technologies for innovation and advancement in the financial industry.

In 2015, the Cloud Native Applications Foundation (CNCF) was established.Cloud native technologies and applicationsNational development begins to accelerate. Over the past few years, the cloud-native tech ecosystem has shifted from focus on applications such as packaging, microservices and DevOps to technology, technology orchestration and management, technology security, monitoring and technology assessment and application scenario.

As the transformation of the digital industry deepens, business applications must be developed by cloud-native technologies, architectures and services. In 2021, global weather applications will continue to grow. Cloud native apps can easily measure and scale conversions, and by modifying the cloud on a per-stroke basis, you can maximize user experience and lower server costs. At the same time, the cloud native application platform can accelerate the application industry and adapt to the needs of different situations.

Currently, some developers in the financial industry continue to innovate on the basis of cloud native architectures in terms of technology architecture, rapid product development, user improvement and consumer portrait exposure. Gartner estimates that by 2022, 75% of global companies will be using one-of-a-kind weather applications in manufacturing.

Trend 7: Market interest has increased and the digital twin symbol is an important starting point for the digital transformation market.

In 2003, Professor Michael Grieves of the University of Michigan first proposed the concept of “digital twins”. Digital twins were first used in aerospace. With the development of the next generation of information, digital twins have started to expand into verticals such as smart manufacturing, smart cities, transportation, healthcare, and more. Agriculture has become an important force in the rapid and rapid digital transformation. transformation of the economy. Development of digital activity.

Currently the world uses digital twin cards, and in 2020 the United States and Germany formed the Digital Twin Alliance and the Industrial Digital Twin Association as a joint venture and development of the digital twin industry to have a new business. In China, the pursuit of building a digital twin city was documented in the "14th Five-Year Plan" and has become a national development strategy. According to Global Market Research, the global digital twin industry will reach $ 28.7 billion in 2026 compared to $ 4.6 billion in 2020.

As digital twin technology continues, it can also be used for future financial events. Financial companies can use digital twin tools to build 'digital leaders' to deliver personalized and personalized services to their clients, and use digital twin templates to create business products, print finance, and recreate business products .

Method 8: By providing technological resources, Blockchain supports the financial chain in the 3.0 era

In today's world, countries compete with each other and manufacturing companies are increasingly important. After all, the competition in the industrial chain is the competition between commodities and chains, so it is important to create the efficiency of the financial chain. After the spread, eight departments and management, including the central bank, joined in the "reflection on the management of improving the financial chain, promoting a stable cycle." financial chain. I do. “The use of blockchain, big data, smart technology and other new technologies. Information technology will continue to improve the security of financial services platforms, information, etc. "

He will often build the financial chain or build the next house for the fintech company. In September 2021, former Zheshang Bank chairman Xu Renyan joined Duxianoman Finance as head of FinTech sector and simultaneously as leader of Duxiaoman Supply Chain Technology Co., Ltd. You can see it in Happiness. Duxiaomanga changed the focus of the financial industry process for the chain. In December, Du Xiaoman used blockchain technology to help SMEs announce the first new venture capital products directly at the Beijing financial institution. Another large online company announced the launch of a technology as part of the “Dayan System” financial solutions chain in October 2021.

Currently, blockchain technology is mainly used in the 2.0 product model in key industries to solve the issues of integration, reliability, digital credit certification and close the deal automatically. Going forward, by integrating technologies such as the Internet of Things and big data to build blockchain collaboration and a legacy network, blockchain technology must change the business model of financial products and support the financial chain urgently. . enterprise 3.0 These standards are evolving.

Trend 9: “Don't believe, always check,” zero confidence creates a stable financial market.

Unlike the environmental security procedures in the network, Zero Trust uses the principle of "never trust, always recognize", including self as the access base for management, and reduced real-time access to the base, a continuous accreditation and effective access control. , consent, control and control are linked to ensure the reliability and regularity of the assessment.

By 2021, the United States has enacted several non-trust measures, such as the "zero trust federal" and "zero trust maturity model," and 82% of European businesses will increase their risk of spending without trust. For the opinion research project, “Zero Trust Security” is called “Core Cyber ​​Security Technology”. There must be a breakthrough. The internet is huge and tech companies are still exploring the implementation of Zero Trust.

Trend 10: Cloud, Edge, End Partnerships, and Edge Computing are helping financial firms realize the benefits of "security and efficiency."

Edge computing is seen as a continuation of cloud computing and adds and evolves in conjunction with cloud computing. Edge counting provides time for robust data processing and analysis, which can provide users with high-end services, while Edge counting only works on its own, so data follows local and data transfers. Very sure. Edge computing also eliminates the need for excessive bandwidth, offloads network bandwidth, and further reduces power consumption of smart devices.

With the continued advancement of technologies such as 5G and the Internet of Things, edge computing is fast approaching. Faced with the challenges of big data in IT, counting new situations and complementing small data, edge computing has become an important computer for the realization of technology in the data age, providing application knowledge, timely trade. and the protection of privacy in the digital exchange of various industries.

In many situations where real-time security and financial security are involved, financial margins can lead to improvements. Edge counting may become an important export in the future as more and more data is stored and counted resources are available on the edge.